Results 221 to 230 of about 229,039 (343)
Advanced Engineering Materials, EarlyView.This article provides a comprehensive overview of fundamentals and recent advances of transparent thin‐film surface acoustic wave technologies on glass substrates for monitoring and prevention/elimination of fog, ice, and frost. Fogging, icing, or frosting on optical lenses, optics/photonics, windshields, vehicle/airplane windows, and solar panel ...
Hui Ling Ong +11 more
wiley +1 more source
Evaluation of Convolutional Neural Network-Based Posture Identification Model of Older Adults: From Silhouette of Sagittal Photographs. [PDF]
Geriatrics (Basel)Sugiyama N +4 more
europepmc +1 more source
On the Mechanics of Blood Flow, with Special Reference to the Influence of Change of Posture
, 1927 Dickinson W. Richards
openalex +1 more source
Advanced Engineering Materials, EarlyView.The authors explore thermally initiated diazonium chemical surface modification as a means of improving the mechanical performance of milled carbon fibers in epoxy matrix systems at varying loadings by weight. They report significant improvements at <1% w/w loading through examination of flexural and tensile strength and modulus.
Ben Newman +4 more
wiley +1 more source
Postural effects of dental loupes in pediatric dental practice? [PDF]
BMC Oral HealthÇınar R +3 more
europepmc +1 more source
Enhanced Fog Water Harvesting on Superhydrophobic Steel Meshes
Advanced Engineering Materials, EarlyView.Fog harvesting using mesh designs offers a sustainable solution to water scarcity. This study highlights key considerations for fog harvesting research and develops a methodology for a standardized protocol reflecting fog characteristics and environmental conditions.
Pegah Sartipizadeh +3 more
wiley +1 more source
Effect of digital health corrective posture exercise program on head and shoulder posture in adolescents: A cluster randomized controlled trial. [PDF]
Medicine (Baltimore)Baek CY +6 more
europepmc +1 more source
Beyond Order: Perspectives on Leveraging Machine Learning for Disordered Materials
Advanced Engineering Materials, EarlyView.This article explores how machine learning (ML) revolutionizes the study and design of disordered materials by uncovering hidden patterns, predicting properties, and optimizing multiscale structures. It highlights key advancements, including generative models, graph neural networks, and hybrid ML‐physics methods, addressing challenges like data ...
Hamidreza Yazdani Sarvestani +4 more
wiley +1 more source