Results 281 to 290 of about 4,330,422 (350)
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
Somatosensory-visual effects in visual biological motion perception. [PDF]
Progin P+7 more
europepmc +1 more source
Cognition Helps Vision: Recognizing Biological Motion Using Invariant Dynamic Cues
Nicoletta Noceti, A. Sciutti, G. Sandini
semanticscholar +1 more source
Molecular dynamics simulations are advancing the study of ribonucleic acid (RNA) and RNA‐conjugated molecules. These developments include improvements in force fields, long‐timescale dynamics, and coarse‐grained models, addressing limitations and refining methods.
Kanchan Yadav, Iksoo Jang, Jong Bum Lee
wiley +1 more source
Combining biological motion perception with optic flow analysis for self-motion in crowds. [PDF]
Hülemeier AG, Lappe M.
europepmc +1 more source
This study explores the use of laser‐induced forward transfer in the picosecond regime to create in vitro biomodels. Focusing on hydrodynamics and rheology, it investigates jet dynamics through time‐resolved imaging, optimizing laser fluence, biological ink viscosity, and printing distance to precisely control the volume and location of bioink ...
Lucas Duvert+5 more
wiley +1 more source
Eye-specific detection and a multi-eye integration model of biological motion perception.
De Agrò M, Rößler DC, Shamble PS.
europepmc +1 more source
Beyond Order: Perspectives on Leveraging Machine Learning for Disordered Materials
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
Pitting optic flow, object motion, and biological motion against each other. [PDF]
Koerfer K, Lappe M.
europepmc +1 more source