Results 71 to 80 of about 1,410,183 (293)
2D Skeletal Muscle Thin Film Actuators Enhance Efficiency of Biohybrid Robots
2D skeletal muscle thin film actuators generate millinewton‐scale forces and millimeter‐scale strokes while remaining functional for over 30 days. Their force density is 20‐fold higher than 3D skeletal muscle actuators, enabling multi‐fin robots with tunable speed and multidirectional steering.
Maheera Bawa +5 more
wiley +1 more source
From reading style to cognitive style and its possible application: an eye-tracking and CFT approach
Reading strategies and cognitive styles have been the objective of many researchers. However, the relation between these two concepts remains unclear. This paper is focusing on three goals.
Wei-lun Lu +4 more
doaj +1 more source
Liquid–liquid interface assembly enables the fabrication of solution‐processed MoS2 and WSe2 centimeter‐scale, nanometer‐thick type‐II heterostructures on paper. Interfacial charge separation and hopping‐limited recombination produce rectification and persistent photocharge retention at zero bias.
Aniello Pelella +11 more
wiley +1 more source
Eye-Tracking Methodology and Applications in Consumer Research
Eye-tracking technology is a means of exploring the relationship between visual attention and consumer behavior. In the past, eye-tracking technology has been used to conduct research on consumer decision-making, marketing, and advertising.
Hayk Khachatryan, Alicia L. Rihn
doaj +1 more source
Abstract Magnetoencephalography (MEG) can measure brain activity in ms-level temporal resolution. MEG sensors are super sensitive devices for magnetic signals of the brain but are also prone to electromagnetic interferences. The MEG device is located inside the magnetically shielded room (MSR), and any monitoring device used inside the MSR ...
Jousmäki Veikko, Saarinen Veli Matti
openaire +2 more sources
Dataset for eye-tracking tasks
In recent years many different deep neural networks were developed, but due to a large number of layers in deep networks, their training requires a long time and a large number of datasets. Today is popular to use trained deep neural networks for various tasks, even for simple ones in which such deep networks are not required.
openaire +2 more sources
In this study, Hammer et al. highlight cyclic‐arginine surface engineering as a highly biocompatible, controllable, and concentration‐dependent regulator of intravitreal nanoparticle mobility in vivo in a translational large animal model. The cyclic arginine surface‐modification supports the development of next‐generation biomaterials for long‐acting ...
Maximilian Hammer +12 more
wiley +1 more source
Optical Detection of Cellular Signals at Material Interfaces
Emerging functional materials are transforming optical detection of cellular signals. This review highlights optical techniques that exploit the unique optical properties of diverse materials to detect and quantify cellular electrical, chemical, and mechanical signals, and discusses key opportunities and challenges.
Xuchen Ren +5 more
wiley +1 more source
Eye tracking has become increasingly popular as a quantitative research method in translation research. This paper discusses some of the major methodological issues involved in the use of eye tracking in translation research.
Hvelplund, Kristian Tangsgaard
core +1 more source
Ferroelectric Quantum Dots for Retinomorphic In‐Sensor Computing
This work has provided a protocol for fabricating retinomorphic phototransistors by integrating ferroelectric ligands with quantum dots. The resulting device combines ferroelectricity, optical responsiveness, and low‐power operation to enable adaptive signal amplification and high recognition accuracy under low‐light conditions, while supporting ...
Tingyu Long +26 more
wiley +1 more source

