Results 211 to 220 of about 566,519 (289)
Pre-Training Effects on Sleep-Dependent Consolidation of Novel Word Learning in Immersive Virtual Reality. [PDF]
Liu Z, Jiao L.
europepmc +1 more source
Accelerating Biosensor Discovery: A Computationally‐Driven Pipeline for Microplastics Monitoring
A computationally guided pipeline unites molecular simulation, synthetic biology, electrochemical engineering, and machine learning to accelerate biosensor discovery. A Bacillus anthracis carbohydrate‐binding module is used to develop a high‐performance micro‐ and nanoplastics sensor with greatly reduced error and variability.
Gabriel X. Pereira +13 more
wiley +1 more source
How do teachers' roles transform in metaverse classroom? The mechanisms of awe experience and differences across teaching stages. [PDF]
Li H, Liu Y, Du J, Pan Y.
europepmc +1 more source
In this work, the Doubao large language model (LLM) is involved in the formula derivation processes for Hubbard U determination regarding the second‐order perturbations of the chemical potential. The core ML tool is optimized for physical domain knowledge, which is not limited to parameter prediction but rather serves as an interactive physical theory ...
Mingzi Sun +8 more
wiley +1 more source
Human-Inspired Force-Motion Imitation Learning with Dynamic Response for Adaptive Robotic Manipulation. [PDF]
Tong Y, Liu H, Yang T, Zhang Z.
europepmc +1 more source
Enhancing Sensitivity across Scales with Highly Sensitive Hall Effect‐Based Auxetic Tactile Sensors
Herein, a tactile sensor based on hall‐effect sensors with an auxetic structure, called Hall effect‐based auxetic tactile sensor (HEATS), is proposed. The change in magnetism resulting from the deformation of the auxetic structure is utilized for sensing.
Youngheon Yun +6 more
wiley +1 more source
A comprehensive perspective of the innovation and reflection on virtual reality in the teaching and learning of anesthesiology. [PDF]
Zhang J, Lin T, Shi Y, Wu Y, Yu F.
europepmc +1 more source
Quadrotor unmanned aerial vehicle control is critical to maintain flight safety and efficiency, especially when facing external disturbances and model uncertainties. This article presents a robust reinforcement learning control scheme to deal with these challenges.
Yu Cai +3 more
wiley +1 more source

