An unmanned intelligent inspection technology based on improved reinforcement learning algorithm for power large-area multi-scene inspection. [PDF]
Wang E, Meng X, Yu J, Wang J, Yin L.
europepmc +1 more source
A novel stratum corneum‐inspired zwitterionic hydrogel is developed for intelligent, flexible sensors, featuring intrinsic water retention and anti‐freezing properties. The quasi‐gel, composed of hygroscopic polymers and bound water, maintains its softness across a wide range of humidity.
Meng Wu+8 more
wiley +1 more source
The Emotional Reinforcement Mechanism of and Phased Intervention Strategies for Social Media Addiction. [PDF]
Wang J, Wang S.
europepmc +1 more source
Heat Conduction Modulation in Incommensurate Twisted Stacking of Transition‐Metal Dichalcogenide
The interlayer thermal conductance in twisted bilayer TMDs is initially investigated experimentally by the thermoreflectance method. The overlap of lattice vibrations within individual layers and the interlayer interactions, as elucidated through both Raman spectroscopy and molecular dynamics simulations, are demonstrated to be critical factors in ...
Bin Xu+6 more
wiley +1 more source
Calculation of steel corrosion rate of reinforced concrete slab based on rust expansion crack. [PDF]
Wu D, Zou Z, Wu H, Wan W, Zhao S, Cao J.
europepmc +1 more source
The MPTT‐nanozyme‐hydrogel system (Mn3O4@ChS‐HA) provides a multifunctional therapeutic strategy for intervertebral disc degeneration (IVDD), effectively targeting oxidative stress and enhancing AF repair by restoring extracellular matrix (ECM) and redox homeostasis.
Yangyang Chen+13 more
wiley +1 more source
Probability and rate of reinforcement in negative prediction error learning. [PDF]
Sanderson DJ+3 more
europepmc +1 more source
In this article, a water‐evaporation driven energy harvester is devised that works even in the absence of sunlight. This is achieved by combining PVA hydrogel with thermoelectrics (TEG) to directly capture energy from water evaporation. Under mild conditions (RH 40%, T of 26 °C, and 2.8 m s−1 wind), 1.71 mW (1.02 W m−2) power can be generated, >3 fold ...
Zichen Gong, Ady Suwardi, Jing Cao
wiley +1 more source
Optimization of a Coupled Neuron Model Based on Deep Reinforcement Learning and Application of the Model in Bearing Fault Diagnosis. [PDF]
Wang S+6 more
europepmc +1 more source
Self‐organized Criticality in Neuromorphic Nanowire Networks With Tunable and Local Dynamics
Memristive nanowire networks (NWNs) are shown to be electrically tunable to a critical state where specific local dynamics evaluated by multiterminal characterization are exploited as feature selection in nonlinear transformation (NLT) tasks.
Fabio Michieletti+3 more
wiley +1 more source