Results 161 to 170 of about 5,876,040 (331)
Advanced Materials, EarlyView.High‐entropy materials (HEMs), typically composed of five or more principal elements in near‐equimolar ratios, offer significant potential due to their unique properties. This review outlines the emergence and structural evolution of HEMs, followed by an in‐depth discussion of the elemental roles (active sites, promoters, or stabilizers) for water ...
Yufei Zhao +9 more
wiley +1 more source
ERRORLESS LEARNING: REINFORCEMENT CONTINGENCIES AND STIMULUS CONTROL TRANSFER IN DELAYED PROMPTING [PDF]
, 1984 Paul E. Touchette, Jane S. Howard
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Detachable and Reusable: Reinforced π‐Ion Film for Modular Synaptic Reservoir Computing
Advanced Materials, EarlyView.This study presents a reinforced π‐ion film for organic electrochemical transistors (OECTs), addressing the rapid degradation of organic semiconductor layers. By introducing a mesh support and utilizing a scalable solvent exchange method, the π‐ion film enhances detachability and stability.
Gyu Won Woo +8 more
wiley +1 more source
Escape learning and "vicious circle" behavior under partial and continuous reinforcement
, 1963 Kenneth B. Melvin
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Response sequence learning as a function of primary versus conditioned reinforcement [PDF]
, 1988 S. J. Luck +2 more
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Advanced Materials Technologies, Volume 10, Issue 6, March 18, 2025.This article demonstrates that encasing a hyperelastic balloon in an inextensible sleeve greatly increases its burst pressure. This simple mechanical behavior can be used to produce an asymmetric inflation‐deflation sequence for coupled balloons with different thicknesses so they could serve as a soft robot's rear and front anchors when driven from a ...
Ifat Gertler, Katherine J. Kuchenbecker
wiley +1 more source
Effects of percentage of reinforcement and number of reinforcements in S+ on discrimination learning in the runway [PDF]
, 1992 Steven J. Haggbloom, E. J. Capaldi
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Advanced Materials Technologies, Volume 10, Issue 6, March 18, 2025.The given research presents an innovative insole‐based device employing self‐powered triboelectric nanogenerators (TENG) for flatfoot detection. By integrating TENG tactile sensors within an insole, the device converts mechanical energy from foot movements to electrical signals analyzed via machine learning, achieving an 82% accuracy rate in flatfoot ...
Moldir Issabek +7 more
wiley +1 more source
Effects of verbal reinforcement combinations on learning in preschool children
, 1966 Takeshi Sugimura
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Learning and memory is reflected in the responses of reinforcement- related neurons in the primate basal forebrain [PDF]
, 1990 FA Wilson, Edmund T. Rolls
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