Results 151 to 160 of about 5,876,040 (331)
Verbal learning and reinforcement: A reexamination of the Premack hypothesis [PDF]
, 1974 Robert W. Schaeffer, Robert J. Nolan
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Advanced Materials, EarlyView.This review gives a summary on the representative bioinspired single‐atomic‐site catalysts (SACs) and their applications in heterogeneous electrocatalysis and photocatalysis. The fundamentals of bioinspired design strategies are systematically discussed in the context of the first shell coordination, the second/long‐range coordination, and the outer ...
Ying Wang +4 more
wiley +1 more source
Fixed ratio schedule of reinforcement as a determinant of successive discrimination reversal learning in the pigeon [PDF]
, 1971 Ben A. Williams
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Performance‐Recoverable Closed‐Loop Neuroprosthetic System
Advanced Materials, EarlyView.A self‐healing and stretchable bilayer (SSB) electrode with spontaneous performance recovery consists of a nanomembrane (closely packed aligned Pt‐coated Ag nanowires embedded in the self‐healing polymer) and a nanocomposite (Pt‐coated Ag flakes in the self‐healing polymer).
Yewon Kim +11 more
wiley +1 more source
The intercalated reinforcement technique: Learning without differential total reinforcement between groups [PDF]
, 1973 Philip J. Bushnell +2 more
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Advanced Materials, EarlyView.Through a dual‐functionalization strategy, carbon quantum dots (CQD) with exceptional fluorescence properties are engineered. These CQD are integrated with graphitic carbon nitride to form a 2D/2D heterostructure via both covalent and non‐covalent modification.
Pegah Zandi +2 more
wiley +1 more source
Spin Engineering of Dual‐Atom Site Catalysts for Efficient Electrochemical Energy Conversion
Advanced Materials, EarlyView.This review highlights recent progress in spin engineering of dual‐atom site catalysts (DASCs), emphasizing how spin‐related properties enhance electrocatalytic activity, selectivity, and stability. It summarizes cutting‐edge developments in dual‐atom catalysis, discusses the underlying spin‐catalysis mechanisms and structure–performance relationships,
Dongping Xue +5 more
wiley +1 more source
Advanced Materials, EarlyView.This review explores the transformative role of AI in biosensor technology and provides a holistic interdisciplinary perspective that covers a broader scope of AI‐enabled biosensor technologies across various sectors including healthcare, environmental monitoring, food safety, and agriculture. It also highlights the important role of novel materials in
Tuğba Akkaş +4 more
wiley +1 more source
Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
Machine-mediated learning, 2004 Ronald J. Williams
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