Escape learning and "vicious circle" behavior under partial and continuous reinforcement
Kenneth B. Melvin
openalex +2 more sources
Learning and memory is reflected in the responses of reinforcement- related neurons in the primate basal forebrain [PDF]
FA Wilson, Edmund T. Rolls
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Pan‐Variant SARS‐CoV‐2 Vaccines Induce Protective Immunity by Targeting Conserved Epitopes
An integrative approach identifies conserved B‐cell and T‐cell epitopes within SARS‐CoV‐2 proteins, redirecting immune responses from variable to conserved regions. These epitopes elicit robust humoral and cellular immunity, neutralizing diverse viral variants. Promiscuous T‐cell epitopes demonstrate cross‐species efficacy, highlighting their potential
Masaud Shah+5 more
wiley +1 more source
Domestic clustered networks and internationalization of agrifood SMEs
Abstract This paper examines how participating in domestic clustered networks in the agri‐food industry affects the export status and export intensity of small and medium‐sized enterprises (SMEs). The Uppsala internationalization process model has been revisited in light of the knowledge that these networks can contribute to promoting the presence of ...
Raul Serrano+5 more
wiley +1 more source
PENINGKATAN HASIL BELAJAR IPS MELALUI METODE SIMULASI DENGAN REINFORCEMENT DI SMPN 2 JETIS BANTUL
Penelitian ini bertujuan untuk meningkatkan aktivitas dan hasil belajar IPS di kelas IX C SMPN 2 Jetis Bantul setelah diterapkan metode simulasi dengan reinforcement.
Ratna Wulandari+1 more
doaj
A Multi‐Objective Molecular Generation Method Based on Pareto Algorithm and Monte Carlo Tree Search
Pareto Monte Carlo Tree Search Molecular Generation (PMMG), a molecular generation approach leveraging Monte Carlo Tree Search (MCTS) and Pareto algorithm, efficiently explores the Pareto front in high‐dimensional objective spaces for multi‐objective drug design.
Yifei Liu+12 more
wiley +1 more source
Effects of verbal reinforcement combinations on learning in preschool children
Takeshi Sugimura
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Effects of percentage of reinforcement and number of reinforcements in S+ on discrimination learning in the runway [PDF]
Steven J. Haggbloom, E. J. Capaldi
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scHeteroNet) is a novel graph neural network model that explicitly addresses heterophily in single‐cell sequencing data enabling accurate cell type annotation and novel cell type discovery. By leveraging heterophily‐aware message passing and novelty propagation mechanisms, scHeteroNet achieves superior performance in both cell annotation and detection ...
Jiacheng Liu+7 more
wiley +1 more source