The Effects of Tootling on Complimenting and Peer Prompting in Second‐Grade Students
ABSTRACT Tootling interventions can enhance students' social skill performance outside the social skill training environment. With Tootling interventions, group‐oriented rewards are delivered contingent upon the number of reports students provide of their peers' engagement in prosocial behavior(s).
Carsyn E. Poppe +5 more
wiley +1 more source
Artificial Intelligence Techniques in Cardiac Neuromodulation: Mechanisms, Applications, and Pathways to Clinical Translation. [PDF]
Pandey K, Pandey P, Khanal S, Panday A.
europepmc +1 more source
This review integrates clinical, immunological, genetic, and multi‐omic evidence, highlighting dynamic inflammatory and adenosine‐pathway biomarkers and reinforcing treat‐to‐target principles as the most actionable framework for personalized methotrexate therapy.
Joana Ramos Rodrigues +6 more
wiley +1 more source
A hierarchical navigation decision-making method for UAV swarms in unknown communication-constrained environments. [PDF]
Xiong H, Yu B, Zhang J, Dong H.
europepmc +1 more source
Contemporary Concise Review 2025: Interstitial Lung Disease
ABSTRACT Multidisciplinary discussion remains the cornerstone of ILD diagnosis and management, with recent advances further strengthening the integration of clinical, radiological, pathological, and molecular information. Updated ILD nomenclature and classification better align disease terminology with underlying morphology and pathobiology.
Tonia Magrì, Luca Richeldi
wiley +1 more source
Equity-Preserving Public Health Resource Allocation Using Multi-Objective Safe Reinforcement Learning: Evidence from Thailand. [PDF]
Songserm N +9 more
europepmc +1 more source
The role of identification in data‐driven policy iteration: A system theoretic study
Abstract The goal of this article is to study fundamental mechanisms behind so‐called indirect and direct data‐driven control for unknown systems. Specifically, we consider policy iteration applied to the linear quadratic regulator problem. Two iterative procedures, where data collected from the system are repeatedly used to compute new estimates of ...
Bowen Song, Andrea Iannelli
wiley +1 more source
Decision tree and reinforcement learning for contextual electricity consumption forecasting in buildings. [PDF]
Ramos D, Faria P, Campos P, Vale Z.
europepmc +1 more source
Deep Reinforcement Learning‐Based Control for Real‐Time Hybrid Simulation of Civil Structures
ABSTRACT Real‐time Hybrid Simulation (RTHS) is a cyber‐physical technique that studies the dynamic behavior of a system by combining physical and numerical components that are coupled through a boundary condition enforcer. In structural engineering, the numerical components are subjected to environmental loads that become dynamic displacements of the ...
Andrés Felipe Niño +6 more
wiley +1 more source
Discovering algorithms with computational language processing. [PDF]
Bourdais T +3 more
europepmc +1 more source

