Knowledge Spillover, Trust, Effort, and Error Exposure in Peer‐Assisted Learning
Abstract Peer‐assisted learning has the potential to improve learning in academic settings and beyond. However, the cognitive and motivational mechanisms of learning through interaction with other learners are not fully understood. Here, we present an empirical study in which we compare a peer‐assisted learning condition with two individual learning ...
Ion Juvina +5 more
wiley +1 more source
High-Performance Perovskite Solar Cells and Modules via Slot-Die Coating: Engineering Advances, Photoluminescence Insights, and Future Perspectives. [PDF]
Peng L +6 more
europepmc +1 more source
Reading (in) the Room: Accessibility and Three Formats of Milton Readings
Milton Quarterly, EarlyView.
Michael Cop
wiley +1 more source
Superlative Objoid Constructions in British and American English
ABSTRACT This paper investigates regional variation in Superlative Objoid constructions (SOCs) and their prepositional variant (at‐SOCs). SOCs combine a possessive pronoun with a superlative adjective. These function as manner‐degree modifiers in a context where the possessive is in postverbal position and correlative with the subject, as in they tried
Tamara Bouso, Marianne Hundt
wiley +1 more source
A digital twin framework for urban parking management and mobility forecasting. [PDF]
Piccialli F +5 more
europepmc +1 more source
Abstract We propose the novel p‐branch‐and‐bound method for solving two‐stage stochastic programming problems whose deterministic equivalents are represented by non‐convex mixed‐integer quadratically constrained quadratic programming (MIQCQP) models. The precision of the solution generated by the p‐branch‐and‐bound method can be arbitrarily adjusted by
Nikita Belyak, Fabricio Oliveira
wiley +1 more source
Experimental and numerical research on crowd squeezing pressure of platform screen doors of rail transit. [PDF]
Xu W, Feng S, Xie R, Xing Y, He Y, Li Z.
europepmc +1 more source
A Survey for Deep Reinforcement Learning Based Network Intrusion Detection
This paper surveys deep reinforcement learning (DRL) for network intrusion detection, evaluating model efficiency, minority attack detection, and dataset imbalance. Findings show DRL achieves state‐of‐the‐art results on public datasets, sometimes surpassing traditional deep learning.
Wanrong Yang +3 more
wiley +1 more source
Comparative Evaluation of Bandit-Style Heuristic Policies for Moving Target Detection in a Linear Grid Environment. [PDF]
Kang H, Ahn M, Seo Y.
europepmc +1 more source
MobileLAMP: A low-cost, portable incubation device for isothermal nucleic acid amplification. [PDF]
Bhupathi M +3 more
europepmc +1 more source

