Results 201 to 210 of about 196,068 (330)

The role of polysubstance use in the development, maintenance, and treatment of stimulant use disorders. [PDF]

Pharmacol Rev
Rough MI, Nader MA.
europepmc   +1 more source

Patterns of responding in conditioned reinforcement schedules superimposed on primary reinforcement schedules [PDF]

, 1971
Donald W. Zimmerman
openalex   +1 more source

Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook

Advanced Intelligent Discovery, EarlyView.
Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang, Xinyi Chen, Xu Ye, Yulin Yang, Bin Ai   +4 more
wiley   +1 more source

Deep learning optimization of teaching schedules in sports dance education. [PDF]

Sci Rep
Zhao G, Gu X, Du X, Yang Z.
europepmc   +1 more source

A Physics Constrained Machine Learning Pipeline for Young's Modulus Prediction in Multimaterial Hyperelastic Cylinders Guided by Contact Mechanics

Advanced Intelligent Discovery, EarlyView.
A physics‐guided machine learning framework estimates Young's modulus in multilayered multimaterial hyperelastic cylinders using contact mechanics. A semiempirical stiffness law is embedded into a custom neural network, ensuring physically consistent predictions. Validation against experimental and numerical data on C.
Christoforos Rekatsinas, Panagiotis Krokidas, Vasileios Vavourakis, Clara Essmann, George Giannakopoulos   +4 more
wiley   +1 more source

AF-CuRL: Stable Reinforcement Learning for Resource-Constrained Long-Form Reasoning in Edge-Intelligent Systems. [PDF]

Sensors (Basel)
Yan Z, Wang Y, Yue Q, Wang X.
europepmc   +1 more source

The interaction of deprivation and delay of reinforcement under a fixed-ratio schedule of responding [PDF]

, 1975
Larry D. Hilgert, Gary F. Meunier
openalex   +1 more source

Harnessing Machine Learning to Understand and Design Disordered Solids

Advanced Intelligent Discovery, EarlyView.
This review maps the dynamic evolution of machine learning in disordered solids, from structural representations to generative modeling. It explores how deep learning and model explainability transform property prediction into profound physical insight.
Muchen Wang, Yue Fan
wiley   +1 more source

Large Language Model‐Based Chatbots in Higher Education

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
The use of large language models (LLMs) in higher education can facilitate personalized learning experiences, advance asynchronized learning, and support instructors, students, and researchers across diverse fields. The development of regulations and guidelines that address ethical and legal issues is essential to ensure safe and responsible adaptation
Defne Yigci, Merve Eryilmaz, Ail K. Yetisen, Savas Tasoglu, Aydogan Ozcan   +4 more
wiley   +1 more source

The Novel Progressive Ratio with Reset Task Reveals Adaptive Effort-Delay Trade-Offs. [PDF]

eNeuro
Edelstein GA.
europepmc   +1 more source