Results 171 to 180 of about 195,650 (335)

Updated Recommendations for Reinforcement Schedule Thinning following Functional Communication Training. [PDF]

Behav Anal Pract
Kranak MP, Brown KR.
europepmc   +1 more source

KEY PECKING OF PIGEONS UNDER VARIABLE‐INTERVAL SCHEDULES OF BRIEFLY SIGNALED DELAYED REINFORCEMENT: EFFECTS OF VARIABLE‐INTERVAL VALUE

, 1992
David W. Schaal, Kory Schuh, Marc N. Branch   +2 more
openalex   +2 more sources

Association of HAMP Expression and CD8+ T‐Cell Infiltration With Atezolizumab–Bevacizumab Response in Hepatocellular Carcinoma

Annals of Gastroenterological Surgery, EarlyView.
In hepatocellular carcinoma treated with atezolizumab–bevacizumab, responders showed RNA‐seq enrichment of immune and chemokine pathways with higher HAMP expression. In resected specimens, immunohistochemistry confirmed increased intratumoral CD8+ T‐cell density and hepcidin (HAMP), supporting HAMP plus CD8 as components of a composite predictor of ...
Shun Nakamura, Yuki Murakami, Yusuke Oshima, Takashi Masuda, Wataru Miyoshino, Hiroomi Takayama, Yoko Kawano, Teijiro Hirashita, Yuichi Endo, Masafumi Inomata   +9 more
wiley   +1 more source

Internet of Things‐Based Framework Application at a University Campus Scale: Linking Smart Monitoring Systems and Stormwater Management

Advanced Intelligent Discovery, EarlyView.
This study presents an Internet of Things‐based stormwater monitoring framework piloted at the University of Maryland campus to support Municipal Separate Stormwater Sewer System compliance and adaptive planning. Developed with key campus stakeholders, the framework integrates real‐time sensor deployment, data‐informed insights on runoff and water ...
Qianyao Si, Priscila B. R. Alves, Mitchell A. Pavao‐Zuckerman, Allen P. Davis, Tara Burke, Bryan S. Quinn, Elizabeth M. Bonsignore, Jennifer A. Cotting, Jason Baer, Kaitlyn Peterson, Pierre Gaunaurd, Tamara L. Clegg, David Loshin, Andrew M. Fellows, Taylor Keen, Gerrit J. Knaap, Marccus D. Hendricks   +16 more
wiley   +1 more source

Reinforcement Learning for Adaptive Resource Scheduling in Complex System Environments [PDF]

Pochun Li, Yang Xiao, Jinghua Yan, Xuan Li, Xiaoye Wang   +4 more
openalex   +1 more source

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

Advanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

A Risk-Aware Lng Terminal Scheduling Digital Twin Based on Deep Reinforcement Learning

Yaping Hong, Jinglin Wang, Chao Peng, Jinsong Zhao   +3 more
openalex   +1 more source

Limitations of Foundation Models in Energy Materials Simulations: A Case Study in Polyanion Sodium Cathode Materials

Advanced Intelligent Discovery, EarlyView.
Several simulation techniques are used to explore static and dynamic behavior in polyanion sodium cathode materials. The study reveals that universal machine learning interatomic potentials (MLIPs) struggle with system‐specific chemistry, emphasizing the need for tailored datasets.
Martin Hoffmann Petersen, Chiku Parida, Jonas Busk, Jin Hyun Chang, Arghya Bhowmik, Juan Maria Garcia Lastra   +5 more
wiley   +1 more source

A Machine Learning Model for Interpretable PECVD Deposition Rate Prediction

Advanced Intelligent Discovery, EarlyView.
This study develops six machine learning models (k‐nearest neighbors, support vector regression, decision tree, random forest, CatBoost, and backpropagation neural network) to predict SiNx deposition rates in plasma‐enhanced chemical vapor deposition using hybrid production and simulation data.
Yuxuan Zhai, Wenrui Wang, Rui Chen, Tong Yu, Xiaojuan Zheng, Hua Shao, Dashan Shang, Ling Li, Lado Filipovic   +8 more
wiley   +1 more source

Reinstatement and a resurgence-like effect in an odor-signaled multiple schedule in rats. [PDF]

J Exp Anal Behav
Mason MG, Accattato S, Barba R, Bruce S, Murphy S, Richardson EJ, Bruce K, Galizio M.   +7 more
europepmc   +1 more source