Results 141 to 150 of about 195,650 (335)

Research on multi-objective Green Permutation Flow Shop Scheduling Problem Method based on Deep Reinforcement Learning [PDF]

Yongxin Lu, Yiping Yuan, Shaohua Huang, Adilanmu Sitahong, Yongsheng Chao, Yunxuan Wang, Yi Li   +6 more
openalex   +1 more source

Improved Quality of Online Education Using Prioritized Multi-Agent Reinforcement Learning for Video Traffic Scheduling [PDF]

, 2023
Ioan-Sorin Comşa, Andreea Molnar, Irina Tal, Christof Imhof, Per Bergamin, Gabriel‐Miro Muntean, Cristina Hava Muntean, Ramona Trestian   +7 more
openalex   +1 more source

Ubiquitination‐Driven Reprogramming of Proteostasis in Metastasis

Advanced Science, EarlyView.
The DCAF12–TRiC/CCT axis is a key regulator of metastasis in cancer. By reprogramming proteostasis to ensure efficient protein folding, it drives progression through a dual mechanism: enhancing cancer cell motility and invasiveness while concurrently activating pro‐growth and survival pathways.
Dongping Wei, Jiayan Chen, Yaping Xu
wiley   +1 more source

CXC Chemokine‐Driven Vascular Reprogramming: Modulating Tumor Vasculature to Boost Therapeutic Response

Advanced Science, EarlyView.
Tumor vascular remodeling is discussed from a chemokine‐centered perspective. This review summarizes the bidirectional, temporal, and tissue‐specific roles of CXC chemokines in regulating vascular function and immune accessibility. A functional vascular normalization score is introduced as a conceptual framework to integrate dynamic vascular and immune
Hongdan Chen, Yinde Huang, Juntong Wu, Ziying Yi, Yao Li, Zeyu Yang, Fan Zhang, Chong Li   +7 more
wiley   +1 more source

Evaluating competing activities to enhance functional communication training during reinforcement schedule thinning. [PDF]

J Appl Behav Anal, 2018
Fuhrman AM, Greer BD, Zangrillo AN, Fisher WW.   +3 more
europepmc   +1 more source

Dynamic Scheduling for Multi-Objective Flexible Job Shops with Machine Breakdown by Deep Reinforcement Learning [PDF]

Rui Wu, Jianxin Zheng, Xiyan Yin
openalex   +1 more source

Aqueous Zinc‐Based Batteries: Active Materials, Device Design, and Future Perspectives

Advanced Energy Materials, EarlyView.
This review conducts a comprehensive analysis of aqueous zinc‐based batteries (AZBs) based on their intrinsic mechanisms, including redox reactions, ion intercalation reactions, alloying reactions, electrochemical double‐layer reactions, and mixed mechanisms, systematically discussing recent advancements in each type of AZBs.
Yan Ran, Fang Dong, Shuhui Sun, Yong Lei
wiley   +1 more source

Reinforcement Learning based Intelligent System for Personalized Exam Schedule [PDF]

Annals of computer science and information systems
Marco Barone, Matteo Ciaschi, Zaib Ullah, Armando Piccardi   +3 more
doaj   +1 more source

Cortical Vision Impairment (CVI)-informed assessment and treatment of challenging behavior in a child with SCN2A-related disorder

Journal of Neurodevelopmental Disorders
This report presents results of parent-implemented behavioral treatments for a child with cortical visual impairment (CVI), intellectual disability (ID), epilepsy, and autism spectrum disorder (ASD) associated with a pathogenic variant in the SCN2A gene (
Benjamin R. Thomas, Natasha N. Ludwig, Danielle Pelletier, Melanie Bauer, Rebecca Hommer, Constance Smith-Hicks, Julia T. O’Connor   +6 more
doaj   +1 more source

Multi Workflow Fair Scheduling Scheme Research Based on Reinforcement Learning

, 2019
Ji Hai Zhong, Delong Cui, Zhi Ping Peng, Qi Rui Li, Jie Guang He   +4 more
openalex   +1 more source