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Articles by Lingjun Wang
A deep reinforcement learning framework for dynamic order and rack scheduling in robotic mobile fulfillment systems
Abstract Robotic mobile fulfillment systems play a vital role in modern e-commerce, but their efficiency depends on overcoming a critical challenge: coordinating orders and racks effectively under dynamic order arrivals, diverse delivery deadlines, and resource sharing among multiple stations. This paper tackles the resulting dynamic order and rack scheduling problem and proposes an intelligent scheduling framework centred on deep reinforcement learning.
Engineered immunosuppressive dendritic cells protect against cardiac remodelling
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Abstract Heart failure remains a leading cause of morbidity and mortality, yet no approved therapies effectively prevent or reverse pathological cardiac fibrosis and the associated decline in cardiac function1,2,3,4. Chronic inflammation is a central driver of pathological fibrosis after ischaemic or haemodynamic stress, but strategies that locally rebalance injurious and reparative immune responses without systemic immunosuppression are lacking5,6.
By Xiaoying Li, Jiamin Li, Guohua Li, Lisheng Zhu, Guo Cheng, Huanqiang Li, Hao Lin, Xiaoqian Hong, Ye Liu, Zhiwei Zhong, Yize Chen, Biqing Wang, Jing Zhao, Zhenqi Hua, Lingjun Wang, Qiming Chen, Peijie Zheng, Shuchang Ye, Mo Li, Shaohui Shi, Junhua He, Yan Wu, Yinghui Xu, Qi Chen, Huajun Li, Yu Zhang, Jianzhong Sun, Guanhua Hu, Chengchen Zhao, Yiping Dong, Lili Yu, Yang Xu, Xinyang Hu, Ningqing Jia, Shuyuan Sheng, Songting Gu, Changle Ke, Feimu Zhang, Minjian Kong
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Nature
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Economic and Social Benefits of Aquavoltaics: A Case Study from Jiangsu, China
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Population Structures and Dynamics of Rhododendron Communities with Different Stages of Succession in Northwest Guizhou, China
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
Computational Fluid Dynamics-Aided Simulation of Twisted Wind Flows in Boundary Layer Wind Tunnel
1. Introduction The wind field within the atmospheric boundary layer (ABL) is a crucial research topic because it plays an important role in the wind-resistant design of structures as well as the wind environment assessment. In most wind codes, the vertical wind profile below the gradient height, typically 200–500 m, is stipulated as follows: the wind speed increases with height following the (semi-)empirical logarithmic or power law, whilst the wind direction remains constant at all heights.
Identification and Functional Characterization of CYP4D2 Putatively Associated with β-Cypermethrin Detoxification in Phortica okadai
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