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Akademický článek

Hierarchical Reinforcement Learning for Autonomous Decision Making and Motion Planning of Intelligent Vehicles

Autor: Yang Lu, Xin Xu, Xinglong Zhang, Lilin Qian, Xing Zhou

Publikováno v: IEEE Access, Vol 8, Pp 209776-209789 (2020)

Autonomous decision making and motion planning in complex dynamic traffic environments, such as left-turn without traffic signals and multi-lane merging from side-ways, are still challenging tasks for intelligent vehicles. It is difficult to generate

Externí odkaz: https://doaj.org/article/8404eb1734fd4f2fbe9ef3abc6709b17

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Akademický článek

ent-Kaurane diterpenoids induce apoptosis and ferroptosis through targeting redox resetting to overcome cisplatin resistance

Autor: Yong Sun, Yanan Qiao, Yue Liu, Jinchuan Zhou, Xue Wang, Hongbo Zheng, Zejun Xu, Jiaozhen Zhang, Yi Zhou, Lilin Qian, Chunyang Zhang, Hongxiang Lou

Publikováno v: Redox Biology, Vol 43, Iss , Pp 101977- (2021)

Reactive oxygen species (ROS) induction is an effective mechanism to kill cancer cells for many chemotherapeutics, while resettled redox homeostasis induced by the anticancer drugs will promote cancer chemoresistance. Natural ent-kaurane diterpenoids

Externí odkaz: https://doaj.org/article/8af81d5973d54a3fb2db77ee4b2fd9e6

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Akademický článek

Inactivation of TFEB and NF-κB by marchantin M alleviates the chemotherapy-driven pro-tumorigenic senescent secretion

Autor: Huanmin Niu, Lilin Qian, Bin Sun, Wenjian Liu, Fang Wang, Qian Wang, Xiaotian Ji, Yanhai Luo, Effat Un Nesa, Hongxiang Lou, Huiqing Yuan

Publikováno v: Acta Pharmaceutica Sinica B, Vol 9, Iss 5, Pp 923-936 (2019)

It is critical to regulate the senescence-associated secretory phenotype (SASP) due to its effect on promoting malignant phenotypes and limiting the efficiency of cancer therapy. In this study, we demonstrated that marchantin M (Mar-M, a naturally oc

Externí odkaz: https://doaj.org/article/80338043576e4a02951a3367a67a3331

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Akademický článek

Evolutionary Hierarchical Sparse Extreme Learning Autoencoder Network for Object Recognition

Autor: Yujun Zeng, Lilin Qian, Junkai Ren

Publikováno v: Symmetry, Vol 10, Iss 10, p 474 (2018)

Extreme learning machine (ELM), characterized by its fast learning efficiency and great generalization ability, has been applied to various object recognition tasks. When extended to the stacked autoencoder network, which is a typical symmetrical rep

Externí odkaz: https://doaj.org/article/8418717c9bd54ea6b77c58b56d7c29b8

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