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Akademický článek

Inhibition of miR-34a reduces inflammatory response in acute exacerbation of chronic obstructive pulmonary disease

Autor: DU Jingyu, YING Zhanzhuan, HOU Bin, DUO Jie, ZHAO Zhen

Publikováno v: Jichu yixue yu linchuang, Vol 44, Iss 12, Pp 1670-1677 (2024)

Objective To observe the expression levels and related mechanisms of miR-34a and its inflammatory-related factors in broncho-alveolar lavage fluid of patients with acute exacerbation of chronic obstructive pulmonary disease (AECOPD). Methods Totally

Externí odkaz: https://doaj.org/article/5b9eafe34b0c4d5f9078e5de01604165

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Target-point Attention Transformer: A novel trajectory predict network for end-to-end autonomous driving

Autor: Du, Jingyu, Zhao, Yang, Cheng, Hong

In the field of autonomous driving, there have been many excellent perception models for object detection, semantic segmentation, and other tasks, but how can we effectively use the perception models for vehicle planning? Traditional autonomous vehic

Externí odkaz: http://arxiv.org/abs/2308.01496

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Modeling realistic multiphase flows using a non-orthogonal multiple-relaxation-time lattice Boltzmann method

Autor: Fei, Linlin, Du, Jingyu, Luo, Kai H., Succi, Sauro, Lauricella, Marco, Montessori, Andrea, Wang, Qian

Publikováno v: Physics of Fluids 31, 042105 (2019)

In this paper, we develop a three-dimensional multiple-relaxation-time lattice Boltzmann method (MRT-LBM) based on a set of non-orthogonal basis vectors. Compared with the classical MRT-LBM based on a set of orthogonal basis vectors, the present non-

Externí odkaz: http://arxiv.org/abs/2306.16274

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