Zobrazeno 1 - 10
of 1 714
pro vyhledávání: '"Wenwu Zhu"'
Autor:
Jun Wei, Dabei Cai, Tingting Xiao, Qianwen Chen, Wenwu Zhu, Qingqing Gu, Yu Wang, Qingjie Wang, Xin Chen, Shenglin Ge, Ling Sun
Publikováno v:
Heliyon, Vol 10, Iss 16, Pp e36051- (2024)
Objective: This study aimed to develop and validate several artificial intelligence (AI) models to identify acute myocardial infarction (AMI) patients at an increased risk of acute kidney injury (AKI) during hospitalization. Methods: Included were pa
Externí odkaz:
https://doaj.org/article/1ed5f576bb6c4ec98ebcaa573e59d5ab
Publikováno v:
Actuators, Vol 13, Iss 10, p 399 (2024)
This paper proposes a path planning and tracking control algorithm for multi-autonomous mobile robot (multi-AMR) systems that addresses the challenges posed by AMRs with a kinematic model. The proposed path planning algorithm is divided into two laye
Externí odkaz:
https://doaj.org/article/0ec041ea66174c709caace56bbbf7a99
Autor:
Wenwu Zhu, Qingjie Wang, Jian Zhang, Ling Sun, Xiu Hong, Wei Du, Rui Duan, Jianguang Jiang, Yuan Ji, Haoran Wang, Bing Han
Publikováno v:
Biomaterials Research, Vol 27, Iss 1, Pp 1-15 (2023)
Abstract Aims Exosomes are known as nanovesicles that are naturally secreted, playing an essential role in stem-mediated cardioprotection. This study mainly focused on investigating if exosomes derived from miR-214 overexpressing mesenchymal stem cel
Externí odkaz:
https://doaj.org/article/7ff915cb85a842fda50804799b74394d
Autor:
Yang Liao, Jing Zhao, Jiyong Bian, Ziwei Zhang, Siqi Xu, Yijian Qin, Shiyu Miao, Rui Li, Ruiping Liu, Meng Zhang, Wenwu Zhu, Huijuan Liu, Jiuhui Qu
Publikováno v:
iMeta, Vol 3, Iss 1, Pp n/a-n/a (2024)
Abstract Regulation on denitrifying microbiomes is crucial for sustainable industrial biotechnology and ecological nitrogen cycling. The holistic genetic profiles of microbiomes can be provided by meta‐omics. However, precise decryption and further
Externí odkaz:
https://doaj.org/article/44a26d53eda545f1a6520a10615fbdbd
Autor:
Ling Sun, Wenwu Zhu, Yuan Ji, Ailin Zou, Lipeng Mao, Boyu Chi, Jianguang Jiang, Xuejun Zhou, Qingjie Wang, Fengxiang Zhang
Publikováno v:
Endocrine Connections, Vol 11, Iss 7, Pp 1-9 (2022)
Objective: Post-treatment contrast-induced acute kidney injury (CI-AKI) is associated with poor outcomes in patients with acute myocardial infarction (AMI). A lower free triiodothyronine (FT3) level predicts a poor prognosis of AMI patients. This stu
Externí odkaz:
https://doaj.org/article/6b3aff3d88d842d8ae9955384d423e40
Publikováno v:
Actuators, Vol 12, Iss 12, p 441 (2023)
This paper aims to introduce robot technology to carry out the safety inspection of transmission towers in long-distance power transmission, so as to improve the safety and efficiency of inspection. However, aiming at the problem that the existing cl
Externí odkaz:
https://doaj.org/article/2d36661c2248438ba4660f67d0d4e0bc
Publikováno v:
Applied Sciences, Vol 13, Iss 20, p 11398 (2023)
With the continuous emergence of the concept of 6G, the rapid development of industrial application scenarios, and the rise in demand for dedicated line services, there has been a strong and diverse demand for network capacity. The introduction of fi
Externí odkaz:
https://doaj.org/article/7584afb64e3d48b09c8b1686d101b58d
Publikováno v:
AI Open, Vol 3, Iss , Pp 58-70 (2022)
Conventional machine learning (ML) relies heavily on manual design from machine learning experts to decide learning tasks, data, models, optimization algorithms, and evaluation metrics, which is labor-intensive, time-consuming, and cannot learn auton
Externí odkaz:
https://doaj.org/article/f270a6130d1642d8af0d838a691c42de
Publikováno v:
SIAM Journal on Control & Optimization; 2024, Vol. 62 Issue 3, p1717-1736, 20p
Publikováno v:
Sensors, Vol 23, Iss 13, p 6214 (2023)
An improved Dijkstra algorithm based on adaptive resolution grid (ARG) is proposed to assist manual transmission line planning, shorten the construction period and achieve lower cost and higher efficiency of line selection. Firstly, the semantic segm
Externí odkaz:
https://doaj.org/article/b76a3c55665c49999eb202b8f16c27b5