Zobrazeno 1 - 10
of 133
pro vyhledávání: '"Pengfei Qin"'
Publikováno v:
Engineering, Vol 39, Iss , Pp 84-93 (2024)
In this paper, we propose mesoscience-guided deep learning (MGDL), a deep learning modeling approach guided by mesoscience, to study complex systems. When establishing sample dataset based on the same system evolution data, different from the operati
Externí odkaz:
https://doaj.org/article/71a4a36bf4604815a2bce3ae0fb146b3
Publikováno v:
PeerJ, Vol 12, p e18194 (2024)
Background Polycystic ovary syndrome (PCOS) is the most common metabolic disorder and reproductive endocrine disease, posing an elevated risk to women of reproductive age. Although metabolism differences in serum, amniotic fluid and urine have been d
Externí odkaz:
https://doaj.org/article/df52a3bd1b374f47931edb6f9ae8d018
Autor:
Pengfei QIN, Hongwei ZHONG
Publikováno v:
Chengshi guidao jiaotong yanjiu, Vol 27, Iss 3, Pp 30-36 (2024)
[Objective] In the process of grouting in metro tunnel, there exists dynamic coupling effect between sand stress field and slurry flow field. In order to improve the design level of metro tunnel sand grouting, it is necessary to study the mechanism o
Externí odkaz:
https://doaj.org/article/0893909670614dcf9cbab53742625475
Publikováno v:
Energy Strategy Reviews, Vol 54, Iss , Pp 101475- (2024)
China has become a major global power due to its rapid economic growth, which is being driven by resource-intensive industries but at a considerable environmental cost. This study investigates the intricate relationships that exist between China's mi
Externí odkaz:
https://doaj.org/article/01de026ed63048b4a5fd48ea0ed9a004
Autor:
Letong Cai, Wenpu Lai, Danlin Yao, Yinfeng Gu, Chaofeng Liang, Lian Liu, Jing Lai, Zhi Yu, Xianfeng Zha, Xibao Yu, Xiuli Wu, Shaohua Chen, Oscar Junhong Luo, Yangqiu Li, Chunyan Wang, Pengfei Qin, Xin Huang, Ling Xu
Publikováno v:
Blood Science, Vol 6, Iss 3, p e00194 (2024)
Tissue-resident memory T (TRM) cells infiltrating solid tumors could influence tumor progression and the response to immune therapies. However, the proportion and prognostic value of TRM cells in the bone marrow (BM) of patients with acute myeloid le
Externí odkaz:
https://doaj.org/article/d300d769922143ca97253538e7515d90
Publikováno v:
Meikuang Anquan, Vol 55, Iss 2, Pp 55-61 (2024)
In order to reveal the propagation law of coal and gas outburst impact airflow, the distribution laws of velocity field, pressure field, impact force field, concentration field of impact airflow in the process of coal and gas outburst are simulated b
Externí odkaz:
https://doaj.org/article/859051eab455404695ffcdfca747e874
Autor:
Guozhong Xiao, Yihui Zheng, Huaxian Chen, Minyi Luo, Chaoxin Yang, Donglin Ren, Pengfei Qin, Heng Zhang, Hongcheng Lin
Publikováno v:
Journal of Translational Medicine, Vol 22, Iss 1, Pp 1-21 (2024)
Abstract Background Overweight and obesity are established risk factors for various types of cancers including colorectal cancer (CRC). However the underlying molecular mechanisms remain unclear. An in-depth understanding of the oncologic characteris
Externí odkaz:
https://doaj.org/article/2972979d45144daea593c7a0941d8072
Publikováno v:
BMC Medicine, Vol 21, Iss 1, Pp 1-11 (2023)
Abstract Background The association between the vaginal microbiome and polycystic ovary syndrome (PCOS) is reported, but the longitudinal changes in the vaginal microbiome that accompany oral contraceptive therapy have not been described. Methods Thi
Externí odkaz:
https://doaj.org/article/f38fa09157be4dd3b1500b890ca4043d
Publikováno v:
Frontiers in Microbiology, Vol 15 (2024)
BackgroundThe dysbiosis of gut microbiota (GM) is considered a contributing factor to prostatitis, yet the causality remains incompletely understood.MethodsThe genome-wide association study (GWAS) data for GM and prostatitis were sourced from MiBioGe
Externí odkaz:
https://doaj.org/article/1f43cc1cb1414a19be39337b6ef0a6c0
Publikováno v:
Applied Sciences, Vol 14, Iss 14, p 6019 (2024)
This paper presents a traffic demand prediction method based on deep learning algorithms, aiming to address the dynamic traffic demands in satellite communication and enhance resource management efficiency. Integrating Seq2Seq and LSTM networks, the
Externí odkaz:
https://doaj.org/article/d35bb2e45a7e4abb8dc5fd83fdbb66ea