Zobrazeno 1 - 10
of 518
pro vyhledávání: '"XuDong Ma"'
Publikováno v:
Carbon Neutrality, Vol 3, Iss 1, Pp 1-20 (2024)
Abstract Steam generating heat pump (SGHP) is a key technology for industrial decarbonization. For comprehensive evaluation of the feasibility and reliability of SGHP in different industrial sector, the work develops a thorough evaluation model for a
Externí odkaz:
https://doaj.org/article/148dbe042802418e9260949b1abc134e
Autor:
Fuping Guo, Xudong Ma, Qijun Shan, Yuelun Zhang, Sifa Gao, Jieqin Chen, Yujie Chen, Dawei Liu, Taisheng Li, Feng Zhang, Xiang Zhou
Publikováno v:
iScience, Vol 27, Iss 12, Pp 111420- (2024)
Summary: There is limited statistical data on severe hepatitis among hospitalized children in China at a national level. This nationwide study analyzed data from 34,410 children hospitalized for severe hepatitis in mainland China from 2016 to 2022. T
Externí odkaz:
https://doaj.org/article/b4ef15487e8d424b888d8f1e549c71d0
Publikováno v:
Case Studies in Thermal Engineering, Vol 63, Iss , Pp 105351- (2024)
Steam generating heat pumps (SGHPs) offer a promising alternative to coal-fired boilers. To address the lack of general optimization strategy of autocascade SGHP (ASGHP) for variable operating conditions and variable cycle configurations, this paper
Externí odkaz:
https://doaj.org/article/9e09bcb268a440948b7ec91cf7aebe24
Publikováno v:
Frontiers in Energy Research, Vol 12 (2024)
IntroductionThis study addresses the challenge of active power (AP) balance control in wind-photovoltaic-storage (WPS) power systems, particularly in regions with a high proportion of renewable energy (RE) units. The goal is to effectively manage the
Externí odkaz:
https://doaj.org/article/df342f1748bb4df89acf374b3f60300e
Autor:
Lu Wang, Xudong Ma, Guanghua Zhou, Sifa Gao, Wei Pan, Jieqing Chen, Longxiang Su, Huaiwu He, Yun Long, Zhi Yin, Ting Shu, Xiang Zhou, China National Critical Care Quality Control Centre Group (China-NCCQC)
Publikováno v:
European Journal of Medical Research, Vol 29, Iss 1, Pp 1-9 (2024)
Abstract Purpose Sepsis is a global public health burden. The sequential organ failure assessment (SOFA) is the most commonly used scoring system for diagnosing sepsis and assessing severity. Due to the widespread use of endotracheal intubation and s
Externí odkaz:
https://doaj.org/article/203652c5bd8d4d63b33fee4e0e84b4d7
Autor:
Huijie Yu, Xudong Ma, Meijun Pang, Xuehai Fan, Yan Xing, Kuo Zhang, Ningnannan Zhang, Cai Li, Kai Yu, Xiuyun Liu
Publikováno v:
Brain-X, Vol 2, Iss 3, Pp n/a-n/a (2024)
Externí odkaz:
https://doaj.org/article/796dc6a03430413a8b709f139903ee79
Publikováno v:
Journal of Ovarian Research, Vol 17, Iss 1, Pp 1-14 (2024)
Abstract Background Ovarian cancer (OC) is a severe gynecological malignancy with significant diagnostic and therapeutic challenges. The discovery of reliable cancer biomarkers can be used to adjust diagnosis and improve patient care. However, serous
Externí odkaz:
https://doaj.org/article/02a91a46c21a410690ee16ce5c7fdf83
Autor:
Cheng Qi, Xudong Ma, Qi Zeng, Zhangwei Huang, Shanshan Zhang, Xiaokang Deng, Tiantian Kong, Zhou Liu
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-9 (2024)
Abstract Hierarchical compartmentalization, a hallmark of both primitive and modern cells, enables the concentration and isolation of biomolecules, and facilitates spatial organization of biochemical reactions. Coacervate-based compartments can seque
Externí odkaz:
https://doaj.org/article/d84584f5475a4b02b297495fa6448424
Autor:
Lu Wang, Xudong Ma, Yujie Chen, Sifa Gao, Wei Pan, Jieqing Chen, Longxiang Su, Huaiwu He, Yun Long, Chang Yin, Xiang Zhou, On Behalf of China National Critical Care Quality Control Centre Group (China-NCCQC)
Publikováno v:
Thrombosis Journal, Vol 22, Iss 1, Pp 1-8 (2024)
Abstract Introduction Sepsis is a global public health burden. Deep vein thrombosis (DVT) is the third most common cause of death from cardiovascular disease after heart attacks and strokes. We designed this experiment to investigate the factors infl
Externí odkaz:
https://doaj.org/article/955407f66f1a4af5a0e91d7667ceaebd
Autor:
Yujie Chen, Yao Wang, Jieqing Chen, Xudong Ma, Longxiang Su, Yuna Wei, Linfeng Li, Dandan Ma, Feng Zhang, Wen Zhu, Xiaoyang Meng, Guoqiang Sun, Lian Ma, Huizhen Jiang, Chang Yin, Taisheng Li, Xiang Zhou
Publikováno v:
Infectious Disease Modelling, Vol 8, Iss 4, Pp 1097-1107 (2023)
Purpose: To establish dynamic prediction models by machine learning using daily multidimensional data for coronavirus disease 2019 (COVID-19) patients. Methods: Hospitalized COVID-19 patients at Peking Union Medical College Hospital from Nov 2nd, 202
Externí odkaz:
https://doaj.org/article/83bb1e9229d249e2b00158ed2c54c9a3