Zobrazeno 1 - 10
of 450
pro vyhledávání: '"Dandan Ma"'
Autor:
Junjie Qian, Dandan Ma, Xiaoling Zhou, Huoming Liao, Qingliang Shan, Shaohua Wang, Yongqing Wang, Xiaojun Zeng
Publikováno v:
Journal of Advanced Ceramics, Vol 13, Iss 9, Pp 1394-1408 (2024)
SiOC-based ceramics are considered promising electromagnetic wave-absorbing materials because of their lightweight, high-temperature resistance, and heat insulation properties. Herein, SiOC@C ceramic nanospheres were prepared using a liquid-phase met
Externí odkaz:
https://doaj.org/article/b5d104992d1846ac9d455d521f6cc6a8
Publikováno v:
BMC Oral Health, Vol 24, Iss 1, Pp 1-11 (2024)
Abstract Background Tyrosine-rich amelogenin peptide (TRAP) is the main amelogenin digestion product in the developmental enamel matrix. It has been shown to promote remineralization of demineralized enamel in our previous study. However, direct evid
Externí odkaz:
https://doaj.org/article/3b5aa5950df24a68b9c94e45032e3018
Publikováno v:
Journal of Materials Research and Technology, Vol 32, Iss , Pp 1820-1831 (2024)
In this study, CrNiTiMo high-entropy alloys films were prepared on 304 stainless steel and silicon wafer substrates by direct current magnetron sputtering and the effects of bias voltages (0 to −200 V) on microstructure, chemical composition, hardn
Externí odkaz:
https://doaj.org/article/93bbc772b9ce42ada67b8246181f9cb6
Publikováno v:
Electronic Journal of Qualitative Theory of Differential Equations, Vol 2024, Iss 37, Pp 1-15 (2024)
In this paper, we study a hydrodynamic system modeling the evolution of a plasma subject to a self-induced electromagnetic Lorentz force in incompressible viscous fluids. The system consists of the Navier–Stokes equations coupled with a Maxwell equ
Externí odkaz:
https://doaj.org/article/90ff1757fb2240c1bc457b394ad45ead
Autor:
Cheng Wang, Long Yuan, Xiujuan Wu, Yan Wang, Hao Tian, Guozhi Zhang, Andi Wan, Siyi Xiong, Chengfang Wang, Yuqin Zhou, Dandan Ma, Yangqiu Bao, Man Qu, Jun Jiang, Yi Zhang, Xiaowei Qi
Publikováno v:
BMC Medicine, Vol 22, Iss 1, Pp 1-10 (2024)
Abstract Background Previous studies have shown that the addition of platinum to neoadjuvant chemotherapy (NAC) improved outcomes for patients with triple-negative breast cancer (TNBC). However, no studies have assessed the efficacy and safety of the
Externí odkaz:
https://doaj.org/article/15696dfb13c44806a9606edb08ab04bc
Publikováno v:
BMC Psychiatry, Vol 24, Iss 1, Pp 1-8 (2024)
Abstract Background Depression is a life-threatening mental health problem. Various factors have been demonstrated to be associated with depressive symptoms, including negative life events (NLEs) and alexithymia. A retrospective study was conducted t
Externí odkaz:
https://doaj.org/article/15d42531cb354e2599503e216f9cd91f
Autor:
Yujie Chen, Huizhen Jiang, Yuna Wei, Yehan Qiu, Longxiang Su, Jieqing Chen, Xin Ding, Lu Wang, Dandan Ma, Feng Zhang, Wen Zhu, Xiaoyang Meng, Guoqiang Sun, Lian Ma, Yao Wang, Linfeng Li, Guiren Ruan, Fuping Guo, Ting Shu, Xiang Zhou, Bin Du
Publikováno v:
EBioMedicine, Vol 106, Iss , Pp 105257- (2024)
Summary: Background: Sepsis is a leading cause of mortality in intensive care units and vasoactive drugs are widely used in septic patients. The cardiovascular response of septic shock patients during resuscitation therapies and the relationship of t
Externí odkaz:
https://doaj.org/article/5437c7e791fb4a34a06fc70a585d2199
Publikováno v:
Financial Innovation, Vol 10, Iss 1, Pp 1-30 (2024)
Abstract Using unbalanced panel data on 3326 Chinese listed companies from 2014 to 2021, this study investigates the impact of corporate environmental performance on China’s excess stock returns. The results show that stocks of companies with bette
Externí odkaz:
https://doaj.org/article/2995bd78ff194f838a7ddbc09e2b1988
Publikováno v:
Scientific Data, Vol 10, Iss 1, Pp 1-8 (2023)
Abstract Climate policies can have a significant impact on the economy. However, these policies have often been associated with uncertainty. Quantitative assessment of the socioeconomic impact of climate policy uncertainty is equally or perhaps more
Externí odkaz:
https://doaj.org/article/b299ea0619e84efdafc34f5236477bfc
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