Zobrazeno 1 - 10
of 120
pro vyhledávání: '"Yueyuan Zhang"'
Autor:
Xin Zhao, Shipeng Wang, Hongrui Zhang, Shengjun Dong, Jianhua Chen, Yongqiang Sun, Yueyuan Zhang, Quangang Liu
Publikováno v:
BMC Genomics, Vol 25, Iss 1, Pp 1-23 (2024)
Abstract Background The R2R3-MYB transcription factors in plants participate in various physiological and biochemical processes and responds to various external stimuli. Prunus sibirica (known as Siberian apricot) is a drupe tree species that produce
Externí odkaz:
https://doaj.org/article/991a4383f69546f0aa13c0e5da6cd50a
Publikováno v:
Symmetry, Vol 16, Iss 8, p 952 (2024)
In recent years, attention mechanisms have shown great potential in various computer vision tasks. However, most existing methods focus on developing more complex attention modules for better performance, which inevitably increases the complexity of
Externí odkaz:
https://doaj.org/article/546a38f4ffff4207aa13deb97f22cd92
Publikováno v:
Mathematics, Vol 12, Iss 14, p 2297 (2024)
This paper explores resilient control problems for discrete-time nonlinear semi-Markov jump systems characterized by incremental quadratic constraints. Considering the system’s uncertainties and external environmental factors, mode-dependent resili
Externí odkaz:
https://doaj.org/article/e631472423d04dbb971b29dd1485467a
Publikováno v:
Sensors, Vol 24, Iss 14, p 4573 (2024)
This paper introduces an adaptive trajectory-tracking control method for uncertain nonlinear systems, leveraging a time-varying threshold event-triggered mechanism to achieve predefined-time tracking. Compared to conventional time-triggering approach
Externí odkaz:
https://doaj.org/article/65cb7c9b972c44e0a269084747412739
Autor:
Natasha Spottiswoode, Douglas Pet, Annie Kim, Katherine Gruenberg, Maulik Shah, Amrutha Ramachandran, Matthew T. Laurie, Maham Zia, Camille Fouassier, Christine L. Boutros, Rufei Lu, Yueyuan Zhang, Venice Servellita, Andrew Bollen, Charles Y. Chiu, Michael R. Wilson, Liza Valdivia, Joseph L. DeRisi
Publikováno v:
Emerging Infectious Diseases, Vol 29, Iss 1, Pp 197-201 (2023)
A patient in California, USA, with rare and usually fatal Balamuthia mandrillaris granulomatous amebic encephalitis survived after receiving treatment with a regimen that included the repurposed drug nitroxoline. Nitroxoline, which is a quinolone typ
Externí odkaz:
https://doaj.org/article/5da61a78676945518ef5302991f98480
Publikováno v:
Frontiers in Pharmacology, Vol 13 (2022)
Background: Postmarketing safety analysis is an effective supplement for new drugs in clinical practice. Therefore, we aimed to systematically assess the safety of oral nemonoxacin malate, the first approved C-8-methoxy non-fluorinated quinolone, in
Externí odkaz:
https://doaj.org/article/6431efeb6be241ab993cabeb738815ad
Publikováno v:
Sensors, Vol 23, Iss 10, p 4906 (2023)
Pedestrian tracking is a challenging task in the area of visual object tracking research and it is a vital component of various vision-based applications such as surveillance systems, human-following robots, and autonomous vehicles. In this paper, we
Externí odkaz:
https://doaj.org/article/80741b81cc1f4003aec47a672fd713db
Publikováno v:
BMC Cancer, Vol 21, Iss 1, Pp 1-13 (2021)
Abstract Background Recent years, survival rates of human with high-risk acute myeloid leukaemia (AML) have not raised substantially. This research aimed to investigate the role of 4′-O-Methylbroussochalcone B, for the treatment of human AML. Metho
Externí odkaz:
https://doaj.org/article/db2e0fe6f259449195f3e04d0b0c8fa6
Publikováno v:
Mathematics, Vol 11, Iss 4, p 1038 (2023)
This paper considers the regional consensus problem for multi-agent systems with actuator saturation. By utilizing the theory of convex set, a novel multiple nonlinear feedback control protocol is presented, which can effectively reduce the conservat
Externí odkaz:
https://doaj.org/article/c24243c6312e44e3b465595bd3133079
Publikováno v:
Geomatics, Natural Hazards & Risk, Vol 10, Iss 1, Pp 2145-2162 (2019)
This study evaluated the performance and utility of the Climate Hazard Group InfraRed Precipitation with Stations (CHIRPS) dataset for monitoring drought over Yunnan Province, China. First, several statistical metrics were used to evaluate the CHIRPS
Externí odkaz:
https://doaj.org/article/50fdcd2f82f6471f955c77e86282c244