Zobrazeno 1 - 10
of 358
pro vyhledávání: '"Mingyang SUN"'
Publikováno v:
BMC Geriatrics, Vol 24, Iss 1, Pp 1-12 (2024)
Abstract Purpose No study has compared 30-day and 90-day adverse postoperative outcomes between old-age patients with and those without sarcopenia. Patients and methods We categorize elderly patients receiving major surgery into two groups according
Externí odkaz:
https://doaj.org/article/99fcf449494a4f29b3fb25077fe6daf4
Publikováno v:
Guangdong nongye kexue, Vol 51, Iss 5, Pp 69-80 (2024)
Andrographolide is the main active ingredient of Andrographis paniculata, which has the functions of clearing heat and detoxifying, antibacterial and anti-inflammatory, protecting liver and improving gallbladder. It is clinically used to treat pneumo
Externí odkaz:
https://doaj.org/article/09b5e56930974027824de3d3ac02fb12
Exact Box-Constrained Economic Operating Region for Power Grids Considering Renewable Energy Sources
Publikováno v:
Journal of Modern Power Systems and Clean Energy, Vol 12, Iss 2, Pp 514-523 (2024)
The growing integration of renewable energy generation manifests as an effective strategy for reducing carbon emissions. This paper strives to efficiently approximate the set of optimal scheduling plans (OSPs) to enhance the performance of the steady
Externí odkaz:
https://doaj.org/article/10d11140a1784e87bcc182c904d4ae0f
Autor:
Jianxiao Wang, Liudong Chen, Zhenfei Tan, Ershun Du, Nian Liu, Jing Ma, Mingyang Sun, Canbing Li, Jie Song, Xi Lu, Chin-Woo Tan, Guannan He
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-11 (2023)
Abstract Solar and wind resources are vital for the sustainable energy transition. Although renewable potentials have been widely assessed in existing literature, few studies have examined the statistical characteristics of the inherent renewable unc
Externí odkaz:
https://doaj.org/article/9a044bb30d464f82a0ac40b7a782b8e5
Publikováno v:
Molecules, Vol 29, Iss 15, p 3459 (2024)
Berberine (BBR), as a natural isoquinoline alkaloid, has demonstrated various pharmacological activities, and is widely applied in the treatment of diseases. The quantitative analysis of BBR is important for pharmacological studies and clinical appli
Externí odkaz:
https://doaj.org/article/7a2c56f91494450883091afd88bdcacd
Publikováno v:
BMC Plant Biology, Vol 23, Iss 1, Pp 1-14 (2023)
Abstract Background The R2R3-MYB transcription factors are a crucial and extensive gene family in plants, which participate in diverse processes, including development, metabolism, defense, differentiation, and stress response. In the Lingnan region
Externí odkaz:
https://doaj.org/article/5bda6045cee74ceda25f483601b68a95
Publikováno v:
Shipin gongye ke-ji, Vol 44, Iss 14, Pp 46-52 (2023)
This experiment mainly studied the effect of shiitake stipe powder on the quality and nutritional composition of eggs from Hy-Line brown hens. 112 healthy 40-week-old Hy-Line brown hens in the same batch were selected and were randomly divided into 4
Externí odkaz:
https://doaj.org/article/f3c6098d67b2489b81fffa844fc8e2d4
Publikováno v:
Carbon Neutrality, Vol 2, Iss 1, Pp 1-54 (2023)
Abstract In order to achieve global carbon neutrality in the middle of the 21st century, efficient utilization of fossil fuels is highly desired in diverse energy utilization sectors such as industry, transportation, building as well as life science.
Externí odkaz:
https://doaj.org/article/e9c7a164e0f54d21a9de48c19f7345b1
Autor:
Yuhui Li, Xuan Zheng, Jiangong Wang, Mingyang Sun, Dan Li, Zhuo Wang, Jingwu Li, Yufeng Li, Yongliang Liu
Publikováno v:
Annals of Clinical and Translational Neurology, Vol 10, Iss 6, Pp 865-878 (2023)
Abstract Background Glioblastoma (GBM) is the most aggressive brain tumor. Reportedly, circular RNAs (circRNAs) participate in regulation of the development and progression of diverse cancers, including GBM. Methods Dysregulated circRNAs in GBM tissu
Externí odkaz:
https://doaj.org/article/4f1253a415d346618e3803e27fa0fb9c
Publikováno v:
Energy Conversion and Economics, Vol 4, Iss 3, Pp 202-212 (2023)
Abstract With the increase in inverter‐based renewable energy resources, the complexity and uncertainty of low‐carbon power systems have increased significantly. Deep reinforcement learning (DRL)–based approaches have been extensively studied f
Externí odkaz:
https://doaj.org/article/07ef43296d9a4e89935ab79733ed410b