Zobrazeno 1 - 10
of 17 194
pro vyhledávání: '"Ma Jing"'
Publikováno v:
Zhejiang dianli, Vol 43, Iss 9, Pp 97-106 (2024)
Accurate human pose estimation is crucial for precisely locating key points of human body during the near-electricity work in substations. However， traditional detection methods often suffer from low accuracy， missed detections， and misdetectio
Externí odkaz:
https://doaj.org/article/b16422c977544d0aada70e533a790c64
Publikováno v:
Sichuan jingshen weisheng, Vol 37, Iss 3, Pp 198-204 (2024)
BackgroundMajor depressive disorder and insomnia often coexist， and the two may share a mechanism of pathogenesis and be affected by common underlying genes with strong pleiotropic effects. Previous genome-wide association studies （GWAS） mainly
Externí odkaz:
https://doaj.org/article/139fcb381d754167bc62d58da2ea0d75
Publikováno v:
Redai dili, Vol 44, Iss 4, Pp 648-661 (2024)
Accelerated development of modern society has harmed people's physical and mental health. It has become a trend to achieve physical recovery and spiritual reshaping through the deceleration of tourism. However, further research is required to underst
Externí odkaz:
https://doaj.org/article/4981fa0e3f8145f3a4e1c8888a4f289b
Autor:
HOU Yunbing, CHEN Youlong, WANG Yaxian, SUN Zhenming, REN Jie, WANG Legeng, MA Jing, DU Jianbiao
Publikováno v:
矿业科学学报, Vol 9, Iss 2, Pp 295-303 (2024)
Knowledge graph is an indispensable part of cognitive intelligence research.Aiming at the problem that the traditional analysis method of stope mine pressure hazard events has insufficient expression of the stress time and space evolution process and
Externí odkaz:
https://doaj.org/article/dc2d35b5614b454da02c898ddb433507
Publikováno v:
IEEE Access, Vol 12, Pp 76432-76441 (2024)
This article proposes a low-carbon operation analysis method for micro grids based on improved particle swarm optimization algorithm. Corresponding improvements have been made to the inertia weight, learning factor, and individual extreme of the algo
Externí odkaz:
https://doaj.org/article/436d5417c7ee43869df92c8cad03c373
Publikováno v:
Xibei Gongye Daxue Xuebao, Vol 41, Iss 6, Pp 1162-1169 (2023)
The performance of proton exchange membrane fuel cells (PEMFCs) is significantly influenced by their temperature and cathode humidity, as they affect power density and internal water distribution. The interdependent nature of these two parameters nec
Externí odkaz:
https://doaj.org/article/d0f0895e769f40bdaacf25e05839cdcd
Publikováno v:
Shanghai Jiaotong Daxue xuebao. Yixue ban, Vol 43, Iss 9, Pp 1131-1144 (2023)
Objective·To investigate the effects of intermittent fasting (IF) combined with thermogenic fat activation on the treatment and prevention of obesity in mice.Methods·Male C57BL/6J mice aged 8 weeks were fed by high-fat diet for 4 months and then us
Externí odkaz:
https://doaj.org/article/46ba335eda394d52abca179f52f02fac
Publikováno v:
Shanghai Jiaotong Daxue xuebao. Yixue ban, Vol 43, Iss 9, Pp 1169-1174 (2023)
Objective·To investigate the correlation between intramuscular adipose tissue (IMAT) content and glucose metabolism in male patients with obesity.Methods·Eighty male patients with obesity were recruited from the Endocrinology Department of Renji Ho
Externí odkaz:
https://doaj.org/article/63a20a8093f3417783c477de9b02db07
Publikováno v:
Cailiao gongcheng, Vol 51, Iss 6, Pp 177-185 (2023)
By improving the existing preparation methods, a piperazine polypyrophosphat (PAPP) with high thermal stability was synthesized. It was compounded with halloysite nanotube (HNTs) and melamine cyanurate (MCA) to form P-N-Si intumescent flame retardant
Externí odkaz:
https://doaj.org/article/a59804e56a0043929244778a1ab61b28
Autor:
Ma Jing
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
In today’s digital trend, deep learning technology has become an indispensable innovation power in the field of graphic design. In order to better integrate traditional visual elements from graphic design into graphic design, this paper proposes a
Externí odkaz:
https://doaj.org/article/11d08cbad414494582e0076b4d66181f