Zobrazeno 1 - 10
of 579
pro vyhledávání: '"Yongsheng Yang"'
Autor:
Qiqi Yan, Haixia Liu, Shiyue Sun, Yongsheng Yang, DanPing Fan, Yuqin Yang, Yukun Zhao, Zhiqian Song, Yanjing Chen, Ruyuan Zhu, Zhiguo Zhang
Publikováno v:
Journal of Nanobiotechnology, Vol 22, Iss 1, Pp 1-20 (2024)
Abstract Rheumatoid arthritis (RA) is a chronic autoimmune disease marked by synovitis and cartilage destruction. The active compound, icariin (ICA), derived from the herb Epimedium, exhibits potent anti-inflammatory properties. However, its clinical
Externí odkaz:
https://doaj.org/article/fc2713b4d30d4b04904c02012741167e
Publikováno v:
地震科学进展, Vol 54, Iss 4, Pp 272-277 (2024)
The tide analysis method was used to analyze and assess changes in the quality of the observed data before and after the renovation of cavern with vertical pendulum tiltmeter in Malingshan seismic station. The results show that: ① The observation a
Externí odkaz:
https://doaj.org/article/7436f1c93c1242e38c6e34af21388546
Autor:
Juan Liu, Huafeng Han, Binbin Yang, Naifang Zhang, Jing Li, Xicheng Chen, Jie Wu, Yingying Zhao, Yongsheng Yang
Publikováno v:
Frontiers in Immunology, Vol 15 (2024)
With the rapid global spread of COVID-19 and the continuous emergence of variants, there is an urgent need to develop safe and effective vaccines. Here, we developed a novel mRNA vaccine, HC009, based on new formulation by the QTsome delivery platfor
Externí odkaz:
https://doaj.org/article/df3d7fd7836f42f6a0614cad492db648
Autor:
Yu Sun, Xiujuan Zhang, Yongsheng Yang, Yuheng Zhang, Junbang Wang, Mingyang Zhang, Chu Wu, Junliang Zou, Huakun Zhou, Jiexia Li
Publikováno v:
Ecological Indicators, Vol 163, Iss , Pp 112097- (2024)
In recent decades, alpine meadows have experienced severe degradation owing to external disturbances. Although soil microorganisms are critical for ecosystem services, little is known about their responses to soil degradation and the potential patter
Externí odkaz:
https://doaj.org/article/93de468fcb8942648f56a0e09c84df67
Publikováno v:
BMC Ecology and Evolution, Vol 24, Iss 1, Pp 1-11 (2024)
Abstract Background Carbon and water use efficiencies (CUE and WUE, respectively) are vital indicators of the adaptability of plants to environmental conditions. However, the effects of grazing and climate change on the spatiotemporal changes in CUE
Externí odkaz:
https://doaj.org/article/0b7cc78221dc420fa55c8982a3927f23
Publikováno v:
Mathematical Biosciences and Engineering, Vol 21, Iss 2, Pp 2385-2406 (2024)
Intelligent diagnosis of bearing faults is fundamental to machinery automation and their intelligent operation. Deep learning-based analysis of bearing vibration data has emerged as one research mainstream for fault diagnosis. To enhance the quality
Externí odkaz:
https://doaj.org/article/b2af88e06d2d41aebdd6b4e0f7b9e777
Publikováno v:
Cell Death and Disease, Vol 14, Iss 11, Pp 1-16 (2023)
Abstract Pancreatic ductal adenocarcinoma (PDAC) is a highly aggressive cancer most frequently detected at an advanced stage that limits treatment options to systemic chemotherapy, which has provided only marginal positive clinical outcomes. Currentl
Externí odkaz:
https://doaj.org/article/f2168dd013be4ed981a5b688c29b7fab
Publikováno v:
Drones, Vol 8, Iss 8, p 387 (2024)
This article studies a nonlinear model predictive control (NMPC) scheme for the trajectory tracking efficiency of a quadcopter UAV. A cost function is first proposed that incorporates weighted increments of control forces in each direction, followed
Externí odkaz:
https://doaj.org/article/a38b0c58afe9410d9be631a9fe889165
Publikováno v:
Frontiers in Physiology, Vol 14 (2023)
The Segmentation of infected areas from COVID-19 chest X-ray (CXR) images is of great significance for the diagnosis and treatment of patients. However, accurately and effectively segmenting infected areas of CXR images is still challenging due to th
Externí odkaz:
https://doaj.org/article/d1609f51910b44b395ae5e8d2f41714a
Publikováno v:
IEEE Access, Vol 11, Pp 47480-47490 (2023)
As COVID-19 continues to put pressure on the global healthcare industry, using artificial intelligence to analyze chest X-rays (CXR) has become an effective way to diagnose the virus and treat patients. Despite that many studies have made significant
Externí odkaz:
https://doaj.org/article/70a096c4f8704d60901de5d064b55310