Zobrazeno 1 - 10
of 77
pro vyhledávání: '"Yuchi Ma"'
Publikováno v:
Journal of Vascular Surgery Cases and Innovative Techniques, Vol 10, Iss 4, Pp 101512- (2024)
Isolated superior mesenteric artery dissection without aortic involvement is an exceptionally rare event. Nonoperative management remains the first-line therapy. However, surgical interventions can be indicated in the event of bowel ischemia. In the
Externí odkaz:
https://doaj.org/article/dde9cb3f072748018afbcc7ec12eda46
Publikováno v:
Communications Earth & Environment, Vol 5, Iss 1, Pp 1-10 (2024)
Abstract Climate warming affects global livestock productivity. The meat yield from cattle farming (cattle meat per animal) represents livestock productivity at the individual level. However, the impact of warming on cattle meat yield at a global sca
Externí odkaz:
https://doaj.org/article/7ab9a6cd05584b79bd5f22874f545508
Autor:
Tongjia Ni, Shuai Zhang, Jia Rao, Jiaqi Zhao, Haiqi Huang, Ying Liu, Yue Ding, Yaqian Liu, Yuchi Ma, Shoujun Zhang, Yang Gao, Liqian Shen, Chuanbo Ding, Yunpeng Sun
Publikováno v:
Molecules, Vol 29, Iss 3, p 741 (2024)
Phlorizin, as a flavonoid from a wide range of sources, is gradually becoming known for its biological activity. Phlorizin can exert antioxidant effects by regulating the IL-1β/IKB-α/NF-KB signaling pathway. At the same time, it exerts its antibact
Externí odkaz:
https://doaj.org/article/5621fb57347f4033ad29be901edd14c2
Publikováno v:
Remote Sensing, Vol 15, Iss 18, p 4562 (2023)
Over the past few years, there has been extensive exploration of machine learning (ML), especially deep learning (DL), for crop yield prediction, resulting in impressive levels of accuracy. However, such models are highly dependent on training sample
Externí odkaz:
https://doaj.org/article/f32ea592d9284170aa25c24a7ebf8e43
Publikováno v:
Frontiers in Plant Science, Vol 13 (2022)
Potato is one of the most significant food crops globally due to its essential role in the human diet. The growing demand for potato, coupled with severe environmental losses caused by extensive farming activities, implies the need for better crop pr
Externí odkaz:
https://doaj.org/article/d8198cc30efc418a8a50ab3f6fae850a
Publikováno v:
Agronomy, Vol 12, Iss 10, p 2533 (2022)
Potato growth depends largely on nitrogen (N) availability in the soil. However, the shallow-root crop coupled with its common cultivation in coarse-textured soils leads to its poor N use efficiency. Fast and accurate estimations of potato tissue N c
Externí odkaz:
https://doaj.org/article/030a176a60a548568f06cd1f7eb96508
Autor:
Peng Wei, Bo Liu, Ruifeng Wang, Yinglei Gao, Lanlan Li, Yuchi Ma, Zhiwei Qian, Yuelei Chen, Maosheng Cheng, Meiyu Geng, Jingkang Shen, Dongmei Zhao, Jing Ai, Bing Xiong
Publikováno v:
Acta Pharmaceutica Sinica B, Vol 9, Iss 2, Pp 351-368 (2019)
Genomic alterations are commonly found in the signaling pathways of fibroblast growth factor receptors (FGFRs). Although there is no selective FGFR inhibitors in market, several promising inhibitors have been investigated in clinical trials, and show
Externí odkaz:
https://doaj.org/article/845aa42b2d4e4aab8ec6e2b40986655e
Publikováno v:
Remote Sensing, Vol 14, Iss 10, p 2340 (2022)
Spatially explicit crop yield datasets with continuous long-term series are essential for understanding the spatiotemporal variation of crop yield and the impact of climate change on it. There are several spatial disaggregation methods to generate gr
Externí odkaz:
https://doaj.org/article/a80c996e84c74e4e922a5630fdc587bc
Publikováno v:
Sensors, Vol 20, Iss 18, p 5293 (2020)
Potato is the largest non-cereal food crop in the world. Timely estimation of end-of-season tuber production using in-season information can inform sustainable agricultural management decisions that increase productivity while reducing impacts on the
Externí odkaz:
https://doaj.org/article/ef54f2b25be140adb34beb5dda0302bf
Publikováno v:
Remote Sensing, Vol 12, Iss 12, p 2028 (2020)
Alfalfa is a valuable and intensively produced forage crop in the United States, and the timely estimation of its yield can inform precision management decisions. However, traditional yield assessment approaches are laborious and time-consuming, and
Externí odkaz:
https://doaj.org/article/a2027643cec24f5bb976f0551c87c40e