Zobrazeno 1 - 10
of 80
pro vyhledávání: '"Yanyan Lv"'
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 9907-9921 (2024)
The structure information of hyperspectral image (HSI) is well-characterized by tensors, surpassing the capabilities of traditional compressive sensing reconstruction models based on vectors and matrices. Tensor decomposition has been integrated with
Externí odkaz:
https://doaj.org/article/d72317831dd14fbfa74d132af14fd5b2
Autor:
Senyu Yao, Mao Pang, Yanheng Wang, Xiaokang Wang, Yaobang Lin, Yanyan Lv, Ziqi Xie, Jianfeng Hou, Cong Du, Yuan Qiu, Yuanjun Guan, Bin Liu, Jiancheng Wang, Andy Peng Xiang, Limin Rong
Publikováno v:
Redox Biology, Vol 67, Iss , Pp 102871- (2023)
Ferroptosis is a newly discovered form of iron-dependent oxidative cell death and drives the loss of neurons in spinal cord injury (SCI). Mitochondrial damage is a critical contributor to neuronal death, while mitochondrial quality control (MQC) is a
Externí odkaz:
https://doaj.org/article/de329edaf1b84823bfeb46a840b31ba8
Publikováno v:
Frontiers in Ecology and Evolution, Vol 11 (2023)
Kobresia pygmaea is the endemic and one of the most important species in the alpine meadow in the Qinghai-Tibet Plateau. It is the key stage in the management of degraded grassland, and irreversible degradation will take place after the degradation s
Externí odkaz:
https://doaj.org/article/1248fff6418f48c986dd52c0aa319659
Publikováno v:
Agronomy, Vol 13, Iss 2, p 594 (2023)
Gynaephora alpherakii (G. alpherakii) is one of the dominant pests in the alpine meadow; its outbreak has substantial impacts on grass vegetation production and carrying capacity. The increasing frequency of G. alpherakii outbreaks will take place wi
Externí odkaz:
https://doaj.org/article/6fd964c3703042d2bc06fbe8a78db50a
Autor:
Yanyan Lv, X. Q. Zhao, S. R. Zhang, J. G. Zhang, K. T. Yue, B. P. Meng, M. Li, W. X. Cui, Y. Sun, L. Chang, J. R. Li, S. H. Yi, M. H. Shen
Publikováno v:
Frontiers in Plant Science, Vol 12 (2022)
Asymmetric responses of aboveground net primary productivity (ANPP) to precipitation were identified as a signal to predict ecosystem state shifts at temperate grassland zones in Inner Mongolia, China. However, mechanism studies were still lacking. T
Externí odkaz:
https://doaj.org/article/4b5ae7d57ab24a4fa1f056af6e063b7f
Autor:
Huifang Zhang, Zhonggang Tang, Binyao Wang, Baoping Meng, Yu Qin, Yi Sun, Yanyan Lv, Jianguo Zhang, Shuhua Yi
Publikováno v:
Global Ecology and Conservation, Vol 33, Iss , Pp e01999- (2022)
Remote sensing has become an indispensable method for estimating the regional-scale collection of grassland aboveground biomass (AGB). However, the lack of ground verification samples often reduces the inversion accuracy. This paper aimed to find a n
Externí odkaz:
https://doaj.org/article/77c76659e0204280a1b45cd46d84bc7f
Autor:
Xiaochun Wei, Yingying Zhang, Yanyan Zhao, Zhengqing Xie, Mohammad Rashed Hossain, Shuangjuan Yang, Gongyao Shi, Yanyan Lv, Zhiyong Wang, Baoming Tian, Henan Su, Fang Wei, Xiaowei Zhang, Yuxiang Yuan
Publikováno v:
Frontiers in Plant Science, Vol 12 (2021)
Plasmodiophora brassicae, an obligate biotrophic pathogen-causing clubroot disease, can seriously affect Brassica crops worldwide, especially Chinese cabbage. Understanding the transcriptome and metabolome profiling changes during the infection of P.
Externí odkaz:
https://doaj.org/article/de9bc7057b1d4561881968ab945f8ad8
Publikováno v:
BMC Gastroenterology, Vol 20, Iss 1, Pp 1-7 (2020)
Abstract Background Gastric cancer is one of the most common cancers in the world and a major cause of cancer-related death. This study aims to determine whether genetic variations in MIR155HG could be associated with gastric cancer risk. Materials &
Externí odkaz:
https://doaj.org/article/6296f193265942859163bc65a1722117
Autor:
Baoping Meng, Tiangang Liang, Shuhua Yi, Jianpeng Yin, Xia Cui, Jing Ge, Mengjing Hou, Yanyan Lv, Yi Sun
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 13, Pp 2986-2995 (2020)
Effective and accurate assessment of grassland above-ground biomass (AGB) especially via remote sensing (RS), is crucial for forage-livestock balance and ecological environment protection of alpine grasslands. Because of complexity and extensive spat
Externí odkaz:
https://doaj.org/article/5275ddda45434170b3fc8fd623a1acbf
Autor:
Baoping Meng, Yuzhuo Zhang, Zhigui Yang, Yanyan Lv, Jianjun Chen, Meng Li, Yi Sun, Huifang Zhang, Huilin Yu, Jianguo Zhang, Jie Lian, Mingzhu He, Jinrong Li, Hongyan Yu, Li Chang, Shuhua Yi
Publikováno v:
Remote Sensing, Vol 14, Iss 9, p 2094 (2022)
Grassland classification is crucial for grassland management. One commonly used method utilizes remote sensing vegetation indices (VIs) to map grassland classes at various scales. However, most grassland classifications were conducted as case studies
Externí odkaz:
https://doaj.org/article/0f882a7a235140a3a695ac62073b6b78