Zobrazeno 1 - 10
of 327
pro vyhledávání: '"Yulong, Yan"'
Publikováno v:
Energy Reports, Vol 9, Iss , Pp 5965-5976 (2023)
The vortex-induced vibration (VIV)-based piezoelectric wind energy harvester (PWEH) has a small working bandwidth and poor wind energy harvesting performance. In order to improve the output power of the PWEH and achieve sustainable power supply for m
Externí odkaz:
https://doaj.org/article/f982ebc88ee946f28890b6fb5d3a2ac4
Autor:
Zhiqiang Wan, Rui Gu, Yulong Yan, Lijun Bai, Tiejun Bao, Jie Yang, Qingzhu Gao, Hasbagan Ganjurjav, Guozheng Hu, Haijun Zhou, Xi Chun
Publikováno v:
Frontiers in Plant Science, Vol 13 (2022)
Water availability is the main factor affecting the forage productivity of artificial grasslands, particularly in semi-arid regions. Generally, intercropping of gramineous grass and leguminous grass can achieve high productivity. However, how differe
Externí odkaz:
https://doaj.org/article/28e8ca04a2674bf88b8d207370522595
Autor:
Ling Han, Hasbagan Ganjurjav, Guozheng Hu, Jianshuang Wu, Yulong Yan, Luobu Danjiu, Shicheng He, Wendong Xie, Jun Yan, Qingzhu Gao
Publikováno v:
Frontiers in Plant Science, Vol 13 (2022)
Nitrogen (N) deposition can affect the global ecosystem carbon balance. However, how plant community assembly regulates the ecosystem carbon exchange in response to the N deposition remains largely unclear, especially in alpine meadows. In this study
Externí odkaz:
https://doaj.org/article/e166ff30f1794b7c8426ec1ad432f586
Autor:
Yu Li, Shikui Dong, Qingzhu Gao, Chun Fan, Moses Fayiah, Hasbagan Ganjurjav, Guozheng Hu, Xuexia Wang, Yulong Yan, Xiaoxia Gao, Shuai Li
Publikováno v:
Frontiers in Plant Science, Vol 13 (2022)
Grazing is a substantial threat to the sustainability of grassland ecosystems, while it is uncertain about the variety of plant and soil microbial community and the linkages between them limit the comprehensive understanding of grazing ecology. We co
Externí odkaz:
https://doaj.org/article/8373f60c4a884e02b2c77e8ae2e42d00
Publikováno v:
Frontiers in Neuroscience, Vol 16 (2022)
The spiking neural network (SNN) is a possible pathway for low-power and energy-efficient processing and computing exploiting spiking-driven and sparsity features of biological systems. This article proposes a sparsity-driven SNN learning algorithm,
Externí odkaz:
https://doaj.org/article/4d4e335090f842d5858b5cd9e45ae930
Autor:
You Zhang, Tsuicheng Chiu, Jeffrey Dubas, Zhen Tian, Pam Lee, Xuejun Gu, Yulong Yan, David Sher, Robert Timmerman, Bo Zhao
Publikováno v:
Radiation Oncology, Vol 14, Iss 1, Pp 1-10 (2019)
Abstract Introduction Stereotactic body radiation therapy (SBRT) was found effective in treating laryngeal cancer with only five treatment fractions by a recent clinical trial (NCT01984502, ClinicalTrials.gov). Nevertheless, this trial used the Cyber
Externí odkaz:
https://doaj.org/article/89dcd094da714f759df28adc3dac4c0b
Autor:
Dan Nguyen, Fernando Kay, Jun Tan, Yulong Yan, Yee Seng Ng, Puneeth Iyengar, Ron Peshock, Steve Jiang
Publikováno v:
Frontiers in Artificial Intelligence, Vol 4 (2021)
Since the outbreak of the COVID-19 pandemic, worldwide research efforts have focused on using artificial intelligence (AI) technologies on various medical data of COVID-19–positive patients in order to identify or classify various aspects of the di
Externí odkaz:
https://doaj.org/article/1cd1a43a39824a368149286bdca6276b
Autor:
Hao Jia, Yuxiang Huan, Chen Ding, Yulong Yan, Jianjun Cui, Jiachen Wang, Chuhuang Cai, Lida Xu, Zhuo Zou, Lirong Zheng
Publikováno v:
IEEE Transactions on Industrial Informatics. 19:5465-5475
Autor:
Xiao Zhou, Yongjie Wang, Hongwei Wang, Lin Xiang, Yulong Yan, Li Li, Guotao Xiang, Yanhong Li, Sha Jiang, Xiao Tang, Xianju Zhou
Publikováno v:
Sensing and Bio-Sensing Research, Vol 29, Iss , Pp 100345- (2020)
This work reports on ratiometric optical thermometers consisting of luminescent lanthanide complexes, namely Ln-PDC (Ln = Nd, Nd1.43Yb0.57, Gd1.45Nd0.40Yb0.15, PDC = pyridine-3,5-dicarboxylate). The fluorescence intensity ratio techniques based on em
Externí odkaz:
https://doaj.org/article/8cd2f032fba246e8b4bb3483a9e196fe
Autor:
Xiangyu Zhang, Yulong Yan, Xiaolin Duan, Jianwei Chai, Rumei Li, Yang Xu, Zhiyong Li, Lin Peng
Publikováno v:
Atmosphere, Vol 13, Iss 3, p 393 (2022)
Volatile organic compounds (VOCs) emitted from industrial processes, which are major emission sources of air pollutants, could cause significant impacts on air quality. However, studies on the comprehensive analysis from sources contributing to the h
Externí odkaz:
https://doaj.org/article/e8af817186ee41daa1f67728210cf464