Zobrazeno 1 - 10
of 293
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
Publikováno v:
Materials, Vol 16, Iss 10, p 3612 (2023)
This study investigated the effect of hollow 304 stainless-steel fiber on the corrosion resistance and mechanical properties of ultra-high-performance concrete (UHPC), and prepared copper-coated-fiber-reinforced UHPC as the control group. The electro
Externí odkaz:
https://doaj.org/article/043574d135954000abcc475bd129e887
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:
Materials, Vol 16, Iss 6, p 2257 (2023)
Steel fiber-reinforced ultra-high-performance concrete (UHPC) is becoming an important type of concrete reinforcement. After mixing with the reinforced steel fibers, the UHPC has perfect flex resistance, shear strength, crack resistance, shock resist
Externí odkaz:
https://doaj.org/article/b558b1cc2e1e4022a80e410a4abcaf19
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
Publikováno v:
Materials, Vol 16, Iss 1, p 86 (2022)
In this study, an Al2O33D/5083 Al composite was fabricated by infiltrating a molten 5083 Al alloy into a three-dimensional alumina reticulated porosity ceramics skeleton preform (Al2O33D) using a pressureless infiltration method. The corrosion resist
Externí odkaz:
https://doaj.org/article/b0e753a678a64ccda8ba54f40151b127
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