Zobrazeno 1 - 10
of 114
pro vyhledávání: '"Yaping DENG"'
Publikováno v:
Shuiwen dizhi gongcheng dizhi, Vol 51, Iss 4, Pp 88-100 (2024)
Characterizing fractured aquifers plays a crucial role in the issues related to groundwater contamination, and geothermal and hydrocarbon resource exploitation. Due to the heterogeneity of the fractured medium, the permeability of fractured medium ge
Externí odkaz:
https://doaj.org/article/10bb1a42dc034baf814c241e7bd0dc6b
Publikováno v:
Shuiwen dizhi gongcheng dizhi, Vol 50, Iss 1, Pp 51-59 (2023)
In order to explore the effectiveness of salt and heat tracers in a fracture-matrix system, a fracture-matrix test model is designed. The tracer tests with different tracers are carried out. The transport process of tracer is described in the fractur
Externí odkaz:
https://doaj.org/article/678809a3dda540198e077a51a0cb2d7e
Publikováno v:
BMC Genomic Data, Vol 23, Iss 1, Pp 1-11 (2022)
Abstract Background Bladder cancer has the characteristics of high morbidity and mortality, and the prevalence of bladder cancer has been increasing in recent years. Immune and autophagy related genes play important roles in cancer, but there are few
Externí odkaz:
https://doaj.org/article/a58f3bd174904ec2b4893c1c74bf5d81
Publikováno v:
Shuiwen dizhi gongcheng dizhi, Vol 49, Iss 3, Pp 174-181 (2022)
The migration and distribution of dense non-aqueous phase liquid (DNAPLs) in fractured media are affected by many factors, including the chemical properties of DNAPLs, geometric and chemical properties of fractures and leakage conditions. Previous st
Externí odkaz:
https://doaj.org/article/9ff88af2aedb48c3b00d7c3117d6aa81
Publikováno v:
Journal of Modern Power Systems and Clean Energy, Vol 9, Iss 5, Pp 1018-1031 (2021)
Accurate sag source location and precise sag type recognition are both essential to verifying the responsible party for the sag and taking countermeasures to improve power quality. In this paper, an attention-based independently recurrent neural netw
Externí odkaz:
https://doaj.org/article/0302587116714ebc8da461e720bcef01
Autor:
Yaping Deng, Chuanbao Men, Shengfeng Qiao, Wenjie Wang, Junfei Gu, Lijun Liu, Zujian Zhang, Hao Zhang, Zhiqin Wang, Jianchang Yang
Publikováno v:
Crop Journal, Vol 8, Iss 4, Pp 534-547 (2020)
Phosphorus use efficiency (PUE) can be improved through cultivation techniques and breeding. However, little is known about rice (Oryza sativa L.) agronomic and physiological traits associated with high PUE. We characterized the agronomic and physiol
Externí odkaz:
https://doaj.org/article/8f7af24cced34249aae3752a991c1a88
Publikováno v:
Frontiers in Psychology, Vol 12 (2021)
This study aimed to investigate the status and risk factors of post-traumatic stress disorder (PTSD) in patients with acute myocardial infarction (AMI) after emergency percutaneous coronary intervention (PCI) in acute and convalescence phases. A long
Externí odkaz:
https://doaj.org/article/a201e5aa28d540bca0792a0319075857
Autor:
Yaping Deng, Shengfeng Qiao, Weilu Wang, Weiyang Zhang, Junfei Gu, Lijun Liu, Hao Zhang, Zhiqin Wang, Jianchang Yang
Publikováno v:
Food and Energy Security, Vol 10, Iss 3, Pp n/a-n/a (2021)
Abstract Phosphorus (P) deficiency is a limiting factor for sustainable rice (Oryza sativa L.) production. However, little is known about how rice varieties that differ in tolerance to low P perform under water‐saving irrigation. In this study, we
Externí odkaz:
https://doaj.org/article/1f9e1c5e2da64e11953762fe270635d2
Publikováno v:
Energies, Vol 15, Iss 6, p 2273 (2022)
Voltage sag state estimation on the basis of a limited number of installed monitors is essential to dividing the responsibility for the voltage sag and taking corresponding measurements for improvement in voltage quality. Therefore, a deep learning m
Externí odkaz:
https://doaj.org/article/4fbeb9b6d5b44bbdb7f35b4f625702fa
Publikováno v:
Remote Sensing, Vol 13, Iss 14, p 2716 (2021)
The distribution of forest tree species provides crucial data for regional forest management and ecological research. Although medium-high spatial resolution remote sensing images are widely used for dynamic monitoring of forest vegetation phenology
Externí odkaz:
https://doaj.org/article/55459d9b372549a298af62bc78bec86c