Zobrazeno 1 - 10
of 93
pro vyhledávání: '"Tianlong Zheng"'
Autor:
Pengyu Li, Huiyu Yang, Han Wu, Yujia Wang, Hao Su, Tianlong Zheng, Fang Zhu, Guangtao Zhang, Yu Han
Publikováno v:
Results in Engineering, Vol 24, Iss , Pp 102939- (2024)
The growing demand for renewable energy sources like wind and solar power requires accurate and reliable forecasting techniques for effective planning and operation. This study presents an attention-based spatial-temporal graph neural network–long
Externí odkaz:
https://doaj.org/article/174c1691919d445a958fa55552a2d47a
Autor:
Jinxin Lyu, Wenkai Li, Tainian Shi, Chang Zhu, Xuezheng Yu, Tianlong Zheng, Yingnan Cao, Yingqun Ma, Zhining Shi, Pengyu Li, Junxin Liu, Jianguo Liu
Publikováno v:
Results in Engineering, Vol 20, Iss , Pp 101623- (2023)
To investigate the differences in the bacterial communities of biofilms in the appurtenant facilities of rural sewage collection systems, a pilot research setup was constructed. A study was conducted using real sewage collected in a rural area, and t
Externí odkaz:
https://doaj.org/article/5b78713c9f2e4ea38feaebfc1913c4b3
Publikováno v:
Big Data Mining and Analytics, Vol 5, Iss 4, Pp 318-338 (2022)
The unprecedented coronavirus disease 2019 (COVID-19) pandemic is still raging (in year 2021) in many countries worldwide. Various response strategies to study the characteristics and distributions of the virus in various regions of the world have be
Externí odkaz:
https://doaj.org/article/7265e510f3e24e378762b30d268c94d5
Publikováno v:
Water Science and Technology, Vol 86, Iss 9, Pp 2385-2395 (2022)
Channels and sewers are commonly used to collect sewage during extensively rural areas. The sewage and bacterial characteristics of rural sewage collection systems can influence their operation and maintenance performance which further affect appropr
Externí odkaz:
https://doaj.org/article/841f42f717e7460dbec3603aac2c7caf
Publikováno v:
Archives of Medical Science, Vol 18, Iss 5, Pp 1208-1220 (2021)
Introduction It is essential to predict the survival status of patients based on their prognosis. This can assist physicians in evaluating treatment decisions. Random forest is an excellent machine learning algorithm even without any modification. We
Externí odkaz:
https://doaj.org/article/c3fb139e7fc646f6be6103d9057b668f
Autor:
Xiaoqin Zhou, Zifu Li, Tianlong Zheng, Yichang Yan, Pengyu Li, Emmanuel Alepu Odey, Heinz Peter Mang, Sayed Mohammad Nazim Uddin
Publikováno v:
Environment International, Vol 120, Iss , Pp 246-261 (2018)
The implementation of the United Nations (UN) Millennium Development Goals (MDGs) and Sustainable Development Goals (SDGs) has resulted in an increased focus on developing innovative, sustainable sanitation techniques to address the demand for adequa
Externí odkaz:
https://doaj.org/article/ffa7bd32ff7a4de1b392186362e26246
Autor:
Chang Zhu, Jinxin Lyu, Tianlong Zheng, Juan Wang, Wenkai Li, Yingnan Cao, Jianguo Liu, Yingqun Ma, Shulei Tian
Publikováno v:
Environmental Science: Water Research & Technology. 9:1491-1501
Significant differences existed in microbes from different rural sewers. Lots of denitrifying bacteria and lack of sulfate-reducing bacteria were found in rural sewers. Certain abundance of pathogenic bacteria were detected in rural greywater sewer.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::98fdd2b066741ed46f72afc11bfcf94d
https://doi.org/10.1039/d2ew00845a
https://doi.org/10.1039/d2ew00845a
Autor:
Benyi Xiao, Xiangyu Chen, Ke Zhang, Tianlong Zheng, Chunlin Bian, Jianguo Liu, Lin Li, Junxin Liu
Publikováno v:
Journal of Environmental Management. 342:118194
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9f54ec3c61affc334d7e630946478bec
https://doi.org/10.1016/j.jenvman.2023.118194
https://doi.org/10.1016/j.jenvman.2023.118194
Publikováno v:
ACS Catalysis. 12:1601-1613
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a7ade5d4616b43a82d5c74988ef18c3d
https://doi.org/10.1021/acscatal.1c04815
https://doi.org/10.1021/acscatal.1c04815
Autor:
Rong Ren, Liting Yang, Zhang Lin, Xiaoyu Li, Shuomeng Zhang, Tianlong Zheng, Duojie Wu, Jian Wang, Zidong Wei, Wei Ding, Ning Huang, Meng Gu, Qinggang He
Publikováno v:
Journal of Materials Chemistry A. 10:22781-22790
Symbiotic ion channels were constructed in covalent framework catalysts to improve ionic mass transfer in the AEMFC cathodic catalyst layer.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::77699314abd5717851efc9cfbca460f1
https://doi.org/10.1039/d2ta06228c
https://doi.org/10.1039/d2ta06228c