Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Zichen Dong"'
Publikováno v:
Water, Vol 10, Iss 1, p 13 (2017)
Chlorobenzene (CB), as a typical Volatile Organic Contaminants (VOC), is toxic, highly persistent and easily migrates in water, posing a significant risk to human health and subsurface ecosystems. Therefore, exploring effective approaches to remediat
Externí odkaz:
https://doaj.org/article/a7223ea235f343b7a9fe362baab6bb8f
Publikováno v:
Catalysis Science & Technology. 13:1258-1280
This review provides an overview of catalytic hydroconversion processes including hydrocracking, hydrogenolysis and hydrodeoxygenation for upcycling of plastic wastes into fuels and valuable chemicals.
Autor:
Yun Hai, Hao Wang, Youyu Qiu, Renchao Huang, Liufang Zhao, Hongyang Xu, Zichen Dong, Lu Zhang, Weidi Sun, Shiwen Zhang
Publikováno v:
Bioengineered, Vol 13, Iss 2, Pp 3262-3274 (2022)
It reported that heat generated by near-infrared laser irradiation of gold nanorods (AuNRs) effectively inhibited tumor cells, and the conjugate of epidermal growth factor receptor monoclonal antibody (EGFRmAb) and gold nanorods could selectively bin
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems. 22:747-757
Motivated by the increasing need of the real-world patrolling, this paper studies a practical city-scale patrolling (CSP) variant. In CSP, the police are scheduled to patrol city regions, and the objective is not only to protect public security but a
Publikováno v:
IFIP Advances in Information and Communication Technology ISBN: 9783031039478
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::96dcb3417d3c9789ad1fa8925368ad49
https://doi.org/10.1007/978-3-031-03948-5_15
https://doi.org/10.1007/978-3-031-03948-5_15
Autor:
Zhenzhen Qin, Fengxia Li, Fuqiang Yuan, Meihong Wang, Zichen Dong, Yiming Lang, Zenghui Gao, Lijuan Huo, Yaqiong Zhang, Kai Zhang, Yapeng Zhang, Leixue Shen
Publikováno v:
Digestive and liver disease : official journal of the Italian Society of Gastroenterology and the Italian Association for the Study of the Liver. 52(5)
Background The sensitivity of endoscopy in diagnosing chronic atrophic gastritis is only 42%, and multipoint biopsy, despite being more accurate, is not always available. Aims This study aimed to construct a convolutional neural network to improve th