Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Chenjun Su"'
Characterization of microbial community and antibiotic resistome in intra urban water, Wenzhou China
Autor:
Sheng Ye, Shengkai Li, Chenjun Su, Zhuqing Shi, Heng Li, Jiawen Hong, Shengke Wang, Jingyan Zhao, Weiji Zheng, Shixuan Dong, Shuhan Ye, Yongliang Lou, Zhemin Zhou, Jimei Du
Publikováno v:
Frontiers in Microbiology, Vol 14 (2023)
The present study investigated the water quality index, microbial composition and antimicrobial resistance genes in urban water habitats. Combined chemicals testing, metagenomic analyses and qualitative PCR (qPCR) were conducted on 20 locations, incl
Externí odkaz:
https://doaj.org/article/f97b734a67dd4bb1b30e7714c5c32aed
Publikováno v:
Pathogens, Vol 12, Iss 4, p 549 (2023)
Staphylococcus aureus is an opportunistic pathogen that causes invasive infections in humans. In recent years, increasing studies have focused on the prevalence of S. aureus infections in adults; however, the epidemiology and molecular characteristic
Externí odkaz:
https://doaj.org/article/e6bdde771b194a0fae556607164c3922
Publikováno v:
MATEC Web of Conferences; 2024, Vol. 395, p1-10, 10p
Autor:
Chenjun Su
Publikováno v:
Second International Conference on Biological Engineering and Medical Science (ICBioMed 2022).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::08cd6c7e7a564acc313e8df864bf89c7
https://doi.org/10.1117/12.2669373
https://doi.org/10.1117/12.2669373
Publikováno v:
Discover Oncology, Vol 15, Iss 1, Pp 1-11 (2024)
Abstract Background Traditional survival analysis is frequently used to assess the prognosis of ependymomas (EPNs); however, it may not provide additional survival insights for patients who have survived for several years. Thus, the conditional survi
Externí odkaz:
https://doaj.org/article/b434142b0c704fc5bc47ead8fdb97f3b
Medium‐term load forecasting of power system based on BiLSTM and parallel feature extraction network
Publikováno v:
IET Generation, Transmission & Distribution, Vol 18, Iss 1, Pp 190-201 (2024)
Abstract With the diversification of users’ energy demands, accurate load forecasting is an important prerequisite for optimal scheduling and economic operation of the system, but a single‐load forecasting method cannot effectively predict multi
Externí odkaz:
https://doaj.org/article/fff520cf9c4e42099b44b168ddbe8119
Publikováno v:
2017 IEEE 2nd Advanced Information Technology, Electronic and Automation Control Conference (IAEAC).
The UAV intelligence support mode is studied in the article in order to improve the ability of intelligence support in the battlefield. Three kinds of UAV intelligence distribution mode are put forward and their advantages and disadvantages are analy
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b0778f50006551421030e3f984d3dfc1
https://doi.org/10.1109/iaeac.2017.8054346
https://doi.org/10.1109/iaeac.2017.8054346
Publikováno v:
IEEE Access, Vol 7, Pp 58626-58637 (2019)
Due to the development of intelligent electric devices and advanced metering infrastructures, demand response will be widely utilized in the trading of the electricity market and maintain energy balance of the power system. In this paper, a two-stage
Externí odkaz:
https://doaj.org/article/27c986af9a20475aa26cfd6a155ef4a0
Publikováno v:
CSEE Journal of Power and Energy Systems, Vol 4, Iss 3, Pp 339-351 (2018)
For an innovative spiral spring energy storage system, the permanent magnet synchronous generator (PMSG) is utilized as the energy conversion device due to its simple structure, low weight and high torque. During power generation, the output torque a
Externí odkaz:
https://doaj.org/article/236b7f34ecb34f9eb11c3b151db0cdc2
Publikováno v:
IEEE Access, Vol 6, Pp 67799-67808 (2018)
With the development of smart grid and active distribution network, the flexible load recourse would play a key role in the electricity market. In this paper, we proposed a framework that the distributed storage energy systems, electric vehicles, and
Externí odkaz:
https://doaj.org/article/902044b939e44e88819d0c4e39081351