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Akademický článek

The Impact of Shuangjiangkou Hydropower Station on the Joint Dispatch of Power Generation and Navigation for Downstream Cascade Reservoirs

Autor: YANG Yi, XU Wei, XIE Zaichao, LI Xiaojie, WANG Sufan

Publikováno v: Renmin Zhujiang, Vol 45, Pp 56-63 (2024)

In this study, the Minjiang River Basin is selected as the research object, and the construction and operation of Shuangjiangkou Hydropower Station is taken as the time division basis, the SWAT hydrological model and the joint operation model of rese

Externí odkaz: https://doaj.org/article/e44e0d00b4e14e959b382f031ed2f046

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Akademický článek

Water Supply Scheduling for Cross-basin Reservoir Groups Based on Improved Scheduling Diagram

Autor: ZHAO Siqi, XU Wei, CHEN Si, WANG Sufan, YANG Yi

Publikováno v: Renmin Zhujiang, Vol 44 (2023)

To exploit the scheduling potential of cross-basin reservoir groups by employing runoff information,this paper proposes an improved reservoir scheduling diagram to retain simplicity and intuitiveness.Taking the Xiajiankou,Fengyan,and Nanpeng reservoi

Externí odkaz: https://doaj.org/article/95d5bae669384537854d89624a65e3ab

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Akademický článek

Facile synthesis of a two-photon absorption fluorophore with aggregation-induced emission, lipid droplet-targeting characteristics for combination phototherapy of osteosarcoma through synergistic cell apoptosis and ferroptosis

Autor: Deng, Xiepeng, Liu, Yuanyuan, Xie, Dalu, Shang, Wenzhao, Wang, Sufan, Tang, Ben Zhong, Wang, Chengzeng, Su, Huifang

Publikováno v: In Chemical Engineering Journal 1 January 2025 503

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Akademický článek

Associations of prediabetes and sleep duration, and inflammation as a mediator in the China Health and Retirement Longitudinal Study

Autor: Duan, Yanran, Fu, Hang, Gao, Jinghong, Wang, Sufan, Chen, Changying, Zhao, Yaojun, Jiang, Shuai, Wang, Chengzeng

Publikováno v: In Sleep Health: Journal of the National Sleep Foundation August 2024 10(4):470-477

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Akademický článek

The Applications of Big Data and Artificial Intelligence in the Prevention and Control of COVID-19 from the Perspective of Haddon Model

Autor: GAO Jinghong, WANG Yanyan, JIANG Shuai, FU Hang, DUAN Yanran, WANG Sufan, WANG Chengzeng

Publikováno v: Zhongguo quanke yixue, Vol 27, Iss 01, Pp 111-117 (2024)

Big data and artificial intelligence technologies have played a positive role in the prevention and control of COVID-19 outbreaks. However, its application and future trends has not been comprehensively discussed. Starting from the problems faced by

Externí odkaz: https://doaj.org/article/c79a6fe7731e4d199441d154c189666f

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