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2,594 results on '"Zhang, Xiangyang"'

256. Melatonin treatment as an anti-aging therapy for UV-related degradation of perovskite solar cells.

Author

Liu, Fei, Valencia, Agnes, Zhu, Yuhua, Zhang, Xiangyang, Li, Weilu, and Daoud, Walid A.

Abstract

Perovskite solar cells exhibit immense potential for practical use due to their high power conversion efficiency (PCE) and low fabrication cost. However, UV light is an unavoidable threat to long-term stability as it promotes undesirable chemical reactions within the cells. Herein, we introduce N-acetyl-5-methoxy-tryptamine (melatonin), a natural product with antioxidative properties, for the UV protection of perovskite, attributable to its ability to absorb UV light and scavenge radicals. Additionally, the defects in perovskite are effectively passivated due to interactions between perovskite and melatonin. Consequently, the photovoltaic performance is enhanced due to reduced defect density in the perovskite and the improved charge transport from the perovskite layer to the charge transport layer. Furthermore, the devices fabricated using this strategy demonstrate an outstanding storage stability, retaining 85% of the initial PCE after 2225 hours of storage in air (unencapsulated, 20–30 °C, RH ∼30%), and UV endurance, sustaining 70.86% of the original PCE after UV illumination for 617 hours in air. [ABSTRACT FROM AUTHOR]

Published
2024
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258. Real‐time prediction and ponding process early warning method at urban flood points based on different deep learning methods.

Author

Zhou, Yihong, Wu, Zening, Jiang, Mengmeng, Xu, Hongshi, Yan, Denghua, Wang, Huiliang, He, Chentao, and Zhang, Xiangyang

Subjects
DEEP learning, FLOOD damage, STANDARD deviations, RAINFALL, FLOOD control, WATERLOGGING (Soils)
Abstract

Accurate prediction of urban floods is regarded as one of the critical means to prevent urban floods and reduce the losses caused by floods. In this study, a refined prediction and early warning method system for urban flood and waterlogging processes based on deep learning methods is proposed. The spatial autocorrelation of rain and ponding points is analyzed by Moran's I (a common used statistic for spatial autocorrelation). For each ponding point, the relationship model between the rainfall process and ponding process is constructed based on different deep learning methods, and the results are analyzed and verified by mean absolute error (MAE), root mean square error (RMSE), Nash efficiency coefficient (NSE) and correlation coefficient (CC). The results show that the gradient boosting decision tree algorithm has the highest accuracy and efficiency (with a 0.001 m RMSE of the predicted and measured ponding depth) for ponding process prediction and is regarded as the most suitable method for ponding process prediction. Finally, the real‐time prediction and early warning of urban floods and waterlogging processes driven by rainfall forecast data are realized, and the results are verified by the measured data. The research results can provide theoretical support for urban flood prevention and control. [ABSTRACT FROM AUTHOR]

Published
2024
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262. Acute effect of twice-daily 15 mA transcranial alternating current stimulation on treatment-resistant depression: a case series study

Author

Zhao, Wenfeng, primary, Wang, Huang, additional, Leng, Haixia, additional, Xue, Qing, additional, Peng, Mao, additional, Jin, Xiukun, additional, Tan, Liucen, additional, Pan, Na, additional, Wang, Xuedi, additional, Wang, Jie, additional, Gao, Keming, additional, Zhang, Xiangyang, additional, and Wang, Hongxing, additional

Published
2023
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263. Inter-relationships of insomnia and psychiatric symptoms with suicidal ideation among patients with chronic schizophrenia: A network perspective

Author

Peng, Pu, primary, Wang, Qianjin, additional, Zhou, Yanan, additional, Hao, Yuzhu, additional, Chen, Shubao, additional, Wu, Qiuxia, additional, Li, Manyun, additional, Wang, Yunfei, additional, Yang, Qian, additional, Wang, Xin, additional, Liu, Yueheng, additional, Ma, Yuejiao, additional, Li, He, additional, Liu, Tieqiao, additional, and Zhang, Xiangyang, additional

Published
2023
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294. Differences in the prevalence and clinical correlates of depressive symptoms in male patients with methamphetamine and heroin use disorder in a Chinese Han population

Author

Zhu, Rongrong, primary, Wang, Dongmei, additional, Fan, Fusheng, additional, Fu, Fabing, additional, Wei, Dejun, additional, Tang, Shanshan, additional, Tian, Yang, additional, Chen, Jiajing, additional, Li, Yuqing, additional, Zhou, Huixia, additional, Wang, Li, additional, and Zhang, Xiangyang, additional

Published
2023
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