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Akademický článek

Relation between dysfunctional attitude and depressive symptoms in adolescents： the acting path of negative automatic thoughts and positive coping style

Autor: Hou Yating, Yan Danfeng, Jiang Limei, Sun Zhenjie, Na Long

Publikováno v: Sichuan jingshen weisheng, Vol 37, Iss 2, Pp 125-130 (2024)

BackgroundThe prevalence of depressive disorder in adolescents is on the rise. There have been studies on the pairwise relations between dysfunctional attitude， negative automatic thoughts， positive coping style and depressive symptoms in the pas

Externí odkaz: https://doaj.org/article/7b5d7a202aa847df8a9de7f11b470d6e

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Akademický článek

Effect of fluvoxamine on lipid metabolism in hospitalized adolescent patients with depressive disorder

Autor: Jiao Zhipeng, Yan Danfeng, Wang Binhong

Publikováno v: Sichuan jingshen weisheng, Vol 37, Iss 2, Pp 102-107 (2024)

BackgroundFluvoxamine is increasingly used in the treatment for depressive disorder in adolescents. However， little research has been done on the effect of fluvoxamine on lipid metabolism， and the disordered lipid metabolism would cause severe ha

Externí odkaz: https://doaj.org/article/9c779a3f487449fba59b05037fbbe815

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reCSE: Portable Reshaping Features for Sentence Embedding in Self-supervised Contrastive Learning

Autor: Zhao, Fufangchen, Gao, Jian, Yan, Danfeng

We propose reCSE, a self supervised contrastive learning sentence representation framework based on feature reshaping. This framework is different from the current advanced models that use discrete data augmentation methods, but instead reshapes the

Externí odkaz: http://arxiv.org/abs/2408.04975

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Akademický článek

Subway Passenger Flow Forecasting With Multi-Station and External Factors

Autor: Yan Danfeng, Wang Jing

Publikováno v: IEEE Access, Vol 7, Pp 57415-57423 (2019)

With the rapid development of urban rail transit, more and more people choose to travel by subway. Therefore, accurate passenger flow forecasting is of great significance for passengers and municipal construction and contributes to smart city service

Externí odkaz: https://doaj.org/article/a7a4f253e42347f28f63c424f4e1ec3e

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Uni-Removal: A Semi-Supervised Framework for Simultaneously Addressing Multiple Degradations in Real-World Images

Autor: Zhang, Yongheng, Yan, Danfeng, Cai, Yuanqiang

Removing multiple degradations, such as haze, rain, and blur, from real-world images poses a challenging and illposed problem. Recently, unified models that can handle different degradations have been proposed and yield promising results. However, th

Externí odkaz: http://arxiv.org/abs/2307.05075

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