Zobrazeno 1 - 10
of 1 420
pro vyhledávání: '"WU Zhu"'
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 135, Iss , Pp 104300- (2024)
The efficient and automated identification of landslide hazards is essential for socio-economic development and human safety. Integrating the feature extraction capabilities of deep learning with the millimeter-level precision of Interferometric Synt
Externí odkaz:
https://doaj.org/article/ad3fdba0cfc7486aacb267954e716430
Autor:
Xingyu Li, Xiaowen Xie, Jiashuai Li, Jingjin Hu, Kun Hu, Minjia Tan, Jing Yang, Sichun Deng, Yijie Liu, Mi Zhang, Yehong Kuang, Junchen Chen, Liqiu Liao, Wu Zhu
Publikováno v:
Journal of Dermatological Treatment, Vol 35, Iss 1 (2024)
Background As one of the most effective biologic treatments for psoriasis, the short-term effectiveness of ustekinumab has yet to be studied extensively.Objective The purpose of this study was to evaluate the short-term effectiveness and potential fa
Externí odkaz:
https://doaj.org/article/ee355a76118345e894769948296815dc
Autor:
Bo Chen, Zhenhong Li, Chuang Song, Chen Yu, Wu Zhu, Zhenjiang Liu, Bingquan Han, Jiantao Du, Chenglong Zhang, Fu Xu, Jianbing Peng
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 131, Iss , Pp 103995- (2024)
With the escalation of global climate change and human activity, geohazards become increasingly frequent which cause severe casualties and property losses to local communities. To alleviate this situation and provide scientific guidance for risk redu
Externí odkaz:
https://doaj.org/article/1dcde47f3383473e893e4ebbc228e8f6
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 2828-2837 (2024)
Deep learning techniques have been widely adopted in landslide detection by offering powerful feature extraction capabilities and automated processes. However, the pursuit of higher accuracy has led to increasingly complex network structures, which l
Externí odkaz:
https://doaj.org/article/6fd3ee2ba69f47c6957eea27a6d141dd
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 129, Iss , Pp 103802- (2024)
The mountainous areas of Southwest China are crucial regions for hydropower resource development. The unique geological environment and numerous constructed hydropower stations make landslides the primary geological hazard for the region. Therefore,
Externí odkaz:
https://doaj.org/article/318799c66f4c4ce0a4bdc9e4b6f8aa94
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 129, Iss , Pp 103801- (2024)
The active thickness of the translational landslides plays a pivotal role in evaluating its hazards and simulating its instability. Existing techniques have difficulties in estimating the accurate active thickness due to the limitations of observatio
Externí odkaz:
https://doaj.org/article/ae51303525c8428cbcfb5caf17fc4b1c
Publikováno v:
Dermatology and Therapy, Vol 13, Iss 10, Pp 2331-2343 (2023)
Abstract Introduction Previous studies have proposed a possible gut–skin axis, and linked gut microbiota to psoriasis risks. However, there is heterogeneity in existing evidence. Observational research is prone to bias, and it is hard to determine
Externí odkaz:
https://doaj.org/article/03067e68a6f9453ea3148ed737cb7714
Publikováno v:
Clinical and Translational Medicine, Vol 14, Iss 2, Pp n/a-n/a (2024)
Externí odkaz:
https://doaj.org/article/716e5ad4488f4c3f88c85f1305cc9db4
Autor:
Min-Jia Tan, Yan Luo, Jing-Jin Hu, Qiao-Lin Wang, Li-Cong Xu, Kun Hu, Xing-Yu Li, Jing Yang, Jun-Chen Chen, Ye-Hong Kuang, Wu Zhu
Publikováno v:
International Journal of Dermatology and Venerology, Vol 6, Iss 2, Pp 67-71 (2023)
Objective:. Up to 85.3% of patients with psoriasis experience sleep disturbance (SD). However, SD has not been characterized in Chinese patients with psoriasis, and the factors that affect SD among adult patients with psoriasis remain unclear. This s
Externí odkaz:
https://doaj.org/article/82358567595d4fa39187195db46cc0ba
Autor:
Meiling Zhou, Zhenhong Li, Meiling Gao, Wu Zhu, Shuangcheng Zhang, Jingjing Ma, Liangyu Ta, Guijun Yang
Publikováno v:
Remote Sensing, Vol 16, Iss 11, p 2018 (2024)
The Yellow River Basin (YB) acts as a key barrier to ecological security and is an important experimental region for high-quality development in China. There is a growing demand to assess the ecological status in order to promote the sustainable deve
Externí odkaz:
https://doaj.org/article/65f6b489666b4e68bbb270eb095ed5b8