Zobrazeno 1 - 10
of 240
pro vyhledávání: '"Lingyun HUANG"'
Publikováno v:
Water Science and Technology, Vol 90, Iss 3, Pp 1033-1046 (2024)
The water–rock interactions significantly affect the dissolution and release of dissolved organic matter (DOM) during the reinjection of mine water into the underground reservoir. In this study, the surface characteristics and chemical composition
Externí odkaz:
https://doaj.org/article/adea8c313e9e4ec3aa7f363e6051ec94
Publikováno v:
Journal of Flood Risk Management, Vol 17, Iss 4, Pp n/a-n/a (2024)
Abstract The traditional flood hazard assessment system for emergency departments is based on the average hazard index of administrative regions. However, this approach may overlook errors with significant hazards caused by the transition from waters
Externí odkaz:
https://doaj.org/article/d1b961214aec4b1fae9d3981480ddfbe
Autor:
Lihua Zhang, Yuqing Zhou, Shengzhi Jiang, Yubei Fan, Jierou Huang, Bin Xiao, Hui Rao, Lingyun Huang
Publikováno v:
European Journal of Medical Research, Vol 28, Iss 1, Pp 1-8 (2023)
Abstract Objective The traditional treatment of rheumatoid arthritis (RA) has some side effects. We aimed to explore the effect of metformin treatment on the expression of HMGB1, cytokines, T cell subtypes and the clinical outcomes in RA patients. Me
Externí odkaz:
https://doaj.org/article/a7b0ab5742a14c1880382792a2584d84
Autor:
Xiaotong Gao, Songwei Li, Xiaotong Su, Yan Li, Lingyun Huang, Weidong Tang, Yuanchen Zhang, Min Dong
Publikováno v:
Agriculture, Vol 14, Iss 7, p 1098 (2024)
In this study, a deep learning-based system for apple defect detection and quality grading was developed, integrating various advanced image-processing technologies and machine learning algorithms to enhance the automation and accuracy of apple quali
Externí odkaz:
https://doaj.org/article/4e27bc5283bb4934aeb5a26e4def9b3d
Autor:
Xianghua Ye, Dazhou Guo, Jia Ge, Senxiang Yan, Yi Xin, Yuchen Song, Yongheng Yan, Bing-shen Huang, Tsung-Min Hung, Zhuotun Zhu, Ling Peng, Yanping Ren, Rui Liu, Gong Zhang, Mengyuan Mao, Xiaohua Chen, Zhongjie Lu, Wenxiang Li, Yuzhen Chen, Lingyun Huang, Jing Xiao, Adam P. Harrison, Le Lu, Chien-Yu Lin, Dakai Jin, Tsung-Ying Ho
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-15 (2022)
Accurate organ at risk (OAR) segmentation is critical to reduce the radiotherapy post-treatment complications. Here, the authors develop an automated OAR segmentation system to delineate a comprehensive set of 42 H&N OARs.
Externí odkaz:
https://doaj.org/article/1ab967b1b083436aa371fefb23939ea9
Autor:
Lihua Zhang, Yuqing Zhou, Shengzhi Jiang, Yubei Fan, Jierou Huang, Bin Xiao, Hui Rao, Lingyun Huang
Publikováno v:
European Journal of Medical Research, Vol 28, Iss 1, Pp 1-1 (2023)
Externí odkaz:
https://doaj.org/article/9ad64a3dfbda4254a593cfdaf525dd77
Autor:
Mengbo Dai, Yongcheng Zhou, Qingfei Xiao, Jinfang Lv, Lingyun Huang, Xian Xie, Yiming Hu, Xiong Tong, Tiejun Chun
Publikováno v:
Materials, Vol 16, Iss 21, p 6884 (2023)
Extracting iron while minimizing the health and environmental risks associated with arsenic contamination necessitates the removal of arsenic from arsenic-bearing iron ores to ensure a safe and sustainable supply of this metal for industries. The ben
Externí odkaz:
https://doaj.org/article/6b482926c72545a4be04606c2f4a8328
Autor:
Liping Luo, Houqin Wu, Longhua Xu, Jinping Meng, Jiahui Lu, Huan Zhou, Xiaomei Huo, Lingyun Huang
Publikováno v:
International Journal of Mining Science and Technology, Vol 31, Iss 4, Pp 689-697 (2021)
This paper researched the enhanced flotation separation performance of ilmenite and titanaugite using the mixed collector benzhydroxamic acid/dodecylamine (BHA/DDA). The interface assembly mechanism was mainly investigated through in situ attenuated
Externí odkaz:
https://doaj.org/article/7a72cd6cff3749489e0fbc0cf6d5ea6c
The Role of Self-Improving Tutoring Systems in Fostering Pre-Service Teacher Self-Regulated Learning
Autor:
Lingyun Huang, Laurel Dias, Elizabeth Nelson, Lauren Liang, Susanne P. Lajoie, Eric G. Poitras
Publikováno v:
Frontiers in Artificial Intelligence, Vol 4 (2022)
Computer-based learning environments serve as a valuable asset to help strengthen teacher preparation and preservice teacher self-regulated learning. One of the most important advantages is the opportunity to collect ambient data unobtrusively as obs
Externí odkaz:
https://doaj.org/article/c15be615aa93463fa00fc6e5fbb28863
Autor:
Xianghua Ye, Dazhou Guo, Chen-Kan Tseng, Jia Ge, Tsung-Min Hung, Ping-Ching Pai, Yanping Ren, Lu Zheng, Xinli Zhu, Ling Peng, Ying Chen, Xiaohua Chen, Chen-Yu Chou, Danni Chen, Jiaze Yu, Yuzhen Chen, Feiran Jiao, Yi Xin, Lingyun Huang, Guotong Xie, Jing Xiao, Le Lu, Senxiang Yan, Dakai Jin, Tsung-Ying Ho
Publikováno v:
Frontiers in Oncology, Vol 11 (2022)
BackgroundThe current clinical workflow for esophageal gross tumor volume (GTV) contouring relies on manual delineation with high labor costs and inter-user variability.PurposeTo validate the clinical applicability of a deep learning multimodality es
Externí odkaz:
https://doaj.org/article/5f7ed8fc13024f389b266fe50ea57f9c