
Yang Lv
Articles
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2 months ago |
nature.com | Mengru Li |Yang Lv |Min Wu |Yongming Pu
This study aims to develop and evaluate an interactive learning system for children. Through mixed-method research, combined with quantitative and qualitative data analysis, this study provides a comprehensive evaluation of the educational effectiveness of the system. The study involves children in grades 1–6, and data on learning effectiveness before and after using the system are collected through pre-experiments and formal experiments. The results of the quantitative analysis show that after using the system, the average improvement rates for students in grades 1–3 and 4–6 are 24.6% and 22.2% in mathematics and 28.1% and 26.8% in science. The average response time of the system is 1.77 s, with the longest response time being 3.1 s. User satisfaction reaches 94%, and the error rate is 0.2%. These results demonstrate that the developed learning system significantly impacts children’s learning effectiveness and optimizing user experience.
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Nov 9, 2024 |
onlinelibrary.wiley.com | Wei Zhang |Yang Lv |Qiang Niu |Can Zhu
Conflict of Interest The authors declare no conflict of interest. Supporting Information Filename Description smll202406356-sup-0001-SuppMat.docx14.3 MB Supporting Information References 1, , , , , , , , , , , , , ACS Nano 2023, 17, 15568. 2, , , , , , , , , , Adv. Healthcare Mater. 2024, 13, 2303548. 3, , , , , , , , , , Nat. Commun. 2024, 15, 233. 4, , , , , , , , , ACS Appl. Mater. Interfaces 2018, 10, 193. 5, , , , , , , , , , , Nano Today 2022, 42, 101368.
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Sep 16, 2024 |
nature.com | Yang Lv
AbstractTo evaluate changes in dry eye-related parameters after posterior chamber phakic refractive lens (PC-PRL) implantation. This prospective study included 21 highly myopic patients (39 eyes) who underwent PC-PRL implantation at Lanzhou Huaxia Eye Hospital between January 2021 and June 2022, with a 3-month postoperative follow-up. In addition to routine preoperative examinations, dry eye assessments were conducted preoperatively and at 1 week, 1 month, and 3 months postoperatively.
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Jun 21, 2024 |
mdpi.com | Yin S. Li |Yang Lv |Jian Guo |Yubo Wang
1. IntroductionThe accurate prediction and timely management of plant pests and diseases are crucial for ensuring sustainable agriculture, food security, and environmental protection. The advent of advanced technologies, especially in the field of data analytics and machine learning, has provided new opportunities for enhancing the prediction and management of these agricultural threats.
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Apr 28, 2024 |
mdpi.com | Yi Zhang |Xinyu Liu |Yang Lv
All articles published by MDPI are made immediately available worldwide under an open access license. No specialpermission is required to reuse all or part of the article published by MDPI, including figures and tables. Forarticles published under an open access Creative Common CC BY license, any part of the article may be reused withoutpermission provided that the original article is clearly cited. For more information, please refer tohttps://www.mdpi.com/openaccess.
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