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Guoyin Li on Muck Rack

Guoyin Li

As seen in: BMC Cancer, Dialnet - Universidad de La Rioja
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Articles

Proposal of a Fire Loading Curve for Engineering Structures Subjected to Grassland Fires

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By Junxing Li, Qihan Wang, Xiaojun Chen, Guoyin Li
| ascelibrary.org
Data Availability Statement Some or all data, models, or code that support the findings of this study are available from the corresponding author upon reasonable request. Acknowledgments The work presented in this paper has been supported by Australian Research Council projects IH210100048, DP210101353, and DP240102559. Author Contributions Junxing Li: Conceptualization; Formal analysis; Investigation; Methodology; Resources; Software; Validation; Visualization; Writing – original draft.
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Is clinical target volume necessary for locally advanced non-small cell lung cancer treated with 4D-CT intensity-modulated radiation therapy - BMC Cancer

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By Wenxin Ding, Ji Shou, Shaanxi Normal, Zhoukou Normal, Tian Xu, Hui Xiang, Jing Liang, Weiwei Liang, Nan Xiang, Guoyin Li, Zewen Song, Jingsheng Zhao
| BMC Cancer Verified
The Institutional Review Board (IRB) of the Xiangxi Autonomous Prefecture People’s Hospital had waived the requirement for written approval of this study and the need for consent to participate since this was a retrospective study on radiation dosimetry and individual patients was not affected. All patients diagnosed with stage III NSCLC and received definitive 4D-CT IMRT in the Xiangxi Autonomous Prefecture People’s Hospital from Jan 1, 2023 to May 31, 2023 were enrolled.
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MATLAB-based simulation of industrial robots in water environment monitoring

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By Ying Jin, Xiaofeng Jin, Guoyin Li
| Dialnet - Universidad de La Rioja
MATLAB-based simulation of industrial robots in water environment monitoring Autores: Guoyin Li, Ying Jin, Xiaofeng Jin Localización: Applied Mathematics and Nonlinear Sciences, ISSN-e 2444-8656, Vol. 9, Nº. 1, 2024 Idioma: inglés Enlaces Texto completo Resumen The use of industrial robots based on MATLAB simulation for water environment monitoring is to monitor the water environment better, improve monitoring efficiency and reduce monitoring costs.
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