Publications by authors named "Ya-Guang Li"
[Big Data Management and Application: Specialty Construction Overview and Exploration of Personnel Training System in Medical Schools].
Sichuan Da Xue Xue Bao Yi Xue Ban
September 2022
Focusing on the undergraduate specialty construction of big data management and application in medical colleges and universities in the context of New Medical Education, we first analyzed, in this paper, the demand for trained personnel of this specialization and the status of program construction at the national and regional levels. Then, taking Anhui Medical University as an example, a key medical university in Anhui Province, we introduced the preparations made by medical colleges and universities to set up big data management and application specialty. Finally, from the perspectives of the objectives of personnel training, curriculum system, and practical teaching system, we presented in detail the exploratory efforts made by Anhui Medical University to construct a training system for personnel specializing in big data management and application.
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- This study investigated how silencing the TUSC3 gene affects the growth and sensitivity to radiation in human lung cancer (A549) cells under low oxygen (hypoxic) conditions.
- It established a hypoxic model using varying concentrations of CoCl and observed that increased TUSC3 levels hinder cell growth while promoting apoptosis (cell death).
- The findings showed that silencing TUSC3 not only inhibited cell proliferation but also increased the sensitivity to radiation treatment and enhanced autophagy in these hypoxic cancer cells.
Background: The purpose of this study was to explore the effectiveness and safety of three-dimensional (3D) digitalized planning for the sural neurovascular island flap in repair of soft tissue defects in the ankle and foot.
Methods: This study included 40 patients with soft tissue defects of the ankle and foot who underwent soft tissue reconstruction between October 2008 and June 2012. The patients were randomly assigned into two groups: 3D-reconstruction group (Group A, n=20) and control group (Group B, n=20).