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Linh, Nguyen Ngoc
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Civil Engineering, Building, Construction & Architecture Dentistry Health Professions Immunology & microbiology Medicine & Pharmacology Nursing Public Health

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Double-Curvature Test of Reinforced Concrete Columns Using Shaking Table: A New Test Setup Linh, Nguyen Ngoc; Van Hung, Nguyen; Xuan Huy, Nguyen; Cuong, Le Minh; Xuan Dat, Pham
Civil Engineering Journal Vol 5, No 9 (2019): September
Publisher : Salehan Institute of Higher Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (2146.135 KB) | DOI: 10.28991/cej-2019-03091378

Abstract

This paper proposes a new test setup to study the double-curvature behavior of reinforced concrete (RC) columns using shaking table. In this setup, the seismic action is simulated by the horizontal movement of a long-heavy rigid mass sitting on the top of only one test specimen. The double-curvature mechanism of specimen is affected by the movement of the concrete mass on a test rig consisting four steel hollow-section columns fully anchored to the shaking table. Application of axial load on the specimen is made possible through a pre-stressing equipment connecting to its top and bottom bases. The current setup offers two improvements over the previous ones. First, it makes available greater ranges of test data for conducting bigger sizes of the specimens. Second, it allows to directly measure the variation of axial force in the test specimens while the test implementation can be fast and easy with a high safety margin even until the complete collapse of the test units. The current test setup has been successfully applied on two ½ scaled V-shaped columns. It has been shown that the column specimen with a low axial load level of 0.05f’cAg, where f’c is the concrete strength and Ag is the cross-sectional area of the specimen, can well survive at a ground peak acceleration up to 5.5 (m/s2) with a drift ratio of approximately 2.91%. Meanwhile, the column subjected to moderate axial load level of 0.15f’cAg can survive at a higher ground peak acceleration of 8.0 (m/s2) with a drift ratio of 3.75%. Furthermore, it is experimentally evidenced that the V-shaped cross-section does not deform in-plane under seismic action. The angle between two planes corresponding to the column web and flange are up to 0.03 (rad). This finding is significant since it contradicts the plane strain assumption available in the current design practice.
ChatGPT Usage for Academic Purposes and Influencing Factors Among Students at Hanoi Medical University, Vietnam Kieu, Luu Thi Thu; Vinh, Phan Huu; Mai, Nguyen Thi; Linh, Trinh Khanh; Dai, Tran Xuan; Hanh, Tran Ngan; Linh, Nguyen Ngoc; Hang, Le Thanh; Giang, Hy Minh; Anh, Vu Thi Phuong; Thanh, Pham Cong; Son, Dang Cong; Dat, Le Minh
Health Dynamics Vol 2, No 5 (2025): May 2025
Publisher : Knowledge Dynamics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33846/hd20502

Abstract

Background: The advancement of artificial intelligence (AI) has unveiled numerous opportunities in medical education, with ChatGPT emerging as a prevalent learning support tool. However, the adoption rate and the determinants associated with the integration of ChatGPT among medical students remain under-researched. Methods: A cross-sectional study was conducted on 335 medical students at Hanoi Medical University. Data was collected using an online questionnaire in KoboToolbox, employing a convenience sampling method. The data was analyzed using Stata 17.0, employing descriptive statistics and multivariate logistic regression to examine the relationship between demographics, knowledge, and attitudes toward ChatGPT. Results: The results showed that 73.4% of students had used ChatGPT, with 68.7% using it to complete assignments and 61% believing that the tool helped save time and effort. However, only 17.9% were aware of ChatGPT's limitations. Positive knowledge and attitudes towards ChatGPT increased the likelihood of using the tool. Students with a good academic performance level were 3.25 times more likely to use ChatGPT than excellent students (OR=3.25; p=0.013), and the Dentistry department had the highest usage rate, 4.53 times higher than the General Medicine department. Conclusion: Medical students use GPT chat at a comparatively high rate. Integrating this tool into medical education requires specific guidelines to maximize benefits while ensuring accuracy and ethics.
Co-Authors Anh, Vu Thi Phuong Cuong, Le Minh Dai, Tran Xuan Dat, Le Minh Giang, Hy Minh Hang, Le Thanh Hanh, Tran Ngan Kieu, Luu Thi Thu Linh, Trinh Khanh Nguyen Thi Mai, Nguyen Thi Pham Cong Thanh Son, Dang Cong Van Hung, Nguyen Vinh, Phan Huu Xuan Dat, Pham Xuan Huy, Nguyen