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21,213 results on '"Sun, Hong"'

216. Chemoembolization combined radiofrequency ablation vs. chemoembolization alone for treatment of beyond the Milan criteria viable hepatocellular carcinoma (CERFA): study protocol for a randomized controlled trial

Author

Lee, Soon Kyu, Yang, Hyun, Kwon, Jung Hyun, Shim, Dong Jae, Kim, Doyoung, Nam, Soon Woo, Yoo, Sun Hong, Bae, Si Hyun, Lee, Ahlim, Lee, Young Joon, Jeon, Changho, Jang, Jeong Won, Sung, Pil Soo, Chun, Ho Jong, Kim, Su Ho, Choi, Joon-Il, Oh, Jung Suk, and Yang, Yun-Jung

Published
2023
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220. Predicting Critical Nodes in Temporal Networks by Dynamic Graph Convolutional Networks

Author

Yu, En-Yu, Fu, Yan, Zhou, Jun-Lin, Sun, Hong-Liang, and Chen, Duan-Bing

Subjects
Computer Science - Social and Information Networks, Computer Science - Artificial Intelligence, Computer Science - Machine Learning
Abstract

Many real-world systems can be expressed in temporal networks with nodes playing far different roles in structure and function and edges representing the relationships between nodes. Identifying critical nodes can help us control the spread of public opinions or epidemics, predict leading figures in academia, conduct advertisements for various commodities, and so on. However, it is rather difficult to identify critical nodes because the network structure changes over time in temporal networks. In this paper, considering the sequence topological information of temporal networks, a novel and effective learning framework based on the combination of special GCNs and RNNs is proposed to identify nodes with the best spreading ability. The effectiveness of the approach is evaluated by weighted Susceptible-Infected-Recovered model. Experimental results on four real-world temporal networks demonstrate that the proposed method outperforms both traditional and deep learning benchmark methods in terms of the Kendall $\tau$ coefficient and top $k$ hit rate.

Published
2021

221. Analytical study on dynamic responses of sheet-pile groin subjected to transient lateral impulse

Author

Wu, Tao, Sun, Hong-lei, Cai, Yuan-qiang, Wu, Jun-tao, and Zhang, Yun-peng

Subjects
Physics - Geophysics
Abstract

A novel structure of sheet-pile groin consists of row piles and tied sheet has been introduced to resist the impact of tidal bore in recent years. However, the dynamic responses of the structure under tidal bore have not been carefully studied before. This paper proposed an analytical solution for the dynamic responses of the sheet-pile groin subjected to a transient lateral excitation. In order to take the flexural and longitudinal vibrations into consideration, the piles and the sheet are modeled by the Timoshenko beam (TB) theory and a one-dimensional rod, respectively. The soil around the piles is simulated by the dynamic Winkler foundation model. The excitation is considered by a lateral concentrated point load acting on the front pile. On this basis, the governing equations are constructed in time domain and solved in frequency domain, while the time-domain responses are finally obtained using the discrete Inverse Fourier Transform. The accuracy of the presented analytical solution is validated by comparing with the results obtained from the FEM simulation and a model test. The effects of properties of the sheet, the piles and the soil on the dynamic responses are investigated through a comprehensive parametric study.

Published
2021

222. The Passive State: A Protective Mechanism for Information in Working Memory Tasks

Author

Zhang, Jiafeng, Ye, Chaoxiong, Sun, Hong-Jin, Zhou, Jing, Liang, Tengfei, Li, Yuchen, and Liu, Qiang

Abstract

Memory representations can be stored in a passive state in a visual working memory (VWM) task. However, it remains unclear whether the representations stored in the passive state are prone to interference and decay. To explore this issue, we asked participants to successively remember two sets of memory items (M1 and M2) in three test manners: a "combined test" (both M1 and M2 are probed simultaneously), a "backward test" (probe M2 first and M1 second), or a "forward test" (probe M1 first and M2 second). We found that the contralateral delay activity (CDA) amplitude after the onset of M2 only tracked M2 independently of M1 in the two "separate tests" (Experiments 1-3), and the accuracy of M1 was well above chance. These results implied that the M1 representations had been transferred from the online state into the passive state after the onset of M2. Furthermore, the accuracy of M1 (two representations were transferred from the online state into the passive state and retrieved later) in the "backward test" was worse than M2 (2 representations in the online state throughout) in the "backward test" (Experiments 1-2), but was comparable to M1 (two representations were transferred from the online state into the passive state and retrieved first) in the "forward test" (Experiment 2). These results demonstrated that the memory representations were impaired during state switching. Importantly, once the representations had been stored in the passive state, they were robust with little memory loss during latent retention.

Published
2022
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223. The Anxiety and Depression of International Medical Students during COVID-19 Pandemic: A Cross-Sectional Study

Author

Chen, Xiaoqing and Sun, Hong

Subjects
Epidemics -- Risk factors, Mental health -- Psychological aspects -- Analysis -- Surveys, Medical students -- Surveys, Students, Foreign -- Surveys, Anxiety -- Risk factors
Abstract

The COVID-19 pandemic has inflicted physical harm and exacerbated a significant mental health crisis, warranting greater attention. This study investigated the prevalence of anxiety and depression among international medical students (IMSs) during the pandemic and explored its correlation with demographic factors. Participants completed a comprehensive questionnaire encompassing demographic details, the Zung self-rating anxiety scale, and the Zung self-rating depression scale. The findings revealed that 23.27% of IMSs reported anxiety, while 48.52% experienced symptoms of depression. Multivariate logistic regression analysis identified poor health conditions and limited access to the family as independent risk factors for anxiety. At the same time, depression was associated with both compromised health and notable financial burdens. This study provides crucial insights for policymakers, college administrators, and government authorities, urging proactive measures to support and manage the wellbeing of IMSs during pandemic situations., Author(s): Xiaoqing Chen [1]; Hong Sun (corresponding author) [2] 1. Introduction The outbreak of large-scale epidemics, such as the MERS epidemic in the Middle East in 2012 and the Ebola [...]

Published
2024
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231. A CTCF-binding site in the Mdm1-Il22-Ifng locus shapes cytokine expression profiles and plays a critical role in early Th1 cell fate specification

Author

Liu, Chunhong, Nagashima, Hiroyuki, Fernando, Nilisha, Bass, Victor, Gopalakrishnan, Jaanam, Signorella, Sadie, Montgomery, Will, Lim, Ai Ing, Harrison, Oliver, Reich, Lauren, Yao, Chen, Sun, Hong-Wei, Brooks, Stephen R., Jiang, Kan, Nagarajan, Vijayaraj, Zhao, Yongbing, Jung, Seolkyoung, Phillips, Rachael, Mikami, Yohei, Lareau, Caleb A., Kanno, Yuka, Jankovic, Dragana, Aryee, Martin J., Pękowska, Aleksandra, Belkaid, Yasmine, O’Shea, John, and Shih, Han-Yu

Published
2024
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