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RISS 인기검색어
- 검색키워드
- 저자 : Gong Wenping (검색결과 4 건)
- 무료
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UAV-Based Remote Sensing and Risk Assessment of Rockfalls in Guangzhou, China
( Wenping Gong ),( Zhan Cheng ),( Bing Li ),( Huiming Tang ) 대한지질공학회 2019 대한지질공학회 학술발표회논문집 Vol.2019 No.2
Unmanned Aerial Vehicle (UAV) technique has been extensively applied in geohazards assessment. In this study, we illustrate the advantages of the UAV technique in the remote sensing and risk assessment of rockfalls, through a case study of the rockfalls located in Guangzhou, China; in which, the UAV images collected are adopted for identifying both potential rockfalls and geohazards bearing bodies. On the basis of a visual inspection of the high-resolution aerial photographs, the potential rockfalls are readily identified. Then, the post-failure runout behavior of the identified rockfalls is analyzed with the numerical software of particle flow code (PFC). Due to the inherent uncertainty in the determination of the micro-parameters in the PFC models, the micro-parameters required in the PFC modelling are calibrated as random variables. With the aid of the Monte Carlo simulation (MCS), the distributions of the runout distance and the velocity of the rockfalls could be obtained. From there, the zones that might be impacted by the rockfalls and the destructive forces on the potential geohazards bearing bodies (i.e., buildings) in these zones can be evaluated. Further, the geohazards bearing bodies in the zones that are impacted by the rockfalls are recognized with an automated image recognition model, which is based upon a deep learning-based image recognition technique of RetinaNet. On the basis of the post-failure runout behavior analysis of the rockfalls and the geohazards bearing bodies recognized, a rapid risk assessment of the rockfalls in the studied region can be conducted.
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Gong Wenping,Du Jingli 대한의학회 2023 Journal of Korean medical science Vol.38 No.42
In the context of the coronavirus disease 2019 (COVID-19) pandemic, Bacillus CalmetteGuérin (BCG), a tuberculosis (TB) vaccine, has been investigated for its potential to prevent COVID-19 with conflicting outcomes. Currently, over 50 clinical trials have been conducted to assess the effectiveness of BCG in preventing COVID-19, but the results have shown considerable variations. After scrutinizing the data, it was discovered that some trials had enrolled individuals with active TB, latent TB infection, or a history of TB. This finding raises concerns about the reliability and validity of the trial outcomes. In this study, we explore the potential consequences of including these participants in clinical trials, including impaired host immunity, immune exhaustion, and the potential masking of the BCG vaccine’s protective efficacy against COVID-19 by persistent mycobacterial infections. We also put forth several suggestions for future clinical trials. Our study underscores the criticality of excluding individuals with active or latent TB from clinical trials evaluating the efficacy of BCG in preventing COVID-19.
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Will Mutations in the Spike Protein of SARS-CoV-2 Lead to the Failure of COVID-19 Vaccines?
Jia Zaixing,Gong Wenping 대한의학회 2021 Journal of Korean medical science Vol.36 No.18
Severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) is the causative agent of coronavirus disease 2019 (COVID-19), which has spread worldwide since it was first identified in Wuhan, China, at the end of 2019. With the global transmission of the virus, a large number of SARS-CoV-2 variants have also appeared, especially, emerging strains that have recently been discovered in the United Kingdom (variant 20I/501Y.V1, lineage B.1.1.7), South Africa (variant 20H/501Y.V2, lineage B.1.351), and Brazil (variant 20 J/501Y.V3, and lineage P.1). The common feature of these variants is that they share the N501Y mutation involving the SARS-CoV-2 spike (S) protein, which is precisely the target of most COVID-19 vaccines. Furthermore, mutations such as N501Y, E484K, and K417N in the S protein may affect viral fitness and transmissibility. However, current research on the impact of these variants on COVID-19 vaccines is still lacking. Herein, we briefly explain why most COVID-19 vaccines target the S protein, update the progress of research regarding S protein-related COVID-19 vaccines, review the latest studies concerning the effects of S protein variants on COVID-19 vaccines, and finally, propose certain strategies to deal with SARS-CoV-2 variants.
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Optimal Location of Piles in Stabilizing Slopes Based on a Simplified Double-row Piles Model
Changdong Li,Wenqiang Chen,Yingjie Song,Wenping Gong,Qihua Zhao 대한토목학회 2020 KSCE JOURNAL OF CIVIL ENGINEERING Vol.24 No.2
Embedding single-row piles is often adopted to stabilize slopes in engineering practice. However, for large-scale and complex slopes, single-row piles might not be able to stabilize the slope; rather, double-row piles, even multirow piles, should be adopted. Currently, the optimal locations of double-row stabilizing piles considering local instability of the slope have rarely been studied. In this paper, a simplified analytical model used to analyze double-row pile stabilized slopes is proposed, where the local failure of the slope above the first row of piles is considered. Through the kinematic approach of limit analysis combined with the strength reduction technique, the required resistance forces provided by double-row piles respectively are derived for different pile locations denoted by the rotational angle. Moreover, a framework is developed for analyzing the optimal locations of multirow piles considering multistage potential slip surfaces. The results of an illustrative example are presented, and the reasonableness of the proposed method is verified. It is concluded that the optimal locations of double-row piles lie within middle-lower part of the corresponding stabilized part of the slope. Finally, discussion illustrates the influences of the seismic effects and soil shear strength parameters on the derived optimal pile locations. This study provides novel scientific insight into the optimized design of stabilizing pile locations in engineering practice.
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