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Han Thi Vo,Tien Duc Dao,Tuyen Van Duong,Tan Thanh Nguyen,Binh Nhu Do,Tinh Xuan Do,Khue Minh Pham,Vinh Hai Vu,Linh Van Pham,Lien Thi Hong Nguyen,Lan Thi Huong Le,Hoang Cong Nguyen,Nga Hoang Dang,Trung 질병관리청 2024 Osong Public Health and Research Persptectives Vol.15 No.1
Objectives: The incidence of posttraumatic stress disorder (PTSD) has increased, particularly among individuals who have recovered from coronavirus disease 2019 (COVID-19) infection. Health literacy is considered a “social vaccine” that helps people respond effectively to the pandemic. We aimed to investigate the association between long COVID-19 and PTSD, and to examine the modifying role of health literacy in this association.Methods: A cross-sectional study was conducted at 18 hospitals and health centers in Vietnam from December 2021 to October 2022. We recruited 4,463 individuals who had recovered from COVID-19 infection for at least 4 weeks. Participants provided information about their sociodemographics, clinical parameters, health-related behaviors, health literacy (using the 12-item short-form health literacy scale), long COVID-19 symptoms and PTSD (Impact Event Scale-Revised score of 33 or higher). Logistic regression models were used to examine associations and interactions.Results: Out of the study sample, 55.9% had long COVID-19 symptoms, and 49.6% had PTSD. Individuals with long COVID-19 symptoms had a higher likelihood of PTSD (odds ratio [OR], 1.68; 95% confidence interval [CI], 1.63–2.12; p<0.001). Higher health literacy was associated with a lower likelihood of PTSD (OR, 0.98; 95% CI, 0.97–0.99; p=0.001). Compared to those with long COVID-19 symptoms and the lowest health literacy score, those with long COVID-19 symptoms and a 1-point health literacy increment had a 3% lower likelihood of PTSD (OR, 0.97; 95% CI, 0.96–0.99; p=0.001).Conclusion: Health literacy was found to be a protective factor against PTSD and modified the negative impact of long COVID-19 symptoms on PTSD.
Truong Xuan NGUYEN,Khai Quang LUU,Thien Thuan Hoang NGUYEN,An Van HA,Han Bao Huynh NGUYEN,Anh Nhu Thi BUI 한국유통과학회 2018 KODISA ICBE (International Conference on Business Vol.2018 No.-
This study to explore and examines the factors affecting 4.0 industrial adoption in enterprises in Ho Chi Minh City. The research model based on the two main research theories is the Technology Adaptation Model (Davis, 1989) and the Theory of Planned Behavior (Ajzen, 1991), and previous literature on technology 4.0 to build conceptual models which appropriate to the research content. Both qualitative and quantitative research methods are applied in the study. Qualitative research is conducted first in the form of in-depth interviews to adjust the conceptual model. Quantitative research was then used to verify the conceptual model. Samples taken by the non-probability method and convenience sampling technical through the official questionnaire for 380 small and medium enterprises have been applying elements of industry 4.0. The results show that in addition to the effect of Intent to Use on Use decision, in the group of independent variables affecting Perceived Usefulness of the business, turning Perceived Saving Cost has the strongest impact, and in the group of independent variables which influence Intent to Use, the Business Resource variable has the strongest impact.
( Tuan Hiep Tran ),( Tuan Duc Nguyen ),( Han Van Nguyen ),( Hanh Thuy Nguyen ),( Jong Oh Kim ),( Chul Soon Yong ),( Chien Ngoc Nguyen ) 영남대학교 약품개발연구소 2016 영남대학교 약품개발연구소 연구업적집 Vol.26 No.-
Polyro.t-lactic-co-glycolic acid) (PLGA) nanoparticles with negative surface charge were reversed to positive by cationic surfactant-DDAB before being coated with an anionic polymer, hyaluronic acid, to improve their site-specific intracellular delivery against CD44 receptor overexpressing cancer cells. Incorporating artesunate (ART)-a promising anticancer drug into PLGA/HA nanoparticles, is expected not only to overcome its poor aqueous solubility and stability but also enhance the activities. The obtained particles were characterized by dynamic light scattering, zeta potential measurements, and transmission electron microscopy (TEM). Cancer cell internalization of the NPs was evaluated by flow cytometry and cytotoxicity of the NPs was tested by 3-[4,5-dimethylthiazol-2-yl]-2,5-diphenyl tetrazolium bromide assay. PLGA/HA nanoparticles showed greater extent of cellular uptake to SCC-7 and MCF-7 cells, indicating their affinity with CD44 receptor-mediated endocytosis. Almost 60 % of ART was released into the outer media after 48 h. In vitro fluorescence sorting demonstrated that PLGA/HA had highly efficient targeting and accumulation into CD44 receptor overexpression cells. The significant reduction in cell viability as well as greater induction of apoptosis suggested a potential in anticancer therapy of ART loaded PLGA/HA.
Obstacle Avoidance of Mobile Robot
Nguyen Van Quyet,Woo-Song Lee,Jun-Hong Kim,Sung-Hyun Han 한국생산제조학회 2009 한국공작기계학회 추계학술대회논문집 Vol.2009 No.-
This paper present the theoretical development of a complete navigation problem of a nonholonomic mobile robot by using sonar sensors. To solve this problem, a new method to compute a fuzzy perception of the environment is presented, dealing with the uncertainties and imprecision from the sensory system and taking into account nonholonomic constraints of the robot. Fuzzy perception, fuzzy controller are applied, both in the design of each reactive behavior and solving the problem of behavior combination, to implement a fuzzy behavior-based control architecture. Different experiments in populated environments have proved to be very successful. Our method is able to guide the RD_Robo safety and efficiently during long experimental time.
A Study on Robust control of Non-holonomic Mobile Robot Based on Fuzzy Perception
Van-Quyet Nguyen,Jun-Hong Kim,Woo-Song Lee,Sung-Hyun Han 제어로봇시스템학회 2009 제어로봇시스템학회 국제학술대회 논문집 Vol.2009 No.8
This paper present the theoretical development of a complete navigation problem of a non-holonomic mobile robot by using sonar sensors. To solve this problem, a new method to compute a fuzzy perception of the environment is presented, dealing with the uncertainties and imprecision from the sensory system and taking into accountnonholonomic constraints of the robot. Fuzzy perception, fuzzy controller are applied, both in the design of each reactive behavior and solving the problem of behavior combination, to implement a fuzzy behavior-based control architecture. Different experiments in populated environments have proved to be very successful. Our method is able toguide the KUM-Robo safety and efficiently during long experimental time.
Real-Time Control of Mobile Robot Base on Voice Recognition
Nguyen Huu Cong,Byoung-Kyun Shim,Nguyen Van Quyet,Sung-Hyun Han 한국생산제조학회 2009 한국공작기계학회 추계학술대회논문집 Vol.2009 No.-
Robust voice recognition (RVR) is essential for a robot to communicate with people. One of the main problems with RVR for robots is that robots inevitably real environment noises. The noise is captured with strong power by the microphones, because the noise sources are closed to the microphones. The signal-to-noise ratio of input voice becomes quite low. However, it is possible to estimate the noise by using information on the robot's own motions and postures, because a type of motion/gesture produces almost the same pattern of noise every time it is performed. In this paper, we describe an RVR system which can robustly recognize voice by adults and children in noisy environments. We evaluate the RVR system in a communication robot placed in a real noisy environment. Voice is captured using a wireless microphone. The final hypothesis is selected based on posterior probability. We then select the task in the motion task library. In the motion control, we also integrate the obstacle avoidance control using ultrasonic sensors. Those are powerful for detecting obstacle with simple calculated algorithm.
A Study on Visual Feedback Control of Robot Arm
Van-Quyet Nguyen,Jun-Hong Kim,Suk-Bum Yoon,Young-Gyun Yoo,Sung-Hyun Han 제어로봇시스템학회 2008 제어로봇시스템학회 국제학술대회 논문집 Vol.2008 No.10
This paper presents how it is effective to use many features for improving the speed and the accuracy of the visual servo systems. Some rank conditions, which relate the image Jacobian, and the control performance are derived. It is also proven that the accuracy is improved by increasing the number of features. Effectiveness of the redundant features is verified by the real time experiments on a Dual-Arm Robot manipulator made by Samsung Electronics Co. Ltd.