http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
Ha-Linh Quach,Thai Quang Pham,Ngoc-Anh Hoang,Dinh Cong Phung,Viet-Cuong Nguyen,Son Hong Le,Thanh Cong Le,Dang Hai Le,Anh Duc Dang,Duong Nhu Tran,Nghia Duy Ngu,Florian Vogt,Cong-Khanh Nguyen 대한의료정보학회 2022 Healthcare Informatics Research Vol.28 No.4
Objectives: Online misinformation has reached unprecedented levels during the coronavirus disease 2019 (COVID-19) pandemic. This study analyzed the magnitude and sentiment dynamics of misinformation and unverified information about public health interventions during a COVID-19 outbreak in Da Nang, Vietnam, between July and September 2020. Methods: We analyzed user-generated online information about five public health interventions during the Da Nang outbreak. We compared the volume, source, sentiment polarity, and engagements of online posts before, during, and after the outbreak using negative binomial and logistic regression, and assessed the content validity of the 500 most influential posts. Results: Most of the 54,528 online posts included were generated during the outbreak (n = 46,035; 84.42%) and by online newspapers (n = 32,034; 58.75%). Among the 500 most influential posts, 316 (63.20%) contained genuine information, 10 (2.00%) contained misinformation, 152 (30.40%) were non-factual opinions, and 22 (4.40%) contained unverifiable information. All misinformation posts were made during the outbreak, mostly on social media, and were predominantly negative. Higher levels of engagement were observed for information that was unverifiable (incidence relative risk [IRR] = 2.83; 95% confidence interval [CI], 1.33–0.62), posted during the outbreak (before: IRR = 0.15; 95% CI, 0.07–0.35; after: IRR = 0.46; 95% CI, 0.34-0.63), and with negative sentiment (IRR = 1.84; 95% CI, 1.23–2.75). Negatively toned posts were more likely to be misinformation (odds ratio [OR] = 9.59; 95% CI, 1.20–76.70) or unverified (OR = 5.03; 95% CI, 1.66–15.24). Conclusions: Misinformation and unverified information during the outbreak showed clustering, with social media being particularly affected. This indepth assessment demonstrates the value of analyzing online “infodemics” to inform public health responses.
Le, Thi Thanh,Ha, Manh Tuan,Hoang, Le Minh,Vu, Ngoc Khanh,Kim, Jeong Ah,Min, Byung Sun The Korean Society of Pharmacognosy 2022 Natural Product Sciences Vol.28 No.3
In our study, sixteen known phenolic compounds, including quercetin (1), methyl gallate (2), caesalpiniaphenol C (3), 8S,8'S,7'R-(-)-lyoniresinol (4), 7,3',5'-trihydroxyflavanone (5), sappanchalcone (6), sappanone A (7), taxifolin (8), fisetin (9), fustin (10), (+)-catechin (11), brazilin (12), 3,4,5-trimethoxyphenyl β-ᴅ-glucopyranoside (13), 1-(2-methylbutyryl)phloroglucinol-glucopyranoside (14), (+)-epi-catechin (15), and astragalin (16) and one mixture of two conformers of protosappanin B (17/18) were isolated from the stems of Caesalpinia decapetala var. japonica. Their structures were elucidated based on a comparison of their physicochemical and spectral data with those of literature. To the best of our knowledge, this represents the first isolation of compounds 3, 4, 8, 9, and 10 from C. decapetala and compounds 13 and 14 from the Caesalpinia genus. All the isolated compounds were evaluated for their inhibitory effect against the α-glucosidase enzyme. Among them, two flavonols (1 and 9), one chalcone (6), and one homoisoflavanone (7) exhibited an inhibitory effect on α-glucosidase action with an IC<sub>50</sub> range value of 5.08-15.01 μM, stronger than that of the positive control (acarbose, IC<sub>50</sub> = 152.22 μM). Kinetic analysis revealed that compounds 1 and 9 showed non-competitive α-glucosidase inhibition, while the inhibition type was mixed for compounds 6 and 7.
Hoang Thi Le,나민균,Do Thi Ha,Chau Thi Anh Minh,Tae Hoon Kim,Phan Van Kiem,Nguyen Duy Thuan 대한약학회 2012 Archives of Pharmacal Research Vol.35 No.1
Phytochemical investigation of the stem barks of Canarium bengalense (Burseraceace) resulted in the isolation of a new flavone glycoside (5) together with six known compounds (1-4, 6, and 7). The chemical structure of the new compound was elucidated as 3'-hydroxy-7,4'-dimethoxyflavone-5-O-α-L-arabinofuranosyl-(1→6)-β-D-glucopyranoside by means of 1D and 2D NMR (1H-1H COSY, HMQC, and HMBC) and MS analyses. To evaluate the in vitro cytoprotective effect, the isolates (1-7) were tested against hydrogen peroxide (H2O2)-induced damage in primary cultured hepatocytes. The viability of hepatocytes was increased by treatment with each compound, except compound 1. Compounds 3, 4, and 7 exerted cytoprotective effects comparable to curcumin, the positive control. Our results suggest that the cytoprotective constituents of C. bengalense may contribute to its traditional use in the treatment of tumor and liver damage.
Le, Thi Thao Nguyen,Ly, Nguyen Hoang,Nguyen, Thanh Danh,Nguyen, Thi Ha,Kim, Moon-Kyung,Zoh, Kyung-Duk,Joo, Sang-Woo Elsevier 2018 Colloids and surfaces. A, Physicochemical and engi Vol.551 No.-
<P><B>Abstract</B></P> <P>For this report, we compared interfacial spectroscopic tools to monitor in situ Fenton reactions of organic dyes on ascorbic acid-reduced gold nanostars (AuNSs). Ultraviolet-visible (UV–vis) absorption and Raman spectroscopic tools were introduced to check the hydroxyl radical destruction of ethyl violet (EV), which contains a triarylmethane group. AuNSs with sharp edges, tips, and corners were used as efficient surface-enhanced resonance Raman scattering (SERRS) substrates for in situ Fenton reaction monitoring. The SERRS intensity of the EV showed a first-order decay curve with a reaction rate constant value of 0.0263 min<SUP>−1</SUP>, while the decolorization yielded second-order kinetic behavior with a constant value of 0.00430 L/mol min. In addition to the destruction of the organic dyes, the increased number of ferric (III) ions, as a result of the Fenton reactions, was detected via 4-aminobenzo-15-crown-5 (4AB15C5) conjugated with 4-mercaptobenzoic acid (4MBA). We found that the SERRS bands at ∼1500 cm<SUP>−1</SUP> of 4AB15C5 on AuNSs increased after treatment with H<SUB>2</SUB>O<SUB>2</SUB> and FeSO<SUB>4</SUB>. Real industrial textile wastewater samples were then tested to determine whether this Raman method could be applied to detect increases in ferric ions. Our spectroscopic data used SERRS peaks via Fenton reaction results to calculate an estimated ∼65% destruction of the organic dyes.</P> <P><B>Graphical abstract</B></P> <P>[DISPLAY OMISSION]</P>
Hoang, Van Minh,Le, Hong Chung,Kim, Bao Giang,Duong, Minh Duc,Nguyen, Duc Hinh,Vu, Quynh Mai,Nguyen, Manh Cuong,Pham, Duc Manh,Ha, Anh Duc,Yang, Jui-Chen Asian Pacific Journal of Cancer Prevention 2016 Asian Pacific journal of cancer prevention Vol.17 No.no.sup1
Two years after implementation of the graphic health warning intervention in Vietnam, it is very important to evaluate the intervention's potential impact. The objective of this paper was to predict effects of graphic health warnings on cigarette packages, particularly in reducing cigarette demand and smoking-associated deaths in Vietnam. In this study, a discrete choice experiment (DCE) method was used to evaluate the potential impact of graphic tobacco health warnings on smoking demand. To predict the impact of GHWs on reducing premature deaths associated with smoking, we constructed different static models. We adapted the method developed by University of Toronto, Canada and found that GHWs had statistically significant impact on reducing cigarette demand (up to 10.1% through images of lung damage), resulting in an overall decrease of smoking prevalence in Vietnam. We also found that between 428,417- 646,098 premature deaths would be prevented as a result of the GHW intervention. The potential impact of the GHW labels on reducing premature smoking-associated deaths in Vietnam were shown to be stronger among lower socio-economic groups.
Motion Estimation Based on Two Corresponding Points and Angular Deviation Optimization
Hoang, Van-Dung,Le, My-Ha,Jo, Kang-Hyun IEEE 2017 IEEE transactions on industrial electronics Vol.64 No.11
<P>Recently, there have been several studies on vision-based motion estimation under a supposition that planar motion follows a nonholonomic constraint. This allows reducing computational time. However, the vehicle motion in an outdoor environment does not accept this assumption. This paper presents a method for estimating the vision-based 3-D motion of a vehicle with several parts as follows. First, the Ackermann steering model is applied to reduce constraint parameters of the 3-D motion. In difference to the previous contribution, the proposed approach requires only two corresponding points of consecutive images to estimate the vehicle motion. Second, motion parameters are extracted based on a closed-form solution on geometric constraints. Third, the estimation approach applies the bundle adjustment-based quasiconvex optimization. This task aims to take into account advantage of omnidirectional vision-based features for reducing errors. The omnidirectional vision supports for landmarks tracking in long travel and large rotation, which is appropriate for a bundle adjustment technique. Evaluated results show that the proposed method is applicable in the practical condition of outdoor environments.</P>
A deep sparse autoencoder method for automatic EOG artifact removal
Hoang-Anh The Nguyen,Anh Tuan Do,Thanh Ha Le,The Duy Bui 제어로봇시스템학회 2019 제어로봇시스템학회 국제학술대회 논문집 Vol.2019 No.10
In this paper, a novel hybrid method that combines wavelet transform and deep sparse autoencoder for ocular artifact removal is presented. This deep wavelet sparse autoencoder (DWSAE) is capable of suppressing EOG artifacts effectively while preserving the nature of background EEG signals. DWSAE is automatic in either training (unsupervised learning) or correcting phase that makes it a good solution to be integrated into real-time Brain computer interfaces. DWSAE is compared with two other methods that are Second order blind identification (SOBI) and Wavelet neural network (WNN). The experimental results on a public visual attention task dataset show that it address limitations posed by SOBI and WNN effectively.
A novel mathematical modelling for simulating the spread of heavy metals in solid waste landfills
Ngoc Ha Hoang,Anh My Chu,Kim Thai Thi Nguyen,Chi Hieu Le 대한환경공학회 2022 Environmental Engineering Research Vol.27 No.3
Municipal solid waste (MSW) landfills create the environmental pollutions due to problems related to toxins, leachate, and greenhouse gas, which are the growing environmental concerns, especially in developing countries. This paper presents a novel mathematical modelling for simulating the spread of heavy metals in soil layers in the MSW landfills. A new mathematical modelling procedure is studied for deriving the governing equation which describes the time varying concentration of pollutants in the leachate in a 3-dimensional (3D) space of soil layers. A Finite Element Method (FEM) based algorithm is then constructed to solve numerically the governing equation over time in 3D space for effectively analyzing the variation of pollutants concentrations. Finally, the applicability and advantages of the proposed novel method are demonstrated through the case study with soil samples collected from the actual MSW landfill. The successfully developed algorithm can be applied to model and predict the spread of different heavy metals in the MSW landfill sites; and to develop effective solutions and policies for solid waste classification and management, in order to minimise the negative impacts from the potential risk of the toxic heavy metal pollutions, soil contaminations and groundwater pollutions in the areas nearby the MSW landfill.