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The Hedonic Method in Evaluating Apartment Price: A Case of Ho Chi Minh City, Vietnam
NGUYEN, Ha Minh,PHAN, Hung Quoc,TRAN, Tri Van,TRAN, Thang Kiem Viet Korea Distribution Science Association 2020 The Journal of Asian Finance, Economics and Busine Vol.7 No.6
The study examines factors affecting apartment prices in the real estate market of Ho Chi Minh City, Vietnam. The study uses primary data based on surveys of customers who have traded successfully, and collects transaction data from real estate trading companies that are the top investors in Ho Chi Minh City real estate market. The collected data include 384 observations in a total of 24 districts, detailing that each district surveyed on a minimum of four projects, each project carried out a survey on a minimum of four apartments. The survey collected 339 valid questionnaires for analysis and model testing. This study employs multivariate regression with the data of 339 observations. The research results reveal that five significant factors affect positively the price of apartments in Ho Chi Minh City - apartment area, toilet and bedroom, apartment floor, reference price, and apartment interior. Besides, there are three significant factors affecting negatively the price of apartments - next price trend, distance to city center, and potential building. From the results, the research proposes solutions in the pricing of apartments in the real estate market in Ho Chi Minh City - better information system, a real estate transaction index, and stricter management of small brokerage activities.
Tri, Nguyen Minh,Truong, Dinh Quang,Thinh, Do Hoang,Binh, Phan Cong,Dung, Dang Tri,Lee, Seyoung,Park, Hyung Gyu,Ahn, Kyoung Kwan Elsevier 2016 RENEWABLE ENERGY Vol.97 No.-
<P><B>Abstract</B></P> <P>This paper introduces a novel control approach to maximizing the output energy of an adjustable slope angle wave energy converter (ASAWEC) with oil-hydraulic power take-off. Different from typical floating-buoy WECs, the ASAWEC is capable of capturing wave energy from both heave and surge modes of wave motions. For different waves, online determination of the titling angle plays a significant role in optimizing the overall efficiency of the ASAWEC. To enhance this task, the proposed method was developed based on a learning vector quantitative neural network (LVQNN) algorithm. First, the LVQNN-based supervisor controller detects wave conditions and directly produces the optimal titling angles. Second, a so-called efficiency optimization mechanism (EOM) with a secondary controller was designed to regulate automatically the ASAWEC slope angle to the desired value sent from the supervisor controller. A prototype of the ASAWEC was fabricated and a series of simulations and experiments was performed to train the supervisor controller and validate the effectiveness of the proposed control approach with regular waves. The results indicated that the system could reach the optimal angle within 2s and subsequently, the output energy could be maximized. Compared to the performance of a system with a vertically fixed slope angle, an increase of 5% in the overall efficiency was achieved. In addition, simulations of the controlled system were performed with irregular waves to confirm the applicability of the proposed approach in practice.</P> <P><B>Highlights</B></P> <P> <UL> <LI> This paper proposes a novel energy maximization algorithm of a sliding-buoy wave energy converter (SBWEC). </LI> <LI> An efficiency optimization mechanism is designed and integrated into the SBWEC. </LI> <LI> The control logic is based on a learning vector quantitative neural network for classifying the wave information. </LI> <LI> The effectiveness of the proposed approach is verified through both simulations and experiments. </LI> </UL> </P>
Crack healing performance of hot mix asphalt containing steel slag by microwaves heating
Phan, Tam Minh,Park, Dae-Wook,Le, Tri Ho Minh Elsevier 2018 Construction and Building Materials Vol.180 No.-
<P><B>Abstract</B></P> <P>This study aims to analyze the applicability of steel slag in the asphalt mixtures for the self-healing purpose using microwave heating technique. Hot mix asphalt (HMA) mixtures were developed from four different levels of steel wool fibers (SWF) as a conductive additive and two types of aggregate were used: steel slag aggregate and conventional aggregate. Then, the thermal distribution, as well as the optimum healing time of test samples, were recorded by the infrared camera. 10 damage-healing cycles were applied in all mixtures to evaluate their healing performance under microwave heat. Test results suggested that adding two percent SWF by weight of asphalt mixture provides the best healing level for both types of aggregate mixtures. At this SWF level, the substitution of 30% normal coarse aggregate by steel slag is very promising due to its presence not only provides better healing results but also helps the whole mixture improve the load-displacement relationship with higher ductile behavior. Overall, the application of steel slag in HMA is a prominent solution which contributes toward the sustainable development.</P> <P><B>Highlights</B></P> <P> <UL> <LI> Steel slag shows better microwave absorption compared to the conventional aggregate. </LI> <LI> Under microwave heating, adding lower than 2% SWF is optimum for healing of HMA. </LI> <LI> Mixtures show ductile behavior at early cycles and brittle characteristics at late times. </LI> <LI> Slag mixture obtain better healing performance compared to the original aggregate. </LI> <LI> The crack formation affects the healing effectiveness. </LI> </UL> </P>
Thang Phan,Ha Phan Ai Nguyen,Cao Khoa Dang,Minh Tri Phan,Vu Thanh Nguyen,Van Tuan Le,Binh Thang Tran,Chinh Van Dang,Tinh Huu Ho,Minh Tu Nguyen,Thang Van Dinh,Van Trong Phan,Binh Thai Dang,Huynh Ho Ngo The Korean Society for Preventive Medicine 2023 예방의학회지 Vol.56 No.4
Objectives: The coronavirus disease 2019 (COVID-19) pandemic has increased the workload of healthcare workers (HCWs), impacting their health. This study aimed to assess sleep quality using the Pittsburgh Sleep Quality Index (PSQI) and identify factors associated with poor sleep among HCWs in Vietnam during the COVID-19 pandemic. Methods: In this cross-sectional study, 1000 frontline HCWs were recruited from various healthcare facilities in Vietnam between October 2021 and November 2021. Data were collected using a 3-part self-administered questionnaire, which covered demographics, sleep quality, and factors related to poor sleep. Poor sleep quality was defined as a total PSQI score of 5 or higher. Results: Participants' mean age was 33.20±6.81 years (range, 20.0-61.0), and 63.0% were women. The median work experience was 8.54±6.30 years. Approximately 6.3% had chronic comorbidities, such as hypertension and diabetes mellitus. About 59.5% were directly responsible for patient care and treatment, while 7.1% worked in tracing and sampling. A total of 73.8% reported poor sleep quality. Multivariate logistic regression revealed significant associations between poor sleep quality and the presence of chronic comorbidities (odds ratio [OR], 2.34; 95% confidence interval [CI], 1.17 to 5.24), being a frontline HCW directly involved in patient care and treatment (OR, 1.59; 95% CI, 1.16 to 2.16), increased working hours (OR, 1.84; 95% CI,1.37 to 2.48), and a higher frequency of encountering critically ill and dying patients (OR, 1.42; 95% CI, 1.03 to 1.95). Conclusions: The high prevalence of poor sleep among HCWs in Vietnam during the COVID-19 pandemic was similar to that in other countries. Working conditions should be adjusted to improve sleep quality among this population.
Effect of Steel Slag on Self-healing Performance of Asphalt Concrete Using Microwave Technique
Tam Minh Phan,Dae-Wook Park,Tri Ho Minh Le,Namyu Kim,Allistair Bliss Tam 한국도로학회 2018 한국도로학회 학술대회 발표논문 초록집 Vol.2018 No.05
This paper evaluates the affection of steel slag in the asphalt mixtures for the self-healing purpose through microwave heating technique. Four different contents of steel wool fibers (SWF) were developed in hot mix asphalt and two types of aggregate were used: steel slag aggregate and normal aggregate. By using the infrared camera, the thermal distribution, as well as the optimum healing time of test samples, were recorded. All mixtures were evaluated their healing performance throughout 8 cycles. The substitution of about 30% normal coarse aggregate by steel slag is prominent due to its effect not only produces better healing performance but also enhances the whole mixture improve load-displacement trend with higher ductile behavior. The application of steel slag in HMA is a promising method which contributes toward the sustainable roadway development.
Mental Health Among Healthcare Workers During the COVID-19 Pandemic in Vietnam
Nhan Phuc Thanh Nguyen,Ha Phan Ai Nguyen,Cao Khoa Dang,Minh Tri Phan,Huynh Ho Ngoc Quynh,Van Tuan Le,Chinh Van Dang,Tinh Huu Ho,Van Trong Phan,Van Trong Phan,Thang Phan,Dang Thi Anh Thu 대한예방의학회 2024 예방의학회지 Vol.57 No.1
Objectives: The objective of this study was to characterize mental health issues among Vietnamese healthcare workers (HCWs) and to identify related factors.Methods: A cross-sectional study was conducted with 990 HCWs in 2021. Their mental health status was measured using the Depression, Anxiety, and Stress Scale.Results: In total, 49.9%, 52.3%, and 29.8% of respondents were found to have depression, anxiety, and stress, respectively. The multivariable linear regression model revealed that factors associated with increased anxiety scores included depression scores (β, 0.45; 95% confidence interval [CI], 0.39 to 0.51) and stress scores (β, 0.46; 95% CI, 0.41 to 0.52). Factors associated with increased depression scores included being frontline HCWs (β, 0.57; 95% CI, 0.10 to 1.10), stress scores (β, 0.50; 95% CI, 0.45 to 0.56), and anxiety scores (β, 0.41; 95% CI, 0.36 to 0.47), while working experience was associated with reduced depression scores (β, -0.08; 95% CI, -0.16 to -0.01). Factors associated with increased stress scores included working experience (β, 0.08; 95% CI, 0.00 to 0.16), personal protective equipment interference with daily activities (β, 0.55; 95% CI, 0.07 to 1.00), depression scores (β, 0.54; 95% CI, 0.48 to 0.59), and anxiety scores (β, 0.45; 95% CI, 0.39 to 0.50), while age was associated with reduced stress scores (β, -0.12; 95% CI, -0.20 to -0.05).Conclusions: Specific interventions are necessary to enhance and promote the mental health of HCWs so they can successfully cope with the circumstances of the pandemic.
A study on modeling of a hybrid wind wave energy converter system
Tri Dung Dang,Cong Binh Phan,Hoai Vu Anh Truong,Chau Duy Le,Minh Tri Nguyen,Kyoung-Kwan Ahn 제어로봇시스템학회 2016 제어로봇시스템학회 국제학술대회 논문집 Vol.2016 No.10
A model of a hybrid wind wave energy converter (HWWEC) system is proposed in this paper. The HWWEC includes two wave buoys and a vertical axis wind turbine (VAWT) system, which co-works to drive a generator. Wave buoys are arranged in an arc pattern to capture efficiently wave energy from many directions. The hydrodynamic forces are calculated by the Wave Analysis at Massachusetts Institute of Technology WAMIT software. In order to bring the system into resonance with the incident wave frequencies, a variable inertia hydraulic flywheel is employed so that the power output is maximized. Specifications and working principle of the whole system are presented and described. WEC unit model and hybrid mechanism are also presented. Simulations are carried out to evaluate the performance the HWWEC with the given specifications. Then, simulation results under some phase differences are taken to investigate the influence on the overall efficiency.