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Factors Affecting Intention to Purchase Green Products in Vietnam
NGUYEN, Thi Kim Chi,NGUYEN, Dat Minh,TRINH, Van Thien,TRAN, Thi Phuong Diu,CAO, Tuan Phong Korea Distribution Science Association 2020 The Journal of Asian Finance, Economics and Busine Vol.7 No.4
The study aims to assess factors affecting intention to purchase green products in Vietnam. The study employs samples from customers who have actually experienced green consumption in Vietnam. The samples were collected by convenient sampling methods. The survey obtained 206 responses with full information. The survey was conducted from October 2019 to January 2020. The measurement scale was a 5-point scale with 1- completely disagree and 5- strongly agree. This study employs factor analysis and structural equation modelling analysis. The results showed that the social and environment sustainability awareness have positive effects on altruism of customers who are interested in green consumption. Altruism also has the same direction on green purchase intention. Besides, the attitude toward buying green and health consciousness affects green purchase intention. At the same time, the altruism and attitude towards buying green products also influence positively on green purchase intention. Besides, the health consciousness positively affects attitude towards buying green products. The results show that the health consciousness has a negative impact on intention to purchase green products. The findings suggest that it is necessary to raise customers' health consciousness, customers' altruism from disseminating knowledge about environmental protection as well as society to enhance the green consumption in Vietnam.
Ha, Manh Tuan,Seong, Su Hui,Nguyen, Tien Dat,Cho, Won-Kyung,Ah, Kim Jeong,Ma, Jin Yeul,Woo, Mi Hee,Choi, Jae Sue,Min, Byung Sun Elsevier 2018 Phytochemistry Vol.155 No.-
<P><B>Abstract</B></P> <P>As part of our continuing research to obtain pharmacologically active compounds from <I>Morus alba</I> L. (Moraceae), four Diels-Alder type adducts (DAs) [morusalbins A−D], one isoprenylated flavonoid [albanin T], together with twenty-one known phenolic compounds were isolated from its root bark. The chemical structures were established using NMR, MS, and ECD spectra. The DAs including morusalbins A−D, albasin B, macrourin G, yunanensin A, mulberrofuran G and K, and albanol B exhibited strong inhibitory activities against both protein tyrosine phosphatase 1B (PTP1B) (IC<SUB>50</SUB>, 1.90<B>−</B>9.67 μM) and α-glucosidase (IC<SUB>50</SUB>, 2.29<B>−</B>5.91 μM). In the kinetic study, morusalbin D, albasin B, and macrourin G showed noncompetitive PTP1B inhibition, with <I>K</I> <SUB> <I>i</I> </SUB> values of 0.33, 1.00, and 1.09 μM, respectively. In contrast, these DAs together with yunanensin A produced competitive inhibition of <I>α</I>-glucosidase, with <I>K</I> <SUB> <I>i</I> </SUB> values of 0.64, 0.42, 2.42, and 1.19 μM, respectively. Furthermore, molecular docking studies revealed that these active DAs have high affinity and tight binding capacity towards the active site of PTP1B and <I>α</I>-glucosidase.</P> <P><B>Highlights</B></P> <P> <UL> <LI> <I>.</I>Four Diels-Alder adducts (DAs) and one isoprenylated flavonoid were isolated from <I>Morus alba</I> </LI> <LI> Absolute configuration of DAs with a bicyclo[3.3.1] core was confirmed for the first time by calculated ECD. </LI> <LI> Some of the DAs showed potent inhibition of both PTP1B and α-glucosidase. </LI> <LI> The active DAs could act as dual allosteric PTP1B/ catalytic <I>α</I>-glucosidase inhibitors. </LI> </UL> </P> <P><B>Graphical abstract</B></P> <P>Four Diels-Alder adducts, one isoprenylated flavonoid, and 21 known phenolic compounds were isolated from <I>Morus alba</I> root bark. The active Diels-Alder adducts could act as dual allosteric PTP1B/catalytic <I>α</I>-glucosidase inhibitors.</P> <P>[DISPLAY OMISSION]</P>
BONEcheck: A digital tool for personalized bone health assessment
Dinh Tan Nguyen,Thao P. Ho-Le,Liem Pham,Vinh P. Ho-Van,Tien Dat Hoang,Thach S. Tran,Steve Frost,Tuan V. Nguyen 대한골다공증학회 2023 Osteoporosis and Sarcopenia Vol.9 No.3
Objectives: Osteoporotic fracture is a significant public health burden associated with increased mortality risk and substantial healthcare costs. Accurate and early identification of high-risk individuals and mitigation of their risks is a core part of the treatment and prevention of fractures. Here we introduce a digital tool called 'BONEcheck' for personalized assessment of bone health. Methods: The development of BONEcheck primarily utilized data from the prospective population-based Dubbo Osteoporosis Epidemiology Study and the Danish Nationwide Registry. BONEcheck has 3 modules: input data, risk estimates, and risk context. Input variables include age, gender, prior fracture, fall incidence, bone mineral density (BMD), comorbidities, and genetic variants associated with BMD. Results: Based on the input variables, BONEcheck estimates the probability of any fragility fracture and hip fracture within 5 years, subsequent fracture risk, skeletal age, and time to reach osteoporosis. The probability of fracture is shown in both numeric and human icon array formats. The risk is also contextualized within the framework of treatment and management options on Australian guidelines, with consideration given to the potential fracture risk reduction and survival benefits. Skeletal age was estimated as the sum of chronological age and years of life lost due to a fracture or exposure to risk factors that elevate mortality risk. Conclusions: BONEcheck is an innovative tool that empowers doctors and patients to engage in wellinformed discussions and make decisions based on the patient's risk profile. Public access to BONEcheck is available via https://bonecheck.org and in Apple Store (iOS) and Google Play (Android).
Hai Le Xuan,Quoc-Dong Hoang,Soon Geul Lee,Dat Pham Xuan,Hoang Tran Viet,Minh Pham Van,Hung Pham Van,Hung Pham Viet,PHAM DUC TUAN,Duc Anh Nguyen 대한기계학회 2022 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.36 No.2
Ballbots, which have been studied for over ten years, are under-actuated mobile robots that operate using the inverted pendulum paradigm. Controlling a ballbot poses a number of challenges, including maintaining the stable upright posture from the ground in all directions and making sure it follows the desired trajectory. External factors such as a minor change in contact surface properties or fabrication errors can affect the system's stabilization and transfer capabilities. In this study, an adaptive hierarchical sliding mode control algorithm based on an artificial neural network is developed to make the ballbot robust to external factors. The use of the proposed controller ensures system stability despite uncertainties including friction, accidental centrifugal forces and gravity that occur when the ballbot follows the reference trajectory. The system stability is guaranteed on the basis of Lyapunov theory. Control efficiency and robot stability under system uncertainties are demonstrated by numerical simulation.