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Hien, Nguyen Khoa,Bao, Nguyen Chi,Ai Nhung, Nguyen Thi,Trung, Nguyen Tien,Nam, Pham Cam,Duong, Tran,Kim, Jong Seung,Quang, Duong Tuan Elsevier 2015 Dyes and pigments Vol.116 No.-
<P><B>Abstract</B></P> <P>A fluorescent chemosensor based on dimethylaminocinnamaldehyde-aminothiourea (DA) has been designed, synthesized, and applied with a combined theoretical and experimental study. The synthetic path, optimized molecular structure and characteristics of DA were carried out using the calculations at the B3LYP/LanL2DZ level of theory. The experimental investigations have a good agreement with the theoretical results. DA can be used as a chemosensor for simultaneous quantification of silver, copper, and mercury ions in aqueous solution at the ppb level. The stable geometric structures of the complexes between DA and Ag<SUP>+</SUP>, Hg<SUP>2+</SUP>, Cu<SUP>2+</SUP> with stoichiometry of 1:1, 2:1, and 2:1, have been found and investigated for electronic properties and fluorescence quenching phenomena by using Atoms in Molecules (AIM) and Natural Bond Orbitals (NBO) analyses.</P> <P><B>Highlights</B></P> <P> <UL> <LI> A chemosensor has been studied with a combined theoretical and experimental study. </LI> <LI> Suitable for detecting trace amounts of Ag(I), Hg(II), Cu(II) ions at the ppb concentration level. </LI> <LI> High water solubility, simplicity, rapid analysis time, wide range of pH. </LI> <LI> The stable geometric structures of the complexes have been found and investigated. </LI> <LI> The fluorescence quenching of complexes is studied by using AIM and NBO analyses. </LI> </UL> </P> <P><B>Graphical abstract</B></P> <P>[DISPLAY OMISSION]</P>
Consumer Perceptions and Consumer Behavior Toward Bio-Based Products: An Empirical Study in Vietnam
Trong Luan NGUYEN,Ngoc Phu TRAN,Thi Kieu Thu NGUYEN,Thi Cam Tien HUYNH,Thi Kim Loi NGUYEN,Le Phuong Nghi THACH,Gia Nhu THAI,Thi Thanh Sang TRAN 한국유통과학회 2021 The Journal of Asian Finance, Economics and Busine Vol.8 No.12
Green economy, also known as sustainable economy, is a current development trend in which consumers prefer products that are wholly or partly derived from materials of biological origin since they have become more concerned about their health and the environment in which they live. This study aims to examine consumer behavior toward bio-based products with three key goals in mind. First, it helps to understand the perception of consumers toward Bio-based products. Second, it properly helps consumers be aware of products derived from materials of biological origin so that the consumer can make purchasing decisions to protect their health and contribute to the protection of the environment. Third, the study on consumer behavior towards bio-based products will provide a more accurate view and assessment to companies looking to develop Bio-based products. Based on that, the research is carried out through surveying, collecting data from consumers, and then using the deductive approach, descriptive statistics, and quantitative method analysis. The results demonstrated that a positive relationship and a direct impact are established between the variables of Attitude and Social Norms and the Purchase Intention toward Bio-based products. Furthermore, the findings reveal that customers have positive feelings towards bio-based products in terms of trust, knowledge, and the environment.
Minh Sang VO,Ngoc Phu TRAN,Thi Kieu Thu NGUYEN,Thi Cam Tien HUYNH,Thi Kim Loi NGUYEN,Le Phuong Nghi THACH,Gia Nhu THAI,Thi Thanh Sang TRAN 한국유통과학회 2022 The Journal of Asian Finance, Economics and Busine Vol.9 No.4
This study intends to analyze the impact of the country of origin on the intention to ingest COVID-19 vaccinations by measuring Vietnamese people’s perceptions of India in the manufacture of COVID-19 vaccines. The research is done using a quantitative method, and primary data was obtained using a conventional manner based on the willingness of the research respondents, who are Vietnamese persons aged 18 and up, to contribute information. The findings revealed that perceived brand association and perceived brand quality directly positively impact the COVID-19 vaccine’s consumption intention and willingness. Meanwhile, while the perceived country image component has no direct effect on consumption intention, it does have a positive indirect effect on consumption intention through perceived brand linkage and perceived brand quality. The findings also emphasize the importance and significance of a country’s image in brand association and quality perception. The study’s findings imply that to increase consumers’ willingness to buy India’s COVID-19 vaccination, the country should develop communication initiatives to improve consumer perceptions of the country’s image, the perceived value of the brand association, and brand quality.
A Prospective Technique for Damage Detection in Truss Structures Using the Fusion of DNN with AVOA
Quyet Huu Nguyen,Thang Xuan Le,Dang Le Minh Nguyen,Thanh Tien Bui,Nhung Cam Nguyen Thi,Hoa Tran 대한토목학회 2024 KSCE Journal of Civil Engineering Vol.28 No.7
In recent decades, the integration of optimization methods and Machine Learning (ML) models has garnered significant attention within the research community. In the pursuit of establishing a symbiotic relationship between ML and optimization algorithms, this study focuses on the fusion of the African Vulture Optimization Algorithm (AVOA) - an optimization algorithm inspired by the foraging behavior of African vultures - with Deep Neural Networks (DNNs) - a prevalent model in ML for damage detection of a real large-scale bridge. In this research, AVOA, possessing a vast search space and the ability to autonomously adjust crucial parameters during the search process, such as flight velocity and learning rate, is employed to select informative features such as weight and biases of DNNs. This synergy allows the network to automatically adjust its potential. The technique is applied to a truss bridge, utilizing Finite Element Model (FEM) data that has been validated by real-world vibration measurements, resulting in precise damage identification even in the presence of white Gaussian noise. Evaluation criteria demonstrate enhanced accuracy and computational efficiency compared to the traditional neural network approach.
La Nam Phat,Tran Quoc Thang,Huynh Cam Nguyen,Dang Thi My Duyen,Dao Xuan Tien,Bui Dang Dang Khoa,Pham Tan Khang,Nguyen Thi Huong Giang,Hoang Minh Nam,Mai Thanh Phong,Nguyen Huu Hieu 한국화학공학회 2021 Korean Journal of Chemical Engineering Vol.38 No.11
Recycling biomass to cellulose aerogel (Cell-A) provides a promising approach to develop adsorbent materials for spilled-oil recovery. In this work, Cell-A was fabricated from Vietnamese water hyacinth via crosslinking methods using PVA as a crosslinker and freeze-drying process. Various cellulose to PVA ratios were investigated to obtain the optimal synthesis condition. The Cell-A was additionally modified by dip-coating in poly(dimethylsiloxane) (PDMS) and pyrolyzing to form PDMS-coated cellulose aerogels (Cell-AP) and carbon aerogels (CA), respectively. Results of the oil adsorption tests show that pyrolysis produced aerogels with greater adsorption capacity with an optimal mass ratio of 15 : 1 cellulose to PVA. Furthermore, the pseudo-second-order model was found to be more accurate than the pseudo-first-order model for the study of oil absorption kinetics. As a result, the modified cellulose aerogel is promising for replacing earth-unfriendly polymer-based oil sorbents due to their high oil absorption capacity.