Enhancing the Customer’s Information-sharing Intention Through Omnichannel Strategies

Nguyen Thi Tuyet NHUNG(Nguyen Thi Tuyet NHUNG ),Van Thanh-Truong NGUYEN(Van Thanh-Truong NGUYEN ),Nguyen Tuong An HUYNH(Nguyen Tuong An HUYNH ),Bui Thanh KHOA(Bui Thanh KHOA ) 한국유통과학회 2023 유통과학연구 Vol.21 No.3

Purpose: An omnichannel strategy creates a consistent brand image and customer experience across all channels, making it easier for customers to interact with a business and share information. This research aimed to investigated the relationship between consumers' information-sharing intention and their omnichannel experiences. Research design, data, and methodology: Through an online survey conducted in Vietnam, the study obtained 915 responses. The study used Partial Least Square Structural Equation Modeling (PLS-SEM) to analyze research data and confirm proposed research hypotheses. Results: Research results indicated that information-sharing intention is affected by both online and offline customer experience, and at the same time, the study also confirmed that omnichannel’s three characteristics (integration, individualization, interaction) positively impact on customer experience. Conclusions: From the research result, businesses may boost consumer trust and loyalty with the help of an omnichannel approach, which in turn increases customers' propensity to provide personally identifying information to the firm. One way to do this is to facilitate information exchange by delivering customized and relevant offers. Furthermore, companies show consumers the benefit of providing their data by utilizing it to enhance the customer experience.

Parenchymal-sparing anatomical hepatectomy based on portal ramification of the right anterior section: A prospective multicenter experience with short-term outcomes

Truong Giang Nguyen,Thanh Khiem Nguyen,Ham Hoi Nguyen,Hong Son Trinh,Tuan Hiep Luong,Minh Trong Nguyen,Van Duy Le,Hai Dang Do,Kieu Hung Nguyen,Van Minh Do,Quang Huy Tran,Cuong Thinh Nguyen 한국간담췌외과학회 2024 Annals of hepato-biliary-pancreatic surgery Vol.28 No.1

Backgrounds/Aims: Parenchymal-sparing anatomical hepatectomy (Ps–AH) based on portal ramification of the right anterior section (RAS) is a new technique to avoid unnecessarily transecting too much liver parenchyma, especially in cases of major anatomical hepatectomy. Methods: We prospectively assessed 26 patients with primary hepatic malignancies having undergone major Ps–AH based on portal ramification of the RAS from August 2018 to August 2022 (48 months). The perioperative indications, clinical data, intra-operative index, pathological postoperative specimens, postoperative complications, and follow-up results were retrospectively evaluated. Results: Among the 26 patients analyzed, there was just one case that had intrahepatic cholangiocarcinoma The preoperative level of α– Fetoprotein was 25.2 ng/mL. All cases (100%) had Child–Pugh A liver function preoperatively. The ventral/dorsal RAS was preserved in 19 and 7 patients, respectively. The mean surgical margin was 6.2 mm. The mean surgical time was 228.5 minutes, while the mean blood loss was 255 mL. In pathology, 5 cases (19.2%) had microvascular invasion, and in the group of HCC patients, 92% of all cases had moderate or poor tumor differentiation. Six cases (23.1%) of postoperative complications were graded over III according to the Clavien–Dindo system, including in three patients resistant ascites or intra-abdominal abscess that required intervention. Conclusions: Parenchymal-sparing anatomical hepatectomy based on portal ramification of the RAS to achieve R0-resection was safe and effective, with favorable short-term outcomes. This technique can be used widely in clinical practice.

Designing Self-feeding System for Increasing Independence of Elders and Parkinson People

Nguyen Truong Thinh,Tuong Phuoc Tho,Nguyen Thanh Tan 제어로봇시스템학회 2017 제어로봇시스템학회 국제학술대회 논문집 Vol.2017 No.10

This paper describes a customized self-feeding system designed to increase the independence of a elder person or Parkinson patient who is unable to use his/her arm for self-feeding. Besides, the procedures of design and development of the system are also carried out, and other its tasks control manipulator to feed the food to patients based on nutrients management for patients. This system can help patients self-control his meal replacement for the care of a family member or care worker thereby saving a lot of time and effort of caregivers, and, nutritional management software of each meal will allow caregivers understand nutritional information of the patients in the diet which can not change to improve the quality of meals for patients. The self-feeding system is experienced and evaluated with several cases in nursing home to give suitable design. The experimental results show that this self-feeding system provides a viable alternative to assisting independence in self-feeding as measured by ingesting time and nutrition intake. The self-feeding system is operated autonomous by itself and sent food"s data and relative information to monitoring computer based on Internet. Besides, the tool of management can analyze the data according to the nutritional standards, and controller control movements of manipulator and automation tray based on health situation and needs of patients.

The effective model of the human Acetyl-CoA Carboxylase inhibition by aromatic-structure inhibitors

Nguyen Truong Cong Minh,Bui Tho Thanh,Le Xuan Truong,Nguyen Thi Bang Suong,Le Thi Xuan Thao 한국전기전자학회 2017 전기전자학회논문지 Vol.21 No.3

The research investigates the inhibition of fatty acid biosynthesis of the human Acetyl-CoA Carboxylase enzyme by the aromatic-structure inhibitors (also known as ligands) containing variables of substituents, contributing an important role in the treatment of fatty-acid metabolic syndrome expressed by the group of cardiovascular risk factors increasing the incidence of coronary heart disease and type-2 diabetes. The effective interoperability between ligand and enzyme is characterized by a 50% concentration of enzyme inhibitor (IC50) which was determined by experiment, and the factor of geometry structure of the ligands which are modeled by quantum mechanical methods using HyperChem 8.0.10 and Gaussian 09W softwares, combining with the calculation of quantum chemical and chemico-physical structural parameters using HyperChem 8.0.10 and Padel Descriptor 2.21 softwares. The result data are processed with the combination of classical statistical methods and modern bioinformatics methods using the statistical softwares of Department of Pharmaceutical Technology – Jadavpur University – India and R v3.3.1 software in order to accomplish a model of the quantitative structure - activity relationship between aromatic-structure ligands inhibiting fatty acid biosynthesis of the human Acetyl-CoA Carboxylase.

E-commerce Adoption in Distribution: An Empirical Study on Household Businesses in Food and Beverage Industry

NGUYEN, Xuan Truong,NGUYEN, Thai Ha,DANG, Huynh Phuong,PHAM, Thi Lan Phuong,BUI, Thi Thanh,TRAN, Nhat Minh,HUYNH, Tri An,NGUYEN, Nam Phong Korea Distribution Science Association 2022 유통과학연구 Vol.20 No.2

Purpose: This study aims to identify factors affecting the adoption of e-commerce by household businesses in Vietnam's food and beverage industry. Research design, data and methodology: The integrated TAM and TOE frameworks and ten hypotheses were developed to test the relationship between relevant factors. A cross-sectional survey was conducted to collect valid data from 992 respondents who run F&B household businesses in Vietnam. Results: The empirical research results confirm all proposed hypotheses that e-commerce adoption is affected by the perceived usefulness, the perceived ease of use, vendor support partners, social expectancy, competitive pressure, subjective norm, and household resources. Meanwhile, technical readiness, environment readiness, and organization readiness are intermediate variables that influence the implementation of e-commerce in food and beverage distribution. Conclusions: The findings suggest effective orientations to foster the food and beverage e-trading practice for household businesses in developing countries. Accordingly, to encourage private household businesses to adopt e-commerce, it is necessary to focus on improving business resources, technology readiness, environment readiness, and organization readiness through raising awareness of usefulness, benefits, perceived ease of use, and increased support of vendor partners. Future research can focus on improving the efficiency of e-commerce applications in F&B distribution for both household businesses and larger-scale enterprises.

A New Dimeric Lignan from the Stems of Willughbeia edulis

Nguyen, Hai Xuan,Do, Truong Nhat Van,Le, Tho Huu,Dang, Phu Hoang,Nguyen, Mai Thanh Thi,Nguyen, Nhan Trung The Korean Society of Pharmacognosy 2022 Natural Product Sciences Vol.28 No.2

As part of our continued study on the chemical constituents of Willughbeia edulis stems, a new dimeric lignan named edulignan (1) was isolated from its EtOAc-soluble extract. Based on NMR spectroscopic interpretation, the planar structure of 1 has been suggested to have two 2-substituted 4-chromanone subunits with different stereochemical configurations. In addition, the MS/MS analysis of the products obtained by acid-catalyzed hydrolysis of 1 was supportive of its structure. Unfornatually, the new compound 1 did not show 𝛼-glucosidase inhibitory activity with an IC₅₀ value > 250 𝜇M.

Multi-Charged Conjugated Polyelectrolytes (CPEs) are effective tool for interfacial modification of organic electronic Device

Thanh Dat Truong Nguyen,우딘 모하메드 압살,김지현,유화숙,우한영 한국고분자학회 2014 한국고분자학회 학술대회 연구논문 초록집 Vol.2014 No.10

An Adaptive Terminal Sliding Mode Control Scheme via Neural Network Approach for Path-following Control of Uncertain Nonlinear Systems

Thanh Nguyen Truong,Anh Tuan Vo,Hee-Jun Kang 제어·로봇·시스템학회 2022 International Journal of Control, Automation, and Vol.20 No.6

In this paper, we design a neural network-based non-singular fast terminal sliding mode control (NFTSMC) for path tracking control of uncertain nonlinear systems (UNSs). The major features of the proposed control algorithm are to combine merits of feed-forward neural network (FFNN) and NFTSMC, such as approximation ability, rapid convergence rate, along with strong properties to external disturbances and uncertain dynamics. A controller is derived from the above combination for high control performance and fast convergence of state variables in presence of those unknown components. Besides, a fast-reaching control law (FRCL) is also applied to obtain a faster convergence time. The new contribution of the proposed method is to propose a PI-nonsingular fast terminal sliding mode surface (PI-NFTSMS) and to use a non-singular fast terminal sliding mode-based-error filter into FFNN. The contribution of the proposed method is a PI-NFTSMS and use of a non-singular fast terminal sliding mode-based-error filter into FFNN. With this approach, the lumped uncertain dynamics (LUDs) have been quickly and fully offset. Accordingly, the proposed controller can obtain a faster convergence time, higher tracking accuracy, lesser chattering than classical NFTSMC, and avoid the glitch of state variables in reaching the sliding manifold. Consequently, the stabilization of the whole closed loop control system is then guaranteed with strong control performance. The correctness of the stability is also proven based on Lyapunov analysis. Control performance obtained from the simulation example for an uncertain 3-DOF robot and experiment for an uncertain magnetic levitation system (MLS) has verified the effectiveness and practicality of the method.

Factors Affecting the Use of ICT in Resolving Work of Community Officers in Vietnam

Truong Tuan LINH(Truong Tuan LINH ),Nguyen Thi Thanh HUYEN(Nguyen Thi Thanh HUYEN ) 한국유통과학회 2023 The Journal of Asian Finance, Economics and Busine Vol.10 No.2

In general, using information and communication technology (ICT) to support problem-solving is becoming increasingly common across various industries, sectors, and regions. However, there have been few analyses on the factors affecting ICT problem-solving among officers working at People’s Committees of mountainous communes. Using survey data, exploratory factor analysis (EFA), and multivariable linear regression, this study examined the factors that influence the use of ICT in resolving works among community officers at People’s Committees in the Northwest mountainous region of Vietnam. The results showed that three factors with statistical significance affecting the dependent variable are computer skills, gender, and occupation of community officers. Therefore, it is recommended that officers participate in ICT training courses or engage in regular self-study to improve their computer skills and qualifications. Both men and women should also prioritize the use of ICT equipment. The study also found that officers in managerial positions were more likely to use ICT for problem-solving than their counterparts. However, some factors that affect the use of ICT were not identified in this study, leaving room for further research.

Deep learning-based functional assessment of piezoelectric-based smart interface under various degradations

Thanh-Truong Nguyen,Jeong-Tae Kim,Quoc-Bao Ta,Duc-Duy Ho,Thi Tuong Vy Phan,Thanh-Canh Huynh 국제구조공학회 2021 Smart Structures and Systems, An International Jou Vol.28 No.1

The piezoelectric-based smart interface technique has shown promising prospects for electro-mechanical impedance (EMI)-based damage detection with various successful applications. During the process of EMI monitoring and damage identification, the operational functionality of the smart interface device is a major concern. In this study, common functional degradations that occurred in the smart interface are diagnosed using a deep learning-based method. Firstly, the effect of functional degradations on the EMI responses is analytically discussed. Secondly, a critical structural joint is selected as the test structure from which EM measurement using the smart interface is conducted. Thirdly, a numerical model corresponding to the experimental model is established and updated to reproduce the measured EMI responses. By using the updated numerical model, the EMI responses of the smart interface under the common functional degradations, such as the shear lag effect, the adhesive debonding, the sensor breakage, and the interface detaching, are simulated; then, the functional degradation-induced EMI changes are characterized. Finally, a convolutional neural network (CNN)-based functional assessment method is newly proposed for the smart interface. The CNN can automatically extract and directly learn optimal features from the raw EMI signals without preprocessing. The CNN is trained and tested using the datasets obtained from the updated numerical model. The obtained results show that the proposed method was successful to classify four types of common defects in the smart interface, even under the effect of noises.