The Impact of Digital Transformation on Customer Satisfaction to Digital Banking Service of Commercial Banks in Vietnam

The present study focuses on examining the interplay and correlation between the digital transformation process as assessed by the digital banking service quality components (Ease of use, Effectiveness, Interoperability, Privacy/ Security, Empathy, Responsiveness, Reliability, Service portfolios, Service charge) and customer satisfaction for digital banking services at commercial banks in Vietnam. The predictors (independent variables) for this study are the aforementioned service quality aspects and moderator is Service charge. The outcome variable (dependent variable) is customer satisfaction. The authors combined qualitative and quantitative research techniques to develop observed variables and assess the model's fit. This study can help banking leaders evaluate and improve the quality of digital banking services in the context of financial liberalization and globalization. Keywords: Digital transformation, Digital Banking, Banking service quality, Customer satisfaction DOI: 10.7176/EJBM/15-6-04 Publication date:March 31st 202

The Impact of Viral Marketing on Emotion and Impulse Buying Behavior: A Case Study of Online Fashion

Impulsive online shopping is becoming a habit for many young consumers, especially for fashion products. This study aims to analyze the influence of viral marketing on emotions and impulsive online shopping behavior of young people for fashion products in Vietnam. The results showed that viral marketing with characteristics such as entertainment, source credibility, visual appeal, informativeness, and irritation all had a significant impact on emotions and impulsive online shopping behavior. Therefore,some suggestions are proposed for applying viral marketing to promote impulsive online shopping behavior for fashion products. Keywords: Viral marketing, Impulse buying behavior, Online shopping, Emotions, Fashion. DOI: 10.7176/EJBM/15-7-03 Publication date: April 30th 202

NGHIÊN CỨU SỬ DỤNG DỮ LIỆU CÁC AXIT BÉO TRONG PHÂN LOẠI HOÁ HỌC THỰC VẬT (CHEMOTAXONOMY) ĐỐI VỚI CÁC LOÀI RONG ĐỎ

In this paper, the compositions and contents of fatty acids in the total lipid extracts of 69 red seaweed samples belonging to 9 families (Gracilariaceae, Hypneaceae, Ceramiaceae, Bangiaceae, Hylamaniaceae, Bonnemaisoniaceae, Phyllophoraceae, Rhodymeniaceae and Halymeniaceae) are studied. According to the results, 56 fatty acids are identified, in which 12 fatty acids were considered “fatty acid markers” for the botanical classification (Chemotaxonomy) of red seaweed species such as C14:0, C15:0, C16:0, C16:1n-7, C18:0, C18:1n-9, C18:1n-7, C18:2n-6, C20:3n-6, C20:4n-6, C20:5n-3 and C22:0. By using principal component analysis method (PCA), the analysis result on two-dimensional chart showed that families of red seaweed are distributed into separate regions. Classification tree diagram of the red seaweed species based on essential fatty acid composition is also given.Chúng tôi đã tiến hành nghiên cứu thành phần và hàm lượng các axit béo trong dịch chiết lipit tổng của 69 mẫu rong đỏ Rhodophyta thuộc 9 họ Gracilariaceae, Hypneaceae, Ceramiaceae, Bangiaceae, Hylamaniaceae, Phyllophoraceae, Rhodymeniaceae, họ Halymeniaceae. Kết quả đã xác định được 56 axit béo trong đó có 12 axit béo là C14:0, C15:0, C16:0, C16:1n-7, C18:0, C18:1n-9, C18:1n-7, C18:2n-6, C20:3n-6, C20:4n-6, C20:5n-3 và C22:0 được sử dụng là những chất đánh dấu cho việc phân loại hoá học thực vật (Chemotaxonomy) đối với các loài rong đỏ. Sử dụng phương pháp phân tích cấu tử chính (PCA), kết quả thể hiện qua giản đồ hai chiều, các họ rong đỏ phân định thành các vùng riêng rẽ. Chúng tôi cũng đưa ra sơ đồ cây phân loại của các loài rong đỏ theo thành phần axit béo chính yếu

PILOT SCALE STUDY ON AMMONIUM REMOVAL IN PHAP VAN WATER PLANT, HANOI CITY

Joint Research on Environmental Science and Technology for the Eart

Urinary catecholamine excretion, cardiovascular variability, and outcomes in tetanus

Severe tetanus is characterized by muscle spasm and cardiovascular system disturbance. The pathophysiology of muscle spasm is relatively well understood and involves inhibition of central inhibitory synapses by tetanus toxin. That of cardiovascular disturbance is less clear, but is believed to relate to disinhibition of the autonomic nervous system. The clinical syndrome of autonomic nervous system dysfunction (ANSD) seen in severe tetanus is characterized principally by changes in heart rate and blood pressure which have been linked to increased circulating catecholamines. Previous studies have described varying relationships between catecholamines and signs of ANSD in tetanus, but are limited by confounders and assays used. In this study, we aimed to perform detailed characterization of the relationship between catecholamines (adrenaline and noradrenaline), cardiovascular parameters (heart rate and blood pressure) and clinical outcomes (ANSD, mechanical ventilation required, and length of intensive care unit stay) in adults with tetanus, as well as examine whether intrathecal antitoxin administration affected subsequent catecholamine excretion. Noradrenaline and adrenaline were measured by ELISA from 24-h urine collections taken on day 5 of hospitalization in 272 patients enrolled in a 2 × 2 factorial-blinded randomized controlled trial in a Vietnamese hospital. Catecholamine results measured from 263 patients were available for analysis. After adjustment for potential confounders (i.e., age, sex, intervention treatment, and medications), there were indications of non-linear relationships between urinary catecholamines and heart rate. Adrenaline and noradrenaline were associated with subsequent development of ANSD, and length of ICU stay

Optimal Reactive Power Flow for Large-Scale Power Systems Using an Effective Metaheuristic Algorithm

In this paper, stochastic fractal search method (SFS) is employed for solving the optimal reactive power flow (ORPF) problem with a target of optimizing total active power losses (TPL), voltage deviation (VD), and voltage stability index (VSI). SFS is an effective metaheuristic algorithm consisting of diffusion process and two update processes. ORPF is a complex problem giving challenges to applied algorithms by taking into account many complex constraints such as operating voltage from generators and loads, active and reactive power generation of generators, limit of capacitors, apparent power limit from branches, and tap setting of transformers. For verifying the performance, solutions of IEEE 30 and 118-bus system with TPL, VD, and VSI objectives are found by the SFS method with different control parameter settings. Result comparisons indicate that SFS is more favorable than other methods about finding effective solutions and having faster speed. As a result, it is suggested that SFS should be used for ORPF problem, and modifications performed on SFS are encouraged for better results

A High-Performance Stochastic Fractal Search Algorithm for Optimal Generation Dispatch Problem

This paper proposes applications of a modified stochastic fractal search algorithm (MSFS) to solve the economic load dispatch problem (ELD) in which valve-point effects, prohibited operating zones, power losses in all conductors, multi-fuel sources and other constraints of power system are taken into consideration. The proposed method is first developed in the study by performing two modifications on two procedures of new solution generation from conventional stochastic fractal search (SFS). The first modification is used to change the strategy of producing new solutions of the first and the second update procedures while the second one is to newly update the worst solutions in the first update process and the best solutions in the second update process. These modifications have major influence on the solution search performance of the proposed method. All improvements of the proposed method can be illustrated by solving and analyzing results from various test systems with different system scales including 3-unit, 6-unit, 10-unit, and 20-unit systems. Comparison of results obtained by MSFS, SFS, and other existing methods indicates that the proposed MSFS method is more effective and robust than compared methods in terms of solution quality, high-quality solution search stability and convergence process. Consequently, the proposed method should be used as a very favorable optimization method for the ELD problem and it should be tried for other optimization problems in electrical engineering

Distributed Virtual Inertia Control for Frequency Regulation in Islanded Microgrids

In the absence of synchronous generator, distributed energy resources such as solar or wind generations need to provide inertia support to guarantee stable operation of a low-inertia islanded AC microgrid. This paper proposes a distributed method to regulate the system frequency by emulating the behavior of a conventional synchronous generator in term of virtual inertia control, using the coordination of both reserved active and reactive power of distributed energy resources. This paper proposed a multi-layer hierarchical control structure for MGs, using consensus algorithm and Andronov-Hopf based Virtual Oscillator Control. The proposed method, besides providing advantages of conventional AHO over well-known droop control method, is able to eliminate the frequency deviation and improves the system frequency response, while maintaining accurate load power-sharing among DERs in proportion to their rated power regardless of the line impedance nonuniform and network topology. An important feature of the proposed method is that it coordinates both reserved active and reactive power output of DERs to provide frequency regulation, reducing the need of high active power utilization during the inertia response. Therefore, the proposed method is more economical meaningful. The numerical simulations in Matlab/Simulink validate the effectiveness of the proposed method