Brand Personality and Revisit Intention: The Mediating Role of Tourists' Self-Image Congruity

Purpose- Brand personality plays an important role in the development of tourists' self-image congruence and revisit intention. This paper attempts to shed light on the relationship between brand personality and self-image congruence and revisit intention through a quantitative analysis.Design - Data were collected from 496 Vietnamese tourists who visited the top five tourist sites in Vietnam, including Ha Long, Phu Quoc, Sapa, Nha Trang, and Hoi An. Methodology - By using SEM in AMOS version 24 CFA was performed to test the the overall measurement model.Findings - Multivariate data analysis demonstrated that five dimensions of brand personality. (Excitement, Sincerity, Sophistication, Competence, and Ruggedness) have a positive effect on self-image congruence and revisit intention. While excitement appears to be most helpful for developing self-image congruence, sincerity has the highest benefit for increasing revisit intention, sincerity has the highest utility for increasing revisit intention. In addition, revisit intention is most influenced by excitement and least influenced by sophistication through self-image congruence. Originality of the research - The findings highlight the important role of attributes associated with tourist destinations. Managers in the tourism sector should be familiar with these characteristics in order to position or strengthen their destination's brand with the aim of delivering to each tourist group a customized experience that resonate with their shared values. The insights provided by this paper also have important implications for travel companies in the gradual recovery of the country's smoke-free industry under the conditions of the COVID-19 pandemic.

The effect of corporate governance elements on corporate social responsibility reporting of listed companies in Vietnam

This paper examines the impact of various corporate governance characteristics on the disclosure of corporate social responsibility (CSR) information in the context of developing markets during the COVID-19 pandemic. We used data from the annual reports of the top 100 companies listed on the Ho Chi Minh Stock Exchange from 2019 to 2021 to investigate the relationship between board independence, board size, CEO duality, foreign ownership, government ownership, and the disclosure level of CSR reporting. We employed a content analysis to measure CSR disclosure level by using the CSR reporting index (CSRRI) with 17 items. The panel regressions including three techniques like the pooled-ordinary least squares (OLS), fixed effects model (FEM), and random effects model (REM), were used to analyze the data, and FEM) shows its best fit to the model. The results suggest that board independence and government ownership correlate positively and significantly with companies' decisions to disclose CSR information. In contrast, board size, CEO duality, foreign ownership and was found to be insignificant. Our study extends the literature on CSR particularly in developing countries where governments play a significant role in promoting economic development. It also evaluates the CSR disclosure level of the top listed companies in Vietnam. Since then, the paper's results provide several insights to the policymakers to identify the corporate governance characteristics that will promote CSR reporting in Vietnam's listed companies.

Lightweight IoT-Based System for COVID-19 Patient Health Monitoring and Prediction

With the present Coronavirus disease (COVID-19) pandemic, Internet of Things (IoT)-based health monitoring devices are precious to COVID-19 patients. We present a real-time IoT-based health monitoring system that monitors patients' heart rate and oxygen saturation, the most significant measures necessary for critical care. Specifically, the proposed IoT-based system is built with Arduino Uno-based hardware and a web application for retrieving the patients' health information. In addition, we implement the Autoregressive Integrated Moving Average (ARIMA) method in the back-end server to predict future patient measurements based on current and past measurements. Compared to commercially available devices, the system's results are adequately accurate, with an acceptable RMSE for predicted value. © 2022 IEEE.

Towards De Novo Drug Design for the Coronavirus: A Drug-Target Interaction Prediction Approach using Atom-enhanced Graph Neural Network with Multi-hop Gating Mechanism

For humans, the COVID-19 pandemic and Coronavirus have undeniably been a nightmare. Although there are effective vaccines, specific drugs are still urgent. Normally, to identify potential drugs, one needs to design and then test interactions between the drug and the virus in an in silico manner for determining candidates. This Drug-Target Interaction (DTI) process, can be done by molecular docking, which is too complicated and time-consuming for manual works. Therefore, it opens room for applying Artificial Intelligence (AI) techniques. In particular, Graph Neural Network (GNN) attracts recent attention since its high suitability for the nature of drug compounds and virus proteins. However, to introduce such a representation well-reflecting biological structures of biological compounds is not a trivial task. Moreover, since available datasets of Coronavirus are still not highly popular, the recently developed GNNs have been suffering from overfitting on them. We then address those issues by proposing a novel model known as Atom-enhanced Graph Neural Network with Multi-hop Gating Mechanism. On one hand, our model can learn more precise features of compounds and proteins. On the other hand, we introduce a new gating mechanism to create better atom representation from non-neighbor information. Once applying transfer learning from very large databanks, our model enjoys promising performance, especially when experimenting with Coronavirus. © 2022 IEEE.

Children with Acute Severe Hepatitis of Undetermined Etiology Have a Systemic T Cell Activation and Interferon Gamma (Ifn-G) Activity Reminiscent of Hemophagocytic Histiocytosis: A Potential Role for T Cell and Ifn-G Directed Therapies

Background: Pediatric acute liver failure (PALF) cause is indeterminate in 30-50% of cases (iPALF). Children with acute severe hepatitis of unknown etiology (SH-u) may evolve to iPALF. Hemophagocytic Lymphohistiocytosis (HLH), a hyper-inflammatory state with marked T-cell activation (ACT) often involves the liver. SH-u evolving to iPALF could have hyperinflammatory immune signatures before fulfilling PALF criteria, and may overlap with HLH. We compared immune dysregulation signatures of SH-u, HLH, known PALF, and healthy controls (HC). Method(s): From 2019-2021, 15 patients (pts) hospitalized with SH-u and 7 pts with known PALF were prospectively enrolled. Age dependent standard diagnostic studies were performed. SH-u was defined as ALT>500, INR <2, and no hepatic encephalopathy. HLH enrollees met 2004 criteria. High dimension T-cell immunophenotyping, cytokine and chemokine profiling was done for SH-u, HLH (n=5), and HC (n=16) blood samples. T cell ACT was identified by co-expression of surface ACT markers HLA-DR and CD38. CD8 effector memory (EM) ACT of >9% identified pts with significant T cell ACT vs HC. Normally distributed data were compared by a two-tailed t-test or an ordinary One-Way Anova test with Turkey's multiple comparison test. Non-normally distributed data were compared by the Mann-Whitney test or KruskalWallis test with Dunn's multiple comparisons test. P values <0.05 were significant. Result(s): Pts ranged from 4days to 19years old. No age/sex differences existed between groups. One SH-u pt had a prior COVID infection. No pts met MIS-c criteria. Two SH-u pts ultimately met PALF criteria (INR>2). All pts with SH-u had higher CD8 EM T-cell ACT (mean +/- SEM = 43.7+/-6.3%;range 9.2 to 81.3%) than HC (2.9+/-0.5%) or PALF (4.0+/-0.9%);p<0.0001. T-cell ACT in SH-u was < HLH (90.3+/-2.7%;p<0.0001;Figure 1). T cell ACT was noted in the CD4 compartment, but CD8 compartment ACT was much > CD4. SH-u CD4/CD8 ratio was reduced compared to PALF pts. Though T cell ACT was greater in SH-u vs PALF, ferritin was lower in SH-u compared to PALF (1212+/-568 vs. 39517+/-32149;p<0.01) and very significantly < HLH (32415 +/-14845;p =0.002). Ferritin was <500 mg/L in 47% of SH-u pts. Despite overlapping T cell ACT with HLH, only 2 pts SH-u pts had cytopenia. IFN-gamma driven chemokines, CXCL9 and CXCL10, were elevated in SH-u, compared to HCs but similar to HLH pts. As a proof of concept, 2 patients with SH-u were treated with Emapalumab (an IFN-gamma blocking antibody) along with other immune modulators resulting in complete liver and immune function recovery. Conclusion(s): SH-u is associated with T-cell ACT. HLH and SH-u with T cell ACT have similarly increased IFN-gamma activity. Ferritin, however, may not be a reliable screening for SH-u patients with significant T cell ACT. If validated in larger studies of SH-u, the findings suggest a role for IFN-gamma blocking agents in a subgroup of SH-u prior to the development of PALF or possible bone marrow failure.

Blended Learning for Secondary Schools in Nam Dinh Province to Satisfy New Standards: The Current Situation and Proposed Models

We offered blended learning models for high schools in Nam Dinh province to satisfy Vietnam's new criteria. These models were based on general approaches to issues, theoretical research, and field research based on surveys and anket questionnaires conducted throughout the area. The results of a survey demonstrate that high school teachers in Nam Dinh have gained a fundamental grasp of blended learning and have, in practice, embraced both online and face-to-face instruction, particularly during the height of the Covid-19 outbreak. However, there was not a standard model for blended learning, therefore it was only used by a few persons. In other contexts, the concept of "blended learning" referred to what was effectively a face-to-face session that was broadcast over the Internet without the necessary adjustments being made to the content, methodology, or evaluation. As a result, we offer a number of different ways to blended learning for high schools in Nam Dinh in order to improve the quality of education provided throughout the province.

Logistics Service Quality, Customer Satisfaction, and Loyalty During the COVID-19 Pandemic in Vietnam

The goal of the study is to examine and assess how the factors of logistics service quality provided by logistics service providers influence customer loyalty and satisfaction in Vietnam. This study employs samples of the Kansei technique. The article's data was gathered through an online survey of 388 distinct Vietnamese customers who used logistics services before and during the Covid-19 outbreak. After the data was obtained, it was evaluated using SmartPLS 3.0's Cronbach's Alpha test and structural equation model (SEM). Staff service quality, operational service quality, and technical service quality are the three factors that determine the quality of logistics services in the study. Out of the 10 proposed hypotheses, research findings show that five are acceptable. The Covid-19 Pandemic in Vietnam had a significant impact on all dimensions, but it had no effect on how satisfied customers were with the logistics service providers. Nevertheless, loyalty is considerably influenced by only one factor, which is customer satisfaction, and customer trust moderates the relationship between these two factors. As a consequence of that, several managerial implications have been proposed to help logistics service providers improve their services to attract and keep Vietnamese customers using their service in the long term.

Toward the Analysis of Graph Neural Networks

Graph Neural Networks (GNNs) have recently emerged as an effective framework for representing and analyzing graph-structured data. GNNs have been applied to many real-world problems such as knowledge graph analysis, social networks recommendation, and even COVID-19 detection and vaccine development. However, unlike other deep neural networks such as Feedforward Neural Networks (FFNNs), few verification and property inference techniques exist for GNNs. This is potentially due to dynamic behaviors of GNNs, which can take arbitrary graphs as input, whereas FFNNs which only take fixed size numerical vectors as inputs. This paper proposes GNN-Infer, an approach to analyze and infer properties of GNNs by extracting influential structures of the GNNs and then converting them into FFNNs. This allows us to leverage existing powerful FFNNs analyses to obtain results for the original GNNs. We discuss various designs of GNN-Infer to ensure the scalability and accuracy of the conversions. We also illustrate GNN-Infer on a study case of node classification. We believe that GNN-Infer opens new research directions for understanding and analyzing GNNs.

The Impact of Brand Equity on Consumer Intention: A Case Study for COVID-19 Vaccine Products in Vietnam

Maintaining and expanding brand equity is regarded as an essential component of brand development. Effective management of brand equity leads to more opportunities for brand extension and the ability to draw in more customers. Brand equity, in particular, has a positive impact on consumer purchase intention. The purpose of this study is to look into the relationships between brand equity and consumption intention from the perspective of Vietnamese customers of India's COVID-19 vaccine products. Primary data is aggregated from 475 Vietnamese citizens with different occupations and backgrounds 18 years of age or older. The findings of the study show that consumption intention is positively inspired by brand equity, including brand association and brand quality. If consumers perceive high brand equity, it will have a higher impact on promoting consumption intention to the brand. India's COVID-19 vaccine needs to invest more in building brand equity in the Vietnamese market if it wants to increase the consumption choices of Vietnamese people. To create a good brand association and brand quality for India's COVID-19 vaccine, it is necessary to focus on communicating the good properties of the Indian-made vaccine such as safe, high protective effect, high immunity and protection, and long duration of immunity of vaccines.

Medical-Waste Chain: A Medical Waste Collection, Classification and Treatment Management by Blockchain Technology

To prevent the spread of the COVID-19 pandemic, 2019 has seen unprecedented demand for medical equipment and supplies. However, the problem of waste treatment has not yet been given due attention, i.e., the traditional waste treatment process is done independently, and it is not easy to share the necessary information. Especially during the COVID-19 pandemic, the interaction between parties is minimized to limit infections. To evaluate the current system at medical centers, we also refer to the traditional waste treatment processes of four hospitals in Can Tho and Ho Chi Minh cities (Vietnam). Almost all hospitals are handled independently, lacking any interaction between the stakeholders. In this article, we propose a decentralized blockchain-based system for automating waste treatment processes for medical equipment and supplies after usage among the relevant parties, named Medical-Waste Chain. It consists of four components: medical equipment and supplies, waste centers, recycling plants, and sorting factories. Medical-Waste Chain integrates blockchain-based Hyperledger Fabric technology with decentralized storage of medical equipment and supply information, and securely shares related data with stakeholders. We present the system design, along with the interactions among the stakeholders, to ensure the minimization of medical waste generation. We evaluate the performance of the proposed solution using system-wide timing and latency analysis based on the Hyperledger Caliper engine. Our system is developed based on the hybrid-blockchain system, so it is fully scalable for both on-chain and off-chain-based extensions. Moreover, the participants do not need to pay any fees to use and upgrade the system. To encourage future use of Medical-Waste Chain, we also share a proof-of-concept on our Github repository.

Assessing human resource needs for digital transformation at enterprises and proposing solutions in human resource training for universities

Transforming the educational model for higher education in the context of digital transformation is an inevitable trend. This represents the right direction to take advantage of the 4.0 technology revolution, creating high-quality human resources to meet the requirements of the labor market. The purpose of the study is to analyze the appropriate higher education model in the context of the digital economy towards the development of high-quality human resources to participate in the operation of the digital economy. The requirements for the development of digital universities for countries in general and Vietnam in particular need to constantly innovate and reform the national education systems to further improve the quality and effectiveness of higher education, towards an education that adapts to the context of digital transformation and the covid 19 epidemic. The issue of the quality of human resources must be concerned by education systems to make breakthrough changes and should be prioritized by countries. The article uses qualitative, quantitative, comparative, survey survey and experimental data analysis methods. The survey was conducted on 100 businesses that have cooperation activities with the university through online form via email. The main results of the study provide solutions for adjusting the training methods and models at universities in Vietnam in response to the 4.0 technology revolution and the covid 19 epidemic.

The Effect of the Country of Origin on Brand Trust: A Case Study for COVID-19 Vaccines in Vietnam

Many factors influence brand trust, including manufacturer prestige, product value and quality, country of origin, media marketing, experience, and brand relationship. The purpose of this study is to assess the impact of the nation of origin on brand trust, using Vietnam as a case study for India's COVID-19 vaccine. A total of 407 Vietnamese people aged 18 and up participated in the survey. The findings of the study show that the nation of origin has a significant impact on brand trust. Specifically, the perceived country image has a negative effect on brand trust, the other two components of the country of origin are perceived value and perceived quality of product have a positive impact on brand trust in India's COVID-19 vaccine. Research results show that if the perceived country image of the country of production is perceived negatively, then there will be a negative impact on brand trust. According to research findings, people in Vietnam who are 30 years old or older, have steady occupations, know about India, have used Indian products in the past, and have strong brand trust in India's COVID-19 vaccinations. India needs to boost its country's image and develop communication to increase brand trust in Vietnam.

Moderating effects of Covid-19-related psychological distress on the cognitive process of entrepreneurship among higher education students in Vietnam

Purpose: This study aims to achieve two objectives: First, to investigate the moderating influences of Coronavirus-19 (Covid-19)-related psychological distress on the process of entrepreneurial cognition;and second, to close the gap between entrepreneurial intention and behavior of higher education institutions students. Design/methodology/approach: Scales from previous studies have been adopted to develop a questionnaire survey. An online survey questionnaire then is carried out to collect the data;the final sample includes 405 university students. The validity and reliability of scales are tested throughout Cronbach's alpha and confirmatory factor analysis. Hypothesized correlations were then tested via structural equation modeling. Findings: The results confirm the important roles of perceived behavioral control and entrepreneurial intention in encouraging entrepreneurial behavior, whereas attitude toward entrepreneurship is strongly and positively related to intention to engage in a business venture. Yet, subjective norms are not found to have an impact on entrepreneurial intention. Entrepreneurial attitude-intention link has been negatively moderated by Covid-19-related psychological distress. Also, Covid-19-related psychological distress can lessen the entrepreneurial intention–behavior linkage of higher education institutions students. Practical implications: The study provides useful recommendations for practitioners such as educators and policymakers to promote higher education institutions students' entrepreneurship, especially in the global crisis context of the spread of Covid-19. Social implications: Being aware of the effects of the Covid-19 pandemic on the entrepreneurship process and translations from intention into behavior to become entrepreneurs provide useful insights to nascent entrepreneurs, community and our society to limit the negative influence of the Covid-19 pandemic and help us overcome this crisis. Originality/value: Addressing the entrepreneurial intention–behavior gap is considered as the biggest contribution of this study. Moreover, the association between perceived behavioral control and entrepreneurial behavior, overlooked by previous studies, is also tested in this study. Furthermore, the findings confirm that psychological distress caused by Covid-19 can inhibit the cognitive process of entrepreneurship. © 2022, Emerald Publishing Limited.

A Plasma-Generating N-95 Respirator Decontamination Unit Created from a Microwave Oven

Wearing a mask population-wide is an important preventive measure in address-ing COVID-19 and potential future pandemics. We showed how a household microwave oven, a coat-hanger, and a coffee cup can generate plasma that can be used to decontaminate N95 respirators in less than 1 minute. We proved that microwave-generated plasma can reduce infectivity of the Tulane virus and the transmissible gastroenteritis virus (TGEV) on N95 respirators by > 3-log10. We further studied the Tulane virus by molecular assays to understand inactivation mech-anisms, and we found that the plasma damages both viral proteins and genomes. Spectroscopy of the plasma revealed OH and C-containing radicals as the most prevalent active species expected to cause virus inactivation. The respirators still maintained filtration and fit even after 10 cycles of the plasma treatment. We believe that microwave-generated plasma is an easily accessible respirator decontamination technique that everyone could use for safe respirator reuse. © 2021 by Begell House, Inc.

Protection of Female Workers' rights in Employment and Incomes in Vietnam

As an important task of the country's socio-economic development, protecting the rights of female workers in employment and income is concerned and implemented by international organizations and all countries in the world. The COVID-19 pandemic has been affecting the global economy and hurt the incomes and employment of many female workers. In Vietnam nowadays, there is an increase in the unemployment rate of female workers, gender inequality in employment and income, and the ability to secure their jobs and income. The article analyzes the current regulations and their implementation in the employment and income of Vietnamese female workers in the context of the COVID-19 pandemic. The article also proposes some recommendations on legal provisions related to training backup jobs, arranging and employing female employees, providing income support for female employees during leave due to the COVID-19 epidemic;and policies related to female workers and their employers. These recommendations will improve Vietnam's labor law on female workers' rights in employment and income and enhance the efficiency of human resource use and socio-economic development. © 2021 Polish Mineral Engineering Society. All rights reserved.

The Impact of Design Thinking on Problem Solving and Teamwork Mindset in A Flipped Classroom

Purpose: In this study, we presented the Design Thinking model called DITC (Design Thinking in Class) and conducted an experiment during one month with 197 engineering students at Hanoi University of Technology (HUST) to determine how this model could aid in the growth of problem solving and teamwork mindset in a flipped classroom. Method: A Design Thinking mindset questionnaire was given to 197 participants before and after this model was applied. A t-test was used to analyze the data. Findings: the DTIC model fostered students' mindsets such as empathy, holistic view, problem refraining, and teamwork. Students showed very positive feedback and reviews on the model. Implications to Research and Practice: DITC can assist students in grasping Design Thinking concepts, allowing them to understand real-world problems more effectively. This model can be used to support teamwork and problem-solving skills for online learning environments, especially during the Covid19 pandemic. We also included some suggestions for incorporating Design Thinking into the classroom so that this model can be applied more widely. (C) 2021 Ani Publishing Ltd. All rights reserved.

AI-Powered University: Design and Deployment of Robot Assistant for Smart Universities

This study presents four robot systems that utilize artificial intelligence techniques to assist students, teachers, and staff in the university. The goal of the assist robot systems is to reduce workload and enhance the effect in teaching and learning as well as improve the learning environment at university. The four robot systems including virtual assistant, telepresence, guide, and delivery robots were proposed and developed. In online learning, the virtual assistant robot supports students and teachers in learning and teaching by an interactive and informative learning environment and consequently maximizing learning outcomes. The telepresence robot allows students to follow the classroom at home or hospital in the case that students are unable to attend classes due to special reasons (Covid-19 pandemic, illness). The guide robot was developed as a physical robot which places or moves in the small range at the library, administrative building, restaurant, and residence to provide information such as book searching, freshman quiz, restaurant menu, events, and places. Finally, the delivery robot aims to deliver documents, books, and food/drink to students and teachers on the university campus in the motive of improving the quality of life and services. The motivation of this paper is highlighting the benefits of using robots in the development of smart-university. Experiments at Eastern International University showed that students are interested in the four robot systems and these robots enhance student engagement in learning and campus activities as well as significantly reduce the teacher’s workload. The virtual assistant, the telepresence, and the delivery robots gave great benefits in tackling the effect of the COVID-19 pandemic while the guide robot created exciting experience and productive outcomes for new students and visitors. © 2022 J. Adv. Inf. Technol.

Mechanism of the development of thrombotic thrombocytopenia in COVID-19 infected patients and after vaccination

Background: Abnormal coagulation profiles were frequently observed in severe Covid-19 infected patients while Covid-19 vaccine-induced unusual thrombotic events and thrombocytopenia. A high incidence of developing platelet-activating antibodies has been detected in these patients. However, the mechanism of what triggers the bodies to produce these antibodies and what else contributes to the development of this abnormal coagulation have not yet been revealed. Aims: We provide a mechanism to describe the development of thrombotic thrombocytopenia in Covid-19 infected patients and after vaccination Methods: We used Dynamic light scattering (DLS), Quartz crystal microbalance (QCM), and Single-molecule force spectroscopy (SMFS) to prove that Covid-19-Spike glycoprotein (SP) cluster platelet factor 4 (PF4). The response of platelets to the resulting PF4/SP complexes was investigated in platelet aggregation tests and visualized by confocal laser scanning microscopy. Based on binding features of PF4 to Covid-19-SP and current reports, we proposed a novel mechanism describing factors that trigger the bodies to produce platelet-activating PF4-antibodies and cause abnormal coagulation. Results: We found that Covid-19-Spike glycoprotein (SP) cluster platelet factor 4 (PF4) and switched the surface zeta potential of PF4 from positive to negative values. The binding of Covid-19-SP to PF4 is as strong and stable as binding to PF4/Heparin complexes. Importantly, the resulting PF4/SP complexes induced platelet aggregation at a critical concentration ratio. We notice many similar binding features of PF4/Covid-19-SP complexes as compared with auto heparin-induced thrombocytopenia antibodies. Our findings allow us to i) propose a mechanism that describes the development of platelet-activating PF4-antibodies in Covid-19 infected and vaccinated patients and ii) explain the abnormal clotting disorder in patients. Conclusions: We concluded that not only platelet-activating antibodies but also PF4/Covid-19-SP complexes activate platelets. PF4 binds stably to the virus explain also the fact that causes a higher frequency of blood clots observed after AstraZeneca vaccination as compared with that of Pfizer-BioNTech Covid-19 vaccine.