ABSTRACT
In Vietnam, the impact of COVID-19 on the economy is also huge, the economy was severely affected with the gross domestic product (GDP) growth at the lowest level in a decade, and most important industries saw a decline in growth, employment, and growing income is seriously affected (Dat, 2020). The COVID-19 pandemic has been affecting many aspects of the economy and society;many enterprises, business households, and cooperatives had to suspend operations, reduce production scale or rotate production, directly affecting the income of employees. This article uses the employment survey data of the General Statistics Office in 2021 and uses labor law (National Assembly, 2019) to analyze the influence of the COVID-19 pandemic on reducing the income of workers in Vietnam. The model estimation results show that the influence of the COVID-19 pandemic on income reduction does not differ between male and female workers, and has a strong influence on the group without professional and technical qualifications. Based on the findings, several suggestions are proposed to improve workers' income in the context of COVID-19. © 2023 The Authors.
ABSTRACT
Cloud infrastructure enables individuals, organizations, and enterprises to offer scalable and elastic resources to support business operations remotely. The demand for digital transformation encourages communities and technical professionals to adopt cloud computing and automation platforms for facilitating their resource capacity, including operating systems, networks, and applications. Of cloud-based applications for social good, virtual education platforms play an important role to re-duce the cost and effort for trainees and trainers during practical courses, especially in the context of pandemics such as Covid-19. Nonetheless, the task of setting up practical environments with virtual machines, network elements, and software programs is the burden of the system that hosts many training courses with numerous trainees or resources. Hence, this research provides the mechanism for defining and automatically implementing the hands-on laboratory environments for information technology (IT) training. Specifically, we design and implement a concurrent scheme and local repository for deploying multiple environments with high performance in large virtual classrooms. The total time to finish environmental settings for learners is kept stable to meet the satisfaction of users in case of the remarkable growth in the number of environments and trainees. © 2022 IEEE.
ABSTRACT
Virtual cybersecurity training platforms play an important role in developing the knowledge and practice skills of students in educational institutions and universities. It helps learners can access virtual laboratories through web interfaces without any geolocation restriction, especially in the Covid-19 pandemic. Furthermore, instructors can monitor and understand learners' behaviors in practice sessions by analyzing actions and logs from the virtual platform. But, to realize this feature, such a platform must gather data during cybersecurity training for data mining tasks. In this paper, we introduce a virtual laboratory platform to facilitate cybersecurity training courses, namely vLab. In addition, we apply clustering analysis to the actions of learners to better understand the capabilities of trainees in resolving given challenges in digital forensics subject. With the built-in behavior analyzer in vLab, instructors can find out the common mistakes, and the reasons for learners' failure results, or identify whether they actually conduct experiments to get answers for digital forensics challenges or not. © 2022 IEEE.
ABSTRACT
Currently, many applications of information search tourism are limited in the COVID-19 pandemic using a search engine. However, most application service online has not supported directly, matching end users with their preferences to find suitable tourist places. This paper has presented a proposed model using the Context Matching algorithm mostly based on the Smartphones;matching with user’s preferences and behaviors allows users to find tourism packages and regions. The experimental results show that the proposed model achieves significant improvements in matching user preferences for the domain under dynamic uncertainty. We posit that our novel approach holds the prospect of improvements in user preferences for tourism and weather in the COVID-19 Pandemic. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
ABSTRACT
Covid-19 has been causing a large-scale pandemic, along with the rapid development of information technology. Information technology means such as digital applications will be one of the effective tools to help manage public investment and investment in general in Vietnam. Public investment management at autonomous universities in Vietnam is in the final stage of completion in terms of procedures, legal documents, and implementation. This study was designed to shed light on the factors that affect the management of public investments at Vietnamese autonomous universities. The study's data was gathered from a survey of 126 public investment managers at autonomous universities in Vietnam. Factor analysis and multivariate regression methods were used to analyze the influence of factors on public investment management at autonomous universities in Vietnam. According to research findings, the capacity of public investment management agencies at autonomous universities;Distribution of funds for the implementation of public investment projects;administrative procedures, legal provisions, and the actual context affect public investment management at autonomous universities in Vietnam. With Standardized Coefficients = 0.482, distribution of funds for implementation of public investment projects at schools at autonomous universities were the most influential factors. The research results are the foundation for proposing solutions to improve the efficiency of public investment management at these universities in Vietnam such as promulgating legal documents, building public investment management processes suitable to the characteristics of universities, developing, and proactively implementing works in investment management and operating results of public investment in autonomous University. © 2021 by the authors;licensee Growing Science, Canada.
ABSTRACT
OBJECTIVE: A new pandemic coronavirus causing coronavirus disease-2019 (COVID-19), initially called 2019-nCoV and successively named Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2). The COVID-19 refers to the disease while the SARS-CoV-2 refers to the virus and is characterized by a rapid contagious capacity able to spread worldwide in a very short time. The rise in the number of infected patients and deaths is of great concern especially because symptoms are vague and similar to other forms of flu infection and corona syndrome infections characterized by fever, fatigue, dry cough, and dyspnea. According to the latest guidelines published by the World Health Organization (WHO), the diagnosis of COVID-19 must be confirmed by quantitative reverse transcription polymerase chain reaction (rRT-PCR) or gene sequencing of specimen obtained from throat, sputum and blood samples. However, the limitations due to logistics, as well as low sensitivity and specificity diagnostic tools currently available have been reported as the main cause of high incidence of either false-negative or positive results. PATIENTS AND METHODS: The purpose of the present translational research protocol is to discuss and present the original findings from our research team on new diagnostic technique to detect four Coronaviridae family members (SARS-CoV-2, SARS-CoV, HCoV and MERS-CoV), highlighting the methodology, the procedure and the possible advantages. Moreover, the authors review the current epidemiology, precautions and safety measures for health personnel to manage patients with known or suspected COVID-19 infection. RESULTS: Implementation of an effective and rapid plan of diagnosing, screening and checking is a key factor to reduce and prevent further transmission. This procedure based on rRT-PCR could be of great help to decisively validate the results obtained from more conventional diagnostic procedures such as chest computed tomography (CT) imaging and chest ultrasound. CONCLUSIONS: This translational diagnostic tool will assist emergency and primary care clinicians, as well as out-of-hospital providers, in effectively managing people with suspected or confirmed SARS-CoV-2.