ABSTRACT
The world has seen various diseases in different variants, numerous pandemics in the twentieth century like COVID-19. Fly infections are the fundamental driver of contaminations. COVID-19 declared a global pandemic with major impacts on economies and societies around the world. The diagnosis of COVID19 or non-COVID-19 cases early detection at the correct separation early stages of disease are one of the main concerns of the current coronavirus pandemic. At present, accurate detection of coronavirus disease usually takes a long time and is prone to human error. To address this problem, the proposed Deep learning and Design of COVID19 detection based on Relative Eccentric Feature Selection (REFS) Using Deep Vectorized Regressive Neural Network (DVRNN) for corona virus the early detection of the COVID19 virus. Initially collects the COVID19 sample test dataset, then the raw dataset trained into preliminary process is used to remove unwanted noise. After that preliminary processed dataset trained into the feature selection process is done to identify the best features of COVID19 using Ensemble recursive selection. Further, the proposed DVRNN algorithm is done to classify the accurate detection of coronavirus. The proposed model would be useful for the Timely and accurate identification of various stages of coronavirus. Therefore, it can detect the accurate results of COVID19 effectively and accomplish good performance compared with previous methods. © 2023 IEEE.
ABSTRACT
The Covid-19 pandemic highlighted the cardinal intent, in which digital technologies play a key role in building a sustainable future, revealing disparities between digitally equipped companies and those that are still implementing digital solutions. It showed the difference between urban, rural and remote areas with good connections. This paper is divided into two parts. The first aim is to evaluate the performance of the digital economy and society according to its basic dimensions and quantify and compare the position of 28 European Union countries (considering Great Britain as a member) in the international area using DESI - (Digital Economy and Society Index). It will look to evaluate the overall change in the development of the Slovak Republic between individual periods based on the main dimensions of the composite index. The second part aims to find the clusters of the European Union countries by using data on their rankings within the five dimensions of DESI. Correlation analysis is used to meet the first aim, cluster analysis is used to meet the second aim. The data are obtained from the Ministry of Investment, Regional Development and Informatization of the Slovak Republic and the database of the European Centre for Digitization. The results show a statistically significant correlation in the rankings of the EU countries between the analysed years 2016-2020. Moreover, among the European Union countries, there are internally homogeneous and external heterogeneous groups of countries with respect to ranking within DESI dimensions. Cluster analysis has not been used so far in analysing DESI in the existing literature. Therefore, the results of this paper fill such a research gap.Implications for Central European audience: Quantification and comparison of the position of 28 European Union countries in the international area using DESI can help to identify and improve the digital competitiveness of European Union countries. Knowing five dimensions of DESI, its specific subdimensions, and indicators can help to identify controversial areas to which the state should pay attention. This paper deals, in more detail, with the position of Slovakia in the digital competitiveness of the EU using DESI © 2023, Central European Business Review.All Rights Reserved.
ABSTRACT
The prolonged global coronavirus pandemic (Covid-19) has affected all aspects of life, economy, and society, especially small and medium businesses. To meet this challenge, many companies are transforming models and reorganizing production and operations to adapt to this situation. These companies have adopted a variety of philosophies to remove non-value-Added activities from their production processes to maintain efficiency, flexibility, and profitability. In the context of Industry 4.0, solutions are ready to combine automation technology together with the Lean manufacturing approach. Furthermore, when it comes to efficient use of resources (financial, labor, materials, machine, and equipment), Industry 4.0 should be applied to Lean Processes. Thus, this article shows how to apply the Lean method to optimize plant design to cut waste, improve the efficiency of input resources, increase labor productivity by reducing labor costs, waiting (man-To-man;man-machine), reduced movement, and redundancy of operations in the workflow. Especially, the paper uses the SLP (Systematic Layout Planning) method to arrange the areas, material flow, and supply chain in the factory, Lean application to visualize the factory and combines IoT (Internet of Things). Moreover, using automation and Lean Production theory will support much for factory construction in the future, minimizing irrationalities when applied in practice. The result of the paper will mention a case study on the design and simulation of a face mask plant © 2022 IEEE.
ABSTRACT
Introduction: The main feature of modern society today is the digital way of life combined with digitalisation. It affects every aspect of life. Today's main drivers of change are modern electronic communications and high-speed internet connections or services created by digitalisation. Thus, digi-talisation stimulates economic growth by creating new jobs, especially in the information and communication sector, increasing the savings of individuals and public and private companies, increasing productivity and providing new opportunities for personal development and motivation. Therefore, the digital economy poses significant challenges to the EU tax system. The identified tax challenges are nexus, data and characterisation, standard tax avoidance practices and direct and indirect tax risks. To address these challenges, the concept of Tax Administration 3.0 should be implemented. Under this con-cept, digital tools will make tax administration better organised and more efficient, both in combating abuse and improving the quality of tax reporting and compliance. Aim: This study aims to present the digital economy's direct and indirect tax challenges from an EU perspective. In addition, it will also present the current situation of the digital levy proposed by the European Commission and the level of Europe's digital performance among EU member states. Method: Following the Digital Economy and Society Index (DESI) method-ology, Europe's digital performance varied widely among EU member states between 2015 and 2020. Findings: The results show that the digital sector is highly involved in tax plan-ning practices and significantly affects Europe's digital performance. Moreover, there is no consensus on implementing the digital levy in EU member states since only a few of the EU member states have implemented the digital levy. Based on the findings, the author proposes introducing the digital levy in all EU member states to restore and maintain the sustainability of public finance, especially after the crisis COVID-19. © 2022 by Sabina Hodžić.
ABSTRACT
This article surveys the effects of what can be called two confluent agents of economic and societal transformation, digitally enabled automation and the covid-19 pandemic, on the contemporary economy. Examining shifts in work, occupations, labor markets, and consumption, the article ventures some conjectures on the consequences of this confluence, particularly across developed economies. The article contends that, while long-term automation tends to disrupt jobs and occupations which involve screen-facing work and, to a lesser extent, object-facing work, person-facing work is most exposed to the reallocation shocks precipitated by the covid crisis. Where consumption is concerned, both automation and pandemic-driven shocks lead to mutually reinforcing shifts. Seen together, automation and the pandemic phenomena can be regarded as intertwined socioeconomic stressors which will likely lead to even more divergent trajectories between the winners and the losers in the new economy. [ FROM AUTHOR] Copyright of American Behavioral Scientist is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)
ABSTRACT
Innovative technologies often face acceptance challenges. This is especially true when they constitute disruptive innovations. Disruptive innovations can forcefully alter the way things are done in the economy and society and have differential impacts for social groups. Legitimacy – the fit between an innovation, and society at large – is an important explanatory factor of the success of disruptive technologies. The micro-judgements of legitimacy that individuals make with regards to a technology, can help understand why some innovations succeed or fail. Likewise, users’ actions when using said innovations may indicate how acceptable the technology is to users. This paper analyses how users judge, and use, the NHS COVID-19 Test & Trace app. Preliminary findings suggest that individuals’ micro-legitimacy judgements are strongly related to the decision to use the app or not, and that users have adopted a number of workaround behaviours to resist or compensate for the app’s functionality. © 2022, IFIP International Federation for Information Processing.
ABSTRACT
The COVID-19 pandemic has led to the globalization of services worldwide, due to restrictions that have been imposed for a certain period. In this context, the digitization of services, both in rural and urban areas, contributes to the development of Smart City and its integration into communities. Romania is a country that does not have digitized services, which are under development, but the COVID-19 pandemic has created a forced "opportunity" to accelerate this process. Also, the areas that had digitization projects, being integrated in Smart City projects, were advantaged during the period of restrictions during the state of emergency in 2020 or the state of alert from 2020 to 2022. The digitization of services depends on several factors such as infrastructure and internet connectivity. At European level it is the DESI index (index of the digital economy and society) which highlights digital competitiveness in the Member States of the European Union, the main areas of analysis being human capital, broadband connectivity, integration of digital technologies by businesses and digital public services. This study will focus on the development of digital public services between 2020 and 2021 and will see if they have been affected by the coronavirus pandemic. The indicators analyzed will be "people who use the Internet to interact with public authorities", "level of Internet access of households", "households with broadband access". The paper will highlight the state of digitalization of public services in Romania and how these services are ranked in the European context.
ABSTRACT
The article examines some current issues of digital personalization in systems transformation, digitization and the COVID-19 pandemic. Reflections pursue the goal of seeking and discovering new issues and right solutions in today's dynamic crisis environment, new values and the value of the meaning of life and capital with the management of information and knowledge, digital personalization and innovation in organization and society. [ FROM AUTHOR] Copyright of Management & Education / Upravlenie i Obrazovanie is the property of Prof. Dr. Assen Zlatarov University and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)
ABSTRACT
The article is the first to empirically analyze the effects of digitalization on corruption prevalence by using a sample of 27 European countries over the period 2015-2020. The authors utilize the digital economy and society index capturing five diverse aspects of digital transformation: connectivity, human capital, use of the internet, integration of digital technology, and digital public services to reflect digital performance. They also consider influences of specific digital activities, such as online transactions, business digitization, e-commerce, and e-government. The results indicate that digitalization, especially the use of internet services and digital public services, reduced the prevalence of corruption in European countries. However, the effect of digital transformation only appears in the long run. Notably, the authors highlight the importance of online administrative procedures on combating corruption, especially during the COVID-19 pandemic.
ABSTRACT
Covid-19 has been a serious issue in the Philippines for the past two years. Its spread has taken a toll on the country's economy and society. Furthermore, the populous has been suffering throughout the pandemic as new cases and deaths are increasing. These massive problems warrant research on modelling and predicting this pandemic. Although there are numerous research with regards to using statistical modelling, Machine learning, deep learning, and artificial intelligence to model and understand the pandemic throughout the world, few pieces of researches focus on the Philippines alone. In addition to that, simple models are seen to fit the Covid-19 data more than complex ones. With these in mind, the authors fit and modelled Philippine new cases of Covid-19 using Sklearn Polynomial and MLP regressors. It was found out that Polynomial models fit the entire dataset from January 2020 to September 2021, but MLP model fits the recent September 2021 data better. Further research using different countries as case studies or different models is recommended. © 2021 IEEE.
ABSTRACT
Coastal ports play a pivotal role in ensuring the healthy development of China's national economy and society and the smooth flow of global supply chain. The novel coronavirus pneumonia epidemic is impacting the global supply chain system. In this context, China's coastal port throughput prediction has become the focus of attention. Therefore, it is necessary to establish a model to accurately predict the throughput of coastal ports in China. This paper constructs the economy-industry bi-directional prediction model. It also provides a possibility for forecasting the throughput of China's coastal ports during the 14th Five-Year Plan period. On the one hand, build a model to measure the relationship between economic growth and coastal port throughput growth. On the other hand, the model is constructed to measure the correlation between major goods such as coal, iron ore and crude oil. Thus, another result of coastal port throughput is obtained. Given the corresponding weights of the two results, the final prediction results are obtained. It is concluded that on the basis of 2020, China's coastal port throughput will reach 10.7 billion tons by 2025, with an average annual increase of 2.5% during the 14th Five-Year Plan period. China's coastal port throughput growth rate will slow down. The scale of transportation demand should be fully demonstrated in the future port infrastructure construction. © 2021 IEEE.
ABSTRACT
Pandemic COVID-19 creates devastating impacts on healthcare, education, economy, and society. Herd immunity against COVID-19 would permit society to return to normal. To achieve herd immunity against COVID-19 harmlessly, a significant portion of a population would need to be vaccinated. India is the second most populated country globally, already administered the second-highest number of doses to its citizen successfully. The Government of India’s popular web portal/app ‘CoWIN’ is used to register and monitor vaccinations. It helps Indians to find the nearest available vaccination slots. In the present work, an Android application is developed to enhance the search facility provided by ‘CoWIN’ to make it more convenient. It helps the users to find all available vaccination slots within a 15 km radius in one search. This application also provides a weather forecast for the searched location and search date. Users are also able to know how much fees are charged by a center during search time. This application has tried to make the ‘CoWIN’s search by map facility more informative. It is expected that this application will improve the user’s vaccination slots search experiences and make the searchings more convenient. © 2022, Springer Nature Switzerland AG.
ABSTRACT
In December 2019 the world was informed of the first infections with the SARS-COV2 virus, and the crisis spread rapidly, producing a pandemic of the coronavirus disease-causing crises in health, economy, and society. Paraguay decreed strict containment, which was the most urgent and rapid response to the scourge, to minimize the rapid spread of the disease's contagion, all activities were paralyzed, but satellites continued to exploit data that could reveal connections between the pandemic and the environment. This research focused on the years 2019 to 2021, beginning of the confinement, in certain cities of the country, observing some atmospheric parameters. In 2021, the Paraguayan Chaco had 117,142 fire outbreaks and the Eastern region had 155,402. Fires are the emitters of NOx gases and aerosols to the atmosphere, knowing their distribution is very important because they are the precursors of ozone, a very harmful gas to human health, as well as aerosols. The importance of this lies in the fact that Paraguay has several populations considered vulnerable because they are located in the vicinity of the major recurrent fires in July to September, which with climate change and the outbreak of the pandemic increase the health crisis, which warrants this work. © 2021 IEEE.
ABSTRACT
In April 2020, with the development of the nationwide epidemic prevention and control work, the epidemic situation of New Coronavirus has entered a stable stage. However, the resumption of production and recovery is crucial to maintain the stable development of economy and society. Imminent. Therefore, how to co-ordinate the epidemic prevention and control and return to work has become another major challenge for governments at all levels. The joint prevention and control mechanism of the State Council issued a document requiring all localities to 'conduct accurate prevention and control in different regions and levels, and coordinate the prevention and control of epidemic situation and the restoration of economic and social order'. In this context, China Unicom gives full play to the unique advantages of multi-source, massive and integrated big data of operators, and helps enterprises to resume work and production from four aspects: real-time insight of regional return to work rate, grid risk index assessment, risk analysis of regional population inflow, and risk analysis of employees' travel mode, so as to provide support for enterprise decision makers and formulate scientific policies and means, gradually realize the full return to work. © 2021 IEEE.
ABSTRACT
The article discusses the significance and trends of digitalisation in tourism. Phases of digital technologies development in tourism and factors influencing the uptake of digitalisation in tourism are presented. It was found that Europe is the world's leading tourism destination with 51 % of international tourists arrivals and 39 % of global international tourism receipts in 2019. However, the negative impact of the COVID-19 pandemic on tourism caused 69 % declines international tourist arrivals in Europe in 2020. This is due to the fact that since the beginning of the pandemic travel restrictions have been implemented and the external borders of the European Union have been closed. The negative impact of the COVID-19 pandemic was studied and it was found that the share of tourism contribution to GDP in European member decreased in 2020. Countries where tourism contributed the highest share to GDP in 2020 were Croatia (10,2 %), Greece (8,7 %) and Portugal (8,1%). It has been proven that digital technologies and data play important role in combating the pandemic Covid-19 and tourism recovery. Main tools of digitalisation in tourism that help to make travel safe and healthy are digital COVID certificate, mobile applications and web sites that propose information about epidemiological situation, restrictions and requirements for travellers. Digital Economy and Society Index (DESI) of European Union countries are analysed. According to DESI the most advanced countries of European Union in 2018 were Denmark (70), Finland (68), Netherlands (68) and Sweden (65), while Croatia (35), Poland (36), Slovakia (39), Bulgaria (40) and Greece (40) have the lowest scores on the index. Recommendations for tourism recovery in post-COVID-19 are proposed. Main directions of tourism recovery should be: collaboration between destination management organisations and tourism enterprises, promotion of sustainable and inclusive tourism development, implementation of innovation and digital technologies in the process of tourism services consumption.