Analysis of Network Security Protection Based on Digital Economy

Since the first half of 2020, the COVID-19 epidemic has continued to spread across the country. Based on this background, with the continuous promotion of a new round of technological innovation and industrial transformation, and the combined impact of the epidemic factors, the digital economy has become a new pillar of the steady development of China's macro economy. Emerging industries have provided good opportunities for the digital economy. Cyber security has risen to the height of national sovereignty, which is the direct embodiment of national competitiveness and the foundation for the healthy development of the digital economy. However, with the concentration of massive data and the progress of information technology, the data is easily and conveniently used, personal privacy security, corporate business secrets and even national security suffered serious damage, and network security protection has also become the bottleneck of the digital economy to a new level. It is particularly important to strengthen the network security governance capacity, improve the network security laws and regulations, and implement the hierarchical protection system. © 2023 SPIE.

Technology transfer in e-communication for small and medium enterprises as promoters of innovation and competitiveness

Globalization, technological innovations, and the coronavirus disease (COVID-19) pandemic have promoted disruptive changes in buying and selling negotiation models through e-communication. As a result, Small and Medium Enterprises (SMEs) have been forced to adapt to online channels. Considering market relevance, this article describes the survey results with 11 SMEs regarding their adherence to digital media. Moreover, a case study of a selected company demonstrated barriers and propulsions to digital adequacy. The aim was to promote SMEs' competitiveness through technology transfer, focusing on e-communication and strategic digital planning. The results show that the insertion of technology through digital media depends on the knowledge of the tools used in this medium. Therefore, despite being ready to use, SMEs have not yet fully leveraged digital media. Organizational barriers, such as lack of time for those responsible, lack of training and knowledge, and strategic planning, were observed. However, environmental factors such as competitive pressure and innovation-related policies are positive for insertion. Thus, there is room for companies to invest in digital strategic planning focused on improving sales, customer relations, and competitiveness. © 2022 IEEE.

Technological and digital transformation in cooperatives in Antioquia

This article examines the innovative dynamics in technology and digital transformation of cooperatives in Antioquia in the present phase of globalization. This analysis was crossed by the Covid-19 pandemic, it addresses the elements required in cooperatives to adapt to the demands of technological and digital innovations during times of crisis. The methodology used was quantitative through a questionnaire sent electronically to 801 cooperative managers during the year 2020, and a response was obtained from 72 of them. According to the findings, it can be established that hypothesis H1: 0.70 of the cooperatives invest in technology to improve social performance, is not confirmed;therefore, the alternative hypothesis is the relevant one. In conclusion, cooperatives make technology investment decisions based on their internal operations (loyalty) and not on customer needs. In addition, few entities invested in digital technology during the crisis caused by Covid-19.

Report on the 28th Asia and South Pacific Design Automation Conference

The 28th Asia and South Pacific Design Automation Conference (ASP-DAC 2023) was held at Miraikan, National Museum of Emerging Science and Innovation, Tokyo, Japan, 16 char6319 January 2023. ASP-DAC, started in 1995, is a high-quality and premium conference on Electronic Design Automation (EDA) like other sister conferences such as Design Automation Conference (DAC);Design, Automation Test in Europe (DATE);International Conference on Computer Aided Design (ICCAD);and Embedded Systems Week (ESWEEK). ASP-DAC 2023 adopted an in-person conference style with online features which is the first time in ASP-DAC. Even though the last two ASP-DAC conferences were held as virtual conferences due to the COVID-19 pandemic, ASPDAC 2023 provided opportunities for face-to-face communication not only at sessions, but also at coffee breaks, banquet, and so on for in-person attendees. Online access mainly for participants who were difficult to physically attend was also provided as much as possible.

Are Animal Disease Reservoirs at Risk of Human Antiviral Exposure?

Novel viral pathogens are causing diseases to emerge in humans, a challenge to which society has responded with technological innovations such as antiviral therapies. Antivirals can be rapidly deployed to mitigate severe disease, and with vaccines, they can save human lives and provide a long-term safety net against new viral diseases. Yet with these advances come unforeseen consequences when antivirals are inevitably released to the environment. Using SARS-CoV-2 as a case study, we identify global patterns of overlap between bats and elevated pharmaceutical concentrations in surface waters. We model how freshwater contamination by antivirals could result in exposure to insectivorous bats via consumption of emergent insects with aquatic larvae, ultimately risking the evolution of antiviral-resistant viruses in bats. The consequences of widespread antiviral usage for both human and ecosystem health underscore urgent frontiers in scientific research, antiviral development, and use. © 2023 American Chemical Society

Reflection on the transdisciplinary approach involving students in educating communities about COVID-19

Introduction: The disruption brought about by the COVID-19 pandemic to higher education teaching and learning, as well as to the community engagement opportunities, has also brought about some new learning opportunities. The purpose of the research was to explore the views and to describe their thoughts of the School of Healthcare Sciences (SoHCS) and the Faculty of Engineering, Built Environment and Information Technology (EBIT) undergraduate students' on the use of robotics and technology in educating the communities about COVID-19. Method(s): Participatory Action Research (PAR) was used for this study since the students from SoHCS and EBIT were invited to be active participants as future professionals. A total of 27 students volunteered and participated in in-depth interviews. The responses were analysed using ATLAS.ti from nine data sets for qualitative content. Data reduction, coding, and decoding analytic processes were used to analyse and interpret each of these qualitative data forms. Ethical approval was obtained from the research ethics committees in the Faculty of Health Sciences as well as the Faculty of Engineering, Built Environment and Information Technology. Result(s): Five themes that emerged from this study are namely: COVID-19 and community challenges and behaviour;COVID-19 communication;COVID-19 knowledge and understanding;COVID-19 myths and COVID-19 robotics and technology education. Conclusion(s): COVID-19 has proven to be a driver of technology innovation and can create new high-touch and high-quality services. Using information technology and robotics in health sciences or in community engagement projects would minimizes the exposure of health care workers and members of the communities to possible infections. These findings also reflect on the importance of engaging the students when interventions are planned because they play an important role as members of the community within the university and outside the university.Copyright © 2022

Technology Trends 2023: The Competence Challenge

Competitiveness demands continuous competence growth. At year-end 2022 and within the steady state of post-COVID-19 change, Vector Consulting, with IEEE Software, contacted industry experts about their challenges and resolutions. A lack of competence is the biggest challenge identified in our annual industry survey with IEEE Software. The growing lack of competence is perceived across industries as both the major short-term as well as midterm challenge. Technology companies increasingly suffer from inadequate competencies, both in terms of quantity and quality. In turn, their innovation and competitiveness decrease.

Mobile Learning for teaching journalism from a remote television set during COVID-19

This research describes the implementation of a system that allows a television studio to operate through cell phones and mobile applications, this innovation was developed in a university in Peru for television journalism courses. This is an applied research with a qualitative approach, which describes the development of this innovation from the experience of its creator and details how different technologies were made to converge so that students could broadcast news programs from their homes by operating the equipment located on the television set of tv. The results allow us to conclude that the pandemic has led to the invention of educational solutions that hybridize television technologies, cell phones, mobile applications and the Internet, from this convergence it was possible for students to develop journalistic educational skills remotely. © 2022 Latin American and Caribbean Consortium of Engineering Institutions. All rights reserved.

Analysis of the Use of Robots for the Second Year of the COVID-19 Pandemic

This article examines 152 reports the use of robots explicitly due to the COVID-19 pandemic reported in the science, trade, and press from 24 Jan 2021 to 23 Jan 2022 (Year 2) and compares with the previously published uses from 24 Jan 2020 to 23 Jan 2021 (Year 1). Of these 152 reports, 80 were new unique instances documented in 25 countries, bringing the total to 420 instances in 52 countries since 2020. The instances did not add new work domains or use cases, though they changed the relative ranking of three use cases. The most notable trend in Year was the shift from a) government or institutional use of robots to protect healthcare workers and the Public to b) personal and business use to enable the continuity of work and education. In Year 1, Public Safety, Clinical Care, and Continuity of Work and Education were the three highest work domains but in Year 2, Continuity of Work and Education had the highest number of instances. © 2022 IEEE.

Crowd-Resourcing in Response to the COVID-19 Pandemic: A Resource Transformation Perspective

Driven by recent calls for more research that examines forms of crowdsourcing used to address social challenges, in this article, we contribute to the broader literature on open innovation and crowdsourcing by investigating how crowdsourcing platforms enable the transformation of crowd-based resources. We have focused on initiatives with broader social purposes, rather than those that are for-profit and single firm-driven, where the resulting resources are usually solely controlled by a specific organization. By analyzing 19 crowd-based initiatives with a similar context—responding to the coronavirus disease pandemic—we studied a variety of initiatives and identified three distinct types of crowdsourcing platforms that enable resource transformation: resource pooling;resource cocreation;and resource enabling beyond the platform boundaries. We depict how access to and control of resources vary across initiatives. We have framed our contribution as crowd-resourcing, providing a reference model for the design of platforms based on the type of involvement and expected degree of resource transformation. IEEE

Towards User2Machine Model for Higher Education - Enforced by Covid19 Pandemic

The Covid19 pandemic hit the higher education system hard. Suddenly, universities around the world are obliged to offer online educational instructions to students. Innovative technologies made this transition possible, and new technologies have opened prospects, connected societies, and created new ways of communication based on the three models in which humans initially communicated: user2user, user2society, and user2society2user. Now, fostered by the covid19 pandemic and with advancements in technological innovations, "User2Machine”-interaction, as a model, has been introduced to online education. This model is helping in creating different methods of communication channels regardless of the time and location of the user. Eventually, this has resulted in forming new interaction modes in the virtual social space. In this paper the User2Machine-interaction model is proposed, focusing on technologies and functionalities affecting this model and contributing to changes in the way users interact with systems. Technologies such as Artificial Intelligence (AI), Virtual Reality (VR) and Chatbots are described to see where do they fit in the new innovative model, and how they affected online education and the ecology of higher education during and post covid19 pandemic. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Digital Transformation and Technological Innovation on Higher Education Post-COVID-19

The university is an important pillar in sustainable development;however, COVID-19 imposed new dynamics that called for rethinking university praxis to achieve this mission, and although the systematization of good practices is a powerful mechanism for understanding educational success, this perspective of positive change has been little developed. Hence, the present study aimed to identify positive cores of faculty in their successful post-COVID-19 performance. A qualitative methodological approach was deployed, with the Netnography method, complemented with elements of positive psychology, appreciative inquiry, and management of formative potentialities. The online community consisted of 1238 university teachers from 10 Latin American countries, who participated for two months in an appreciative interview as an asynchronous journey of constructive proposals, for the active co-construction of post-COVID-19 success factors. The findings reveal multiple affirmative topics grouped into nine positive cores, identifying two target categories: digital transformation and technological innovation, as well as the processes directly associated with their dynamization. Finally, the epistemic implications of the findings in theory and practice, and their relevance in the creation of a formative agenda of positive change for Latin American Higher Education, are presented. © 2023 by the authors.

Services Development, Technological Innovation, and the Embedded Location of the Agricultural Global Value Chain

This study aimed to examine the impact of services development and technological innovation on the embedded location of the agricultural global value chain (GVC), and the interaction between the two in fifty-seven countries (regions) around the world. This study constructed an econometric model for empirical testing based on theoretical analysis. The results showed that services development and technological innovation contributed to the embedded location of the agricultural GVC, and there was a significant substitution effect between them. A sub-group test for different income levels showed that the influence of services development and technological innovation on the embedded location of the agricultural GVC was positive in high-income and upper-middle-income countries (regions), while their influence on the embedded location of the agricultural GVC was negative in lower-middle-income countries (regions). A significant substitution effect between services development and technological innovation is always present. Quantile regression results showed that the influence of services development on the embedded location of the agricultural GVC was significantly positive at all quantile points, but the significant influence of technological innovation and the interaction between the two on the embedded location of the agricultural GVC was mainly concentrated in the low and middle quantile points. From the perspective of services development and technological innovation, this study applied the analysis framework and research methods of the global value chain to the analysis of the global agricultural value chain, expanded the research scope of the global value chain, and provided a theoretical basis for countries (regions) to further deepen their agricultural global production network and agricultural GVC.

Technological Innovations in Response to COVID-19: Research Agenda Considering Marginalized Populations

This chapter presents an interdisciplinary research agenda for understanding the impacts COVID-19 response has had on our use of technology. The widespread unprecedented mandates on social distancing have forced a large majority of nearly 330 million Americans to rely on technology for work, education, and crucial societal functions. Using the Ecology framework, this research agenda identifies the domains of influence for the use of technology—from the individual and community to the organizational and societal levels. This chapter proposes a series of questions focused on the framework and offers a catalog of research questions as a launchpad for future research. This agenda serves as a guide for scholars and practitioners interested in understanding the influence of technology on the expansion or reduction of vulnerabilities for socially marginalized populations. The findings of the review suggest an increase in research on meso-, exo-, techno-, and macro-level interventions of technology use during COVID-19 and that some marginalized populations are not researched as much as others. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Viewing the changes in community annoyance due to aircraft noise over the times

More than 60 years have passed since the introduction of jet aircraft to civil aviation, and technological innovations have made aircraft much quieter. Nevertheless, people still complain that they experience severe suffering from aircraft noise. The changes in lifestyles, values concerning the sound environment, and aircraft operating conditions including the air traffic control system, over time, may have influenced the differences in annoyance responses. This paper overviews and considers the changes over time in the aircraft sound exposure level around the airport and the community annoyance caused by aircraft noise. Then it discusses the issue of recent noise complaints associated with the introduction of new air traffic management systems and flight routes as well as views the impact of coronavirus pandemic over the last two years or longer. Finally, it gives a minor consideration to how we should deal with these changes in the annoyance response. © 2022 Internoise 2022 - 51st International Congress and Exposition on Noise Control Engineering. All rights reserved.

Towards A Deeper Understanding of the Relationship between Structural Reconfiguration Capacity, Technological and Non-technological innovations, and Firm Performance

Small and medium-sized manufacturing enterprises, the backbone of the Southeast Asian economy, are struggling to operate and maintain profitable growth in the face of the COVID-19 epidemic. During the recovery process, technological and non-technological innovation is a major factor in enterprise efficiency and profitability. However, it is unclear what drives manufacturing enterprises to innovate in technological and non-technological approaches and how they choose to implement innovation to keep their businesses growing and successful. Therefore, to answer this issue, this research develops and empirically tests a model based on dynamic capabilities and innovative perspectives utilizing World Bank Enterprise Survey data from 789 manufacturing enterprises in Southeast Asian countries. The hierarchical regression model assists create prediction equations to test technological and non-technological innovation as the mediators of structural reconfiguration and innovation investment on firm performance. The results reveal that structural reconfiguration and innovation investment impact technological and non-technological innovation. Additionally, structural addition and investment in formal R&D have a moderated impact on technological innovation. Finally, firm performance may be boosted by organizational innovation. © The Author(s) 2022.

An overview of blockchain technology in STAMINA project

The future of the healthcare sector and its systems are beginning to take shape by combining technological innovations with traditional techniques to generate new and efficient solutions for patient care and data storage. Most conventional medical information management and storage systems are centralized, which means there is a risk of data loss in the event of malicious attacks or even natural disasters because of the single point of failure that centralized systems have. Blockchain technology is decentralized and emerging, offering the potential to significantly revolutionize how data is stored and managed in the healthcare industry. This paper presents the advantages of using blockchain in the healthcare sector, as this technology has a strategic role in both the management of stored data and the creation of predictive systems that could prevent a pandemic like the one generated by the SARS-Cov-2 virus. We present different existing studies and the method addressed in the ongoing STAMINA project. © 2022 IEEE.

The Impact of Artificial Intelligence on Financial Institutes Services During Crisis: A Review of the Literature

Artificial Intelligence (AI) is the general field that covers everything related to importing "intelligence” to computer systems in order performing tasks which require human intelligence, this is achieved by using algorithms that can detect patterns, generate insights from the data presented to them, to apply them to future decision-making processes and predictions, Artificial intelligence is a new concept of technological innovation where different technologies, processes and methods have been combined to create alternative solutions which are precise and to the point to enhance the economies as well as the competitive edge of the organization. The implications of the AI technology have been seen in various fields of life including medical automotive as well as financial industries. Financial institutes with crisis face challenges to deal with during to improve it quality and efficiency, so now days the financial services are under strain and challenges due to the wake up of the Covid-19 pandemic, Therefore, many financial institutes shift to implementing AI in its services to enhance it services, satisfy their customer and increase productivity. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Unfolding innovation lab services in public hospitals: a hospital FabLab case study

Along with the first pandemic wave of COVID-19, many makers' initiatives shed light on the innovative potential of developing computer assisted machinery services for the health sector. Even since before that, collaborative innovation structures such as FabLabs have been arising in public health institutions, which indicates the increasing demand for technological tools as well as innovation assistance in the public health sector. However, how FabLabs facilitate innovation processes contingent on hospital context is a question that needs to be further explored. In this article, a single case study on the Hephaïstos FabLab at the Bicêtre Hospital in France is developed in order to understand the role that a FabLab service can play in fostering innovation in a hospital ecosystem. The results show how innovation is stimulated by the FabLab proximity, the methodological approach developed by the FabLab team and the participants' profiles. These insights are pertinent for hospital managers to help identify strategies and ensure continuity of a FabLab service. © 2022 IEEE.

The technological innovation effect of industrial chain under the ‘double cycle' pattern in the post epidemic era

In order to improve the economic benefits of enterprises under continuing influence of COVID-19, the technological innovation effect of industrial chain under the ‘double cycle' pattern in the post epidemic era is studied in this paper. The fractional planning and integral planning functions of the industrial chain are obtained by constructing the CCR model, and the BCC model calculation of the innovation effect of the enterprise industrial chain is realised by the Chames-Cooper transformation. The data efficiency value of technological innovation effect of industrial chain under the ‘double cycle' pattern is obtained via the SBM network model for analysis on the technological innovation effect of industrial chain. The experimental results show that the effect of industrial chain technological innovation is analysed from the aspects of main business income and the profit margin of enterprises extending the industrial chain and connecting the industrial chain. The highest profit margin after connecting the industrial chain technological innovation is 34.2%, which proves that technological innovation can improve the economic benefits of enterprises. Copyright © 2023 Inderscience Enterprises Ltd.