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Information and Communication Technologies (ICT) are becoming indispensable nowadays for the healthcare industry. The utilization of ICT in healthcare services has accelerated even faster after the commencement of the COVID-19 outbreak. This study aims to perform a scientometric analysis of scholarly literature on airborne diseases in the discipline of science and technology. It explores the recent advancement of internet technologies in healthcare to control the prevalence of deadly airborne illnesses by applying analytical approaches. It presents publication trends, citation structure, influential sources, co-citation, and co-occurrence network analysis using the CiteSpace tool. It identifies the important research topics, current research hotspots, most active research areas, and leading technologies in this scientific knowledge domain. It inferred significant results from analyses that will benefit researchers and the academic fraternity across the globe to understand the evolving paths and recent scientific progress of ICT in airborne disease management. © 2022 Association for Computing Machinery.
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Identifying and exploring emerging trends in news is becoming more essential than ever with many changes occurring around the world due to the global health crises. However, most of the recent research has focused mainly on detecting trends in social media, thus, benefiting from social features (e.g. likes and retweets on Twitter) which helped the task as they can be used to measure the engagement and diffusion rate of content. Yet, formal text data, unlike short social media posts, comes with a longer, less restricted writing format, and thus, more challenging. In this paper, we focus our study on emerging trends detection in financial news articles about Microsoft, collected before and during the start of the COVID-19 pandemic (July 2019 to July 2020). We make the dataset accessible and we also propose a strong baseline (Contextual Leap2Trend) for exploring the dynamics of similarities between pairs of keywords based on topic modeling and term frequency. Finally, we evaluate against a gold standard (Google Trends) and present noteworthy real-world scenarios regarding the influence of the pandemic on Microsoft. ©2022 Association for Computational Linguistics.
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Today, Big Data technologies and the generalization of the use of digital tools by students allow us to build large bodies of data on their behavior. After the arrival of the pandemic (Covid 19), learning analytics has become an emerging trend in Moroccan universities. It offers advantages and challenges for online learning. To answer questions related to the exploitation of this data which may provide useful information to language teachers in the context of specific lessons or learning environments. A quantitative analysis was conducted for the collection and evaluation of the student interaction process for distance language courses. We have found that the main potential of digital learning of French as a foreign language (FFL) lies in the provision of authentic linguistic resources accessible to learners. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
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COVID-19 has impacted the National Health Service provision, creating urgency for departments to adapt and adopt new ways of delivering healthcare. The purpose of this service evaluation was to determine the emergence of telehealth in orthotic services across the UK in response to COVID-19. A survey exploring telehealth use was distributed online to orthotists approximately 6 months after the first peak of COVID-19 in the UK. It gathered information on telehealth prevalence, allocated appointment length and waiting times, clinician access to technology and clinicians' opinions on the efficacy of telehealth. The survey received 77 responses with over 90% of respondents reporting using telehealth. Most reported that they expected telehealth to remain part of the service, post COVID-19. Thematic analysis produced two main themes: the impact of COVID-19 and challenges still to overcome. Findings suggest that the pandemic has resulted in a backlog of patients waiting for an orthotic appointment, with services currently understaffed and lacking resources. For telehealth to be effective orthotists must have access to appropriate technology and training on how to use telehealth platforms, be provided with appropriate guidance on which patients are appropriate for telehealth consultations and given appropriate appointment times to enable safe and effective care.
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Affected by COVID-19, the maintenance process of machine tools is significantly hindered, while unmanned maintenance becomes an emerging trend in such background. So far, three challenges, namely, the dependence on maintenance experts, the dynamic maintenance environments, and unsynchronized interactions between physical and information sides, exist as the main obstacles in its widespread applications. In order to fill this gap, a bio-inspired LIDA cognitive-based Digital Twin architecture is proposed, so as to achieve unmanned maintenance of machine tools through a self-constructed, self-evaluated, and self-optimized manner. A three phases process in the architecture, including the physical phase, virtual phase, and service phase, is further introduced to support the cognitive cycle for unmanned maintenance of machine tools. An illustrative example is depicted in the unmanned fault diagnosis on the rolling bearing of a drilling platform, which validates the feasibility and advantages of the proposed architecture. As an explorative study, it is wished that this work provides useful insights for unmanned maintenance of machine tools in a dynamic production environment. © 2022
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Various issues influence customer happiness in the service industry. The ultimate goal is to meet consumer preferences and tastes. However, various factors, including quality of service, professionalism, sensitivity, reliability, and consistency to achieve happiness. Nonetheless, for this study, the fundamental ones included loyalty, trust, and satisfaction. While various aspects affect operations in the service industry, the three are fundamental for this study in achieving customer happiness. These factors determine a customer’s willingness to spend as a happy and satisfied customer will likely recommend the quality of service. However, due to changes in dynamics in the service industry, these factors could potentially change with emerging trends and pandemics, as in the case of the COVID-19 pandemic. The study reviewed other studies’ findings and evaluated what other researchers had conducted and found the hospitality industry presented was the most researched. Ideally, this means that the industry leads in preferences for researchers based on its changing consumer preferences and tastes that shape consumer happiness levels. The study used a hypothetical approach in relating variables from 30 sources that shape the findings. In the long term, the future of customer happiness in the service industry relies on achieved satisfaction levels. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
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Purpose The purpose of this study is to present a comprehensive knowledge mapping and an in-depth analysis of pro-environmental travel behaviour research to better understand the global trend in this field that have emerged between 2000 and 2021. Design/methodology/approach In this study, a visual analysis of 187 scholarly articles between the year 2000 and 2021 related to pro-environmental travel behaviour (PETB) is presented. Using the knowledge mapping based on CiteSpace it presents the current research status, which contains the analysis of collaboration network, co-citation network, and emerging trends. Findings The results revealed that the PETB is an emerging topic, which has an increased number of publications in recent years. Though the collaboration network between scholars is dispersed, some countries exert stronger collaboration network. Researchers from England, USA and China have worked more on this topic comparatively. "Pro-environmental norm" is found to be the major concern in regard to PETB, and the theory of planned behaviour (TPB) is the most common theory used by the scholars around the world. Ten articles with the highest citations are found to be the most valuable articles. COVID-19, value orientation, negative spillover, carbon footprints, biospheric and adolescent are some of the latest keywords based on the past two years' literature review, all of which have huge research potential in the future. Originality/value This study is among the pioneers to shed some light on the current research progress of PETB by using a bibliometric analysis to provide research directions for scholars. Moreover, this study utilized latest data from 2000 to 2021. The studies which are published before and during the pandemic are also incorporated.
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The relationship between entrepreneurial orientations and internationalization has been examined extensively, but the recent developments in the rapidly changing environment point to the need for further examination of international entrepreneurs’ orientations in their own embedding contexts and beyond. There is ample evidence suggesting a positive relationship between the firm’s combined overall international entrepreneurial orientation, its extent of innovativeness, export (or international marketing), collaborative, and socio-cultural orientations and the scope and speed of its internationalization. The aim of this article is to examine the challenges and developments among the integral components of international entrepreneurial orientations and their associated activities, strategies, and resources to integrate their interactive impacts for better understanding of the broader concepts of international entrepreneurship orientations and international entrepreneurship capital in the increasing complexities of entrepreneurial internationalization processes.
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Exposure to technology impacts children’s perception and conceptualisation of the way devices they regularly use work. This prompts us to study if almost two years of online teaching, enabled by a broad range of technologies, have influenced the way children imagine a search companion would look and behave when helping them perform school-related search tasks. We conducted a 2-stage study during which children ages 9 to 11 drew and described their imaginary search companion;they also chose a few desirable and non-necessary traits. By following the protocol of a study conducted pre-pandemic, we contextualise salient altered expectations that we attribute to exposure to technology prompted by the COVID-19 pandemic. We highlight and discuss emerging trends observed from the analysis of data gathered before and after the extensive online experience and how these will guide the design of functionality of a search companion for the classroom. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
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This study was designed to evaluate the emerging trends of research on mRNA vaccines. Altogether 3056 research articles related to mRNA vaccines published since 2010 were retrieved from the Web of Science database, based on which a co-citation analysis was conducted using CiteSpace. A total of 12 clusters were derived, all of which were classified into three periods according to the content and publication time of articles: (1) The preliminary exploratory period before early 2010s, when the potential of mRNA to induce immune response was evaluated; (2) the growing up period from early 2010s to 2019, when the stability and immunogenicity of mRNA vaccines were improved and the clinical development of products were pushed forward; (3) the rapid maturity period after the outbreak of COVID-19, when two products for COVID-19 were authorized for the first time. The approval of COVID-19 vaccines is an encouraging start, while the enormous potential of mRNA vaccines remains to be explored. Future research on mRNA-based infectious disease vaccines will focus on further optimizing mRNA modification and delivery, solving problems of the approved vaccines in real world, investigating mRNA vaccines for other infectious indications, and developing self-amplifying or thermostable vaccines. Future research on mRNA-based therapeutic cancer vaccines will focus on screening proper neoantigens, enhancing the delivery of mRNA into antigen-presenting cells and overcoming suppressive tumor microenvironment.
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Background: In order to fully understand the frontier hotspots and development trends of ideological and cultural psychology research in the context of the COVID-19 epidemic. Subjects and methods: We used the software CiteSpace to analyze the literature on ideological and cultural psychology research from the core database in Web of Science under the COVID-19 context. Results: The country/institution visualization network graph includes 58 nodes and 85 connections;The visual network graph of the research institution includes 109 nodes and 61 connections;156 nodes and 552 connections are obtained, as shown in keyword co-occurrence graph and keyword cluster graph analysis;Keyword time-zone graph and keyword timeline graph are obtained. Conclusions: Relevant conclusions were drawn. First, the research on ideological and cultural psychology in the context of the COVID-19 epidemic began in 2020. The number of relevant literatures in 2021 has grown substantially. In 2022, the academic community still pays much attention to this field. Second, countries like the United States, the United Kingdom, and China are at the forefront in terms of the number and influence of documents issued. Research institutions such as Duke Univ, Univ Gothenburg, and Univ British Columbia ranks top in terms of documents number issued. Third, the research literature in this field can be divided into 11 clusters with relatively concentrated themes. Fourth, after the research hotspots explosively increased in this field in 2021, there have been fewer new hotspots in 2022. Future hotspots are likely to emerge on the basis of conservatism-prejudice. The current shortcomings of this research field are also discussed in this paper, namely, lack of innovation and less generation of new research hotspots. The above conclusions comprehensively demonstrate the current situation and development trend of ideological and cultural psychology research in the context of the COVID-19 epidemic and provide a basis for further related research.
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The COVID-19 global pandemic has transformed work and employment patterns within organizations. Two key emerging trends visible at the organization level are as follows. First, employees being asked to leave (which has mostly been seen within the aviation, hospitality, and travel industries) and second, employees asking to work part-time or on a contractual basis (e.g. within the education and healthcare sectors). This so-called ‘new normal’ has also given rise to an unprecedented increase and diffusion of digital workforces being engaged either full or part time within organizations. Thus, through our study, we aimed to contribute from a theoretical standpoint by exploring this phenomenon through the lenses of swift trust theory (STT) and psychological contract theory (PCT). Our goal was to understand how firms use gamification to engage their digital gig workforce. We collected our data from organizations that used some form of gamification in the process of engaging their employees and extended our inquiry to understand whether they did the same in engaging their gig workforces. We restricted our data to only those firms that had engaged white-collar gig workers. Overall, our study contributes to the literature by extending the theoretical debate pertaining to the use of STT and PCT theory to understand the phenomenon of digital gig workforce engagement and productivity. © 2022 Informa UK Limited, trading as Taylor & Francis Group.
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The present study explored COVID-19 outbreak impacts on the food system in terms of agro-food production, distribution networks efficiency, and emerging food consumption patterns according to food experts' perspectives. Individual level data were selected from a sample of 59 executive managers of different domains representing agro-food businesses, agro-food cooperatives, and agro-food consulting firms and public institutions. The empirical analysis addressed the effects of the COVID-19 crisis to all the stages in the food chain and attempted to indicate the factors that could influence the trajectory from "farm to fork" under uncertain circumstances. Factor analysis elicited the underlying dimensions of experts' viewpoints toward the operation of the food system during COVID-19 pandemic. Data were also elaborated through hierarchical and k-means cluster analysis and the cluster structure was further validated by discriminant analysis. A two-cluster solution emerged, revealing differences in experts' perceptions toward the aftermath of the pandemic on agriculture (socioeconomic impacts on rural areas, impacts on agricultural production), food processing businesses (decline in the economic viability of food businesses, sharp economic downturn in the food industry, economic recession, incentives for innovation), food distribution networks (distribution channels fallout, food supply disruption), and consumers' food habits and preferences (increasing interest in health protection, adoption of unhealthy eating habits, demand for innovative and sustainable foods). These segments were identified as "skeptical food experts about COVID-19 impacts" (33.9%) and "alarmed food experts about COVID-19 impacts" (66.1%). Our findings highlighted the main disruptions that the food sector should overcome to meet consumer demand for safe and healthy food products and also ensure food availability and food system resiliency.
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Takotsubo cardiomyopathy (TTC) is often acute with a high mortality rate and is subject to relapse. Meanwhile, its complex pathogenesis has attracted increasing attention. To learn more about TTC, CiteSpace V.5.7 R5W was used in this study to analyze the research status, hot spots, and trends in TTC before 2020. The keywords, co-citation references, as well as country and institution distribution were explored. A total of 2,349 papers were reviewed. The United States, Italy, and Germany were the main countries studying TTC and had good cooperation relationships. The Mayo Clinic topped the institution list, but the rate of inter-institutional cooperation was not high. Research hotspots include disease features, auxiliary diagnostic methods, epidemiology, and pathophysiological mechanisms, and the latest ones are complications related to prognosis, such as cardiovascular abnormalities caused by myocardial infarction and normal or non-obstructive coronary arteries (MINOCA), atrial fibrillation, stroke, cancer, and COVID-19. In conclusion, the research of TTC is in a hot development period. Our research will help clinicians and researchers to better understand TTC and its research status by providing a foundation for research objectives. In doing this, our research will help to provide better scientific management, diagnosis, and treatment for patients with TTC, which will in turn improve the prognosis of this condition.
Subject(s)
Atrial Fibrillation , COVID-19 , Takotsubo Cardiomyopathy , Germany , Humans , Prognosis , Takotsubo Cardiomyopathy/diagnosis , Takotsubo Cardiomyopathy/epidemiology , Takotsubo Cardiomyopathy/etiologyABSTRACT
This study aims to analyze and visualize the research hotspots, evolution, and emerging trends of blended learning in a holistic way. In this study, 1657 bibliometric records together with 48310 citations are collected from SCIE, SSCI and A&HCI databases. CiteSpace is adopted in the analysis and visualization. Results show: enhancing collaborative learning, pattern, and teacher training are the research hotspots in Period I, instructor perception, possible future direction, and research trend are the research hotspots in Period II, general science classroom, blended learning environment, and measuring student engagement are the research hotspots in Period III;the themes of covid-19 remain similar along the development, while the themes of digital health education change a lot;blended learning environment, online component, covid-19 pandemic, procrastinating behavior, active blended learning, and observed learning orientation are the emerging trends. These findings could provide research directions for future studies in blended learning. © 2021. International Journal of Emerging Technologies in Learning.All Rights Reserved
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The application of human factors and ergonomics in transportation is an example of human-automation interaction. Since the year 2020, the covid-19 pandemic has become an emerging factor that interacts with transportation from epidemiological and ergonomic perspectives. This study aims at capturing the emerging trends of covid-19 related human factors in transportation through conclusions from a systematic literature review of relevant publications. Analyses of content and bibliometrics were accomplished by using tools such as VOS Viewer, Citespace, Harzing, and MaxQDA to establish the findings of emerging trends in this field. Key findings from these analyses are: (1) Since the start of the covid 19, countries over the world have administered a variety of travel-related controls in an attempt to contain or slow down the spread of the virus both domestically and internationally. (2) The enforced travel restrictions not only impacted the spread of the pandemic but also transformed people’s activity and travel patterns into a new form. (3) The altered activity and travel patterns further brought changes in transportation policy design, air quality control, and industry disruptions. (4) The pandemic has motivated people to adopt new HCI technologies, and some previously HCI technologies are being challenged because of the pandemic mitigation policies. © 2021, Springer Nature Switzerland AG.