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The disruption in management education caused by COVID-19 was significant, creating a noteworthy impetus for new research. Given that COVID-19 has transitioned from pandemic to endemic, it is an opportune time to retrospect the contributions of related research to shape the future of management education. Using the SPAR-4-SLR protocol, a systematic literature review was conducted on management education research relating to COVID-19 published between 2020 and 2022. A total of 56 relevant articles were found in and retrieved from the Web of Science database and subsequently analyzed using descriptive and content analyses. The descriptive analysis revealed a steep increase in research on the impact of COVID-19 on management education over time, with most research appearing in The International Journal of Management Education. The contributions came from various countries, with the top five being the USA, the UK, Australia, India, and China. The content analysis showed that most research adopted empirical methodologies while self-determination theory emerged as the most popular theoretical lens for study. The related research revolved around five major themes—i.e., digital teaching and learning, collaboration and partnership, embracing uncertainty and building resilience, transformation and innovation, and developing an entrepreneurial mindset—and provided implications for management education in the new normal, wherein the priority is focused on enhancing education quality and preparing future business leaders for profound challenges in the new normal, thereby necessitating the development of innovative pedagogies and leadership competencies. © 2023 The Authors
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COVID-19 has caused a devastating effect in every aspect across the world. The pandemic brought life to a standstill. Frontline workers are working day and night to treat patients and save lives. As critical is the timely and quick detection of this communicable disease, it necessitates the need for a diagnostic system that is automatic and as accurate as possible. The number of false negatives and hysteresis must be as low as possible. CT scans of the lungs can help in quicker detection of the presence of the virus as opposed to RT-PCR test. The purpose of this article is to present a survey of current scientific work on CT scan classification techniques, outlining and structuring what is currently available. We conduct a systematic literature review in which we compile and categorize the latest papers from top conferences to present a synopsis of CT scan images data classification techniques and their issues. This review identifies the present state of CT image classification research and decides where further research is needed. A review paper discusses different classification methods for CT scan images, including a comparative study of major classification techniques. © 2022 Copyright for this paper by its authors.
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This research aims to study the effectiveness of online teaching, from student and faculty perspectives, during the Covid-19 Pandemic in higher education institutions across India. Using the Student's Evaluation of Online Teaching Effectiveness (SEOTE) scale, a survey was conducted among 1042 students in different Indian universities. The scale measured student faculty contact (SFC), cooperation among students (CAS), active learning (AL), prompt feedback (PF), time on task (TT), high expectations (HE), and diverse talents and ways of learning (DTWL). The research instrument also included three open-ended questions. The quantitative data were analyzed using descriptive statistics and Human Development Index (HDI). The Online Teaching Effectiveness Index (OTEI) value was moderate at 0.62. Challenging aspects of online education were found to be access, learning experience, technology, resources, and infrastructure, the need for face-to-face interaction, and the health hazards of long screen time. The survey of 60 faculty members recorded online teaching to be sustainable, backed by institute support, flexible, and creates the possibility of peer learning. Lack of training resources, unsuitability of course design and practical courses for online mode, and the need for an overhaul of pedagogy were the challenges. Policymakers and digital companies should include infrastructural changes and investments at both the institutional and digital platforms level. © 2023 The Authors. Global Business and Organizational Excellence published by Wiley Periodicals LLC.
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Objectives: To determine how the addition of health literacy interventions may generate additional benefits and impact quality of life and health outcomes for those with atrial fibrillation (AF). Material(s) and Method(s): Searches were carried out according to six databases (MEDLINE, EMBASE, Web of Science, CINAHL, Emcare, Cochrane library) alongside gray literature (Google Scholar). Studies were included if their evaluated interventions improved any dimension, typology, or aspect of health literacy. Citations were exported into Covidence for duplicate removal, and article screening. Extraction will occur using a standardized extraction tool and studies will be synthesized using best evidence synthesis. The Downs and Black's checklist will be used for the risk of bias and the assessment of the overall quality of evidence will utilize the Grading of Recommendations, Assessment, Development, and Evaluation approach (GRADE). Result(s): A total of 2851 articles were identified for screening, with 59 included for quality assessment according to the Downs and Black checklist. The majority of articles involved randomized controlled trials or pre-post studies. Health literacy interventions included brochures (n = 3), web-( n = 12), visual-( n = 10), and smartphone-based (n = 14), to group sessions (n = 8) and specific integrated AF clinics (n = 12). General themes from these articles involved mostly improvements in AF knowledge, adherence/activation, and quality of life/clinical outcomes. Conclusion(s): This review extends the concept of precision health to also include health literacy interventions. Further research with aims to clarify the impact of specific modes of interventions will greatly assist in the application of health literacy interventions in conjunction with precision health in those with AF.
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This paper attempts to give an overview of the system which is designed keeping social distancing guidelines in mind. Our system will detect in real-time, if the person in the captured live video is wearing a mask properly or not using a mask detecting algorithm developed using deep learning and neural networks with an accuracy of 96.05%. If and only if the person is wearing a mask, they will be allowed to scan the iris and hence record their attendance, which can be stored in excel or CSV formats. The location of iris biometric is translated to a real-life position in the 3D space with the resolution of 0.lmm. To scan the located biometric this system comprises a robotic arm. End effector of this robotic arm traverses to the translated position of the person's eye to scan iris with an iris scanner. The system employs a 'four degrees of motion' robotic arm that can autonomously align itself to the iris with an accuracy of 96.86%. It is battery operated and has a cylindrical workspace with maximum range of 300mm, hence it is easily deployable in institutions requiring secure authorization while monitoring COVID-19 safety norms. © 2022 IEEE.
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The pandemic compelled more exposure to online media in different forms like online education, interactions, gaming, and collaboration, which aggravated the cyberbullying issue. Cyberbullying can now occur in several different mediums due to the renewed lifestyle challenges spawned by the pandemic. Hence, it is imperative to assess the antecedents of cyberbullying behaviour (CBB). General Strain Theory (GST) is taken as a grounded theory to understand the underlying mechanisms of strain and anger and their impact on deviant outcomes like CBB. The current study adds to the GST literature by investigating the association between stress and anger, leading to cyberbullying behaviour. The study also examines the extent to which parenting factors (monitoring, communication, and trust) moderate adolescents' involvement in cyberbullying. An online survey was used to collect data from 221 high school Indian students for this purpose. As per the results, there is a direct relationship between strain, anger, and cyberbullying. The study confirms an indirect relationship between strain and cyberbullying through anger. The findings suggest that parental influences are important in moderating the relationship between strain and anger in adolescent cyberbullying behaviour. The study recommends strategies for parents, educators, and healthcare providers when dealing with cyberbullying behaviour.
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Due to the pandemic, there has been an increasing demand and awareness for health insurance policies, particularly by the senior population. Towards preparedness, social media has risen to prominence as the most effective means of disseminating health and insurance-related information. The research investigates the factors impacting older users' motivation to use mobile social networking sites (MSNS) to promote health-related insurance. The online questionnaire was administered to 201 participants in the age group of 60 plus years. PLS-SEM was used to test the hypotheses based on constructs derived from the protection motivation theory (PMT). The findings exhibited the associations between different dimensions like fear of COVID, usefulness, social efficacy with protection motivation. Protection motivation positively impacts the intention to purchase insurance products among senior's social media users. The study offers implications for insurance companies to further capitalise on the potential of senior social networking users. Copyright © 2022 Inderscience Enterprises Ltd.
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Purpose The paper aims at examining the employability skills relevant in the unprecedented times of turbulence in businesses due to COVID-19 in the Indian context. Design/methodology/approach The study examined the recent skills model through an extensive literature review. Exploratory factor analysis (EFA) is conducted to identify the employability skills perceived as important by multiple stakeholders. ANOVA was applied to examine the differences in perceived importance attached to these dimensions by the three stakeholders. Findings The ten-factorial solution was extracted based on the results of EFA The findings offer a fresh perspective on digital competencies perceived as most important to ensure successful long-term employability, followed by business fundamentals and behavioral skills. Research limitations/implications The study has been able to map perceptions of employers, faculty and students based in Delhi-NCR regarding essential employability skills. It would be worthwhile to validate the proposed employability skills framework across different geographical sections of India and ascertain if the perceptions vary in the employment sector and employer size. Practical implications Although the study has put forth practical employability skills, there is a need for convergence between the business stakeholders and Higher Education Institutes (HEIs) to develop a broad skill-base for the fresh graduates. The study will prepare them for the volatile business environment. Originality/value Many previous studies have lacked the employability skill framework in the Indian context from the multiple stakeholders' perspective. The HEIs can rethink their current employability, including the most prominent skills required in succeeding in a technology-enabled business environment transformed by the pandemic.
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In recent years, COVID-19 vaccine-related issues and viewpoints have aroused significant anxiety and concern. Several research studies are extracting, tracking, and evaluating prevalent public opinions on social media and making efforts to curb the misinformation spread. But, there is still a large audience that perceives vaccination as a threat, which in turn reduces our ability to fight effectively against the pandemic. This bibliometric study aims to explore the distribution of capabilities of researchers, institutions, and countries, research themes, and frontiers of Covid-19 vaccine-related misinformation trending on social media since the rollout of these vaccines. The Scopus online database was used for analysis. Excel 2016 and VOSViewer (version 1.6.17) software were used to report the visualizations of infodemic literature on COVID Vaccine on social media. Annual publications, top contributing authors, top-cited journals and author affiliation, leading subject areas, the top country in publication, and keyword network were among the key findings. Future researchers can use these findings to create a baseline before studying Covid-19 vaccine misinformation on social media. Furthermore, it may help in compiling crucial knowledge, trends, and lessons from existing researches to provide useful insights to handle similar phenomena in the future © 2021,Journal of Content, Community and Communication.All Rights Reserved
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Purpose: The purpose of the study is to explore the suitability of social media influencers (SMIs) for communicating public health messages via social media platforms. The study identifies key persuasive communication components that influence individuals' attitudes and, subsequently, intentions to follow health-related information shared by SMIs. Design/methodology/approach: Qualitative interviews with healthcare workers and interactions with 332 active social media users via structured online questionnaires were used for data collection. Structural equation modelling was used to analyse responses. Findings: Results indicate that SMIs' credibility, SMI–individual homophily and quality of information shared by the SMI are the significant factors determining individuals' attitudes towards the information received. Furthermore, the individual's attitude significantly impacts their intention to follow information shared by the SMI. The study thus verifies the mediating role of attitude in persuasive communication. Research limitations/implications: The current study can serve as a foundation for future work to examine the suitability of SMIs for tasks other than marketing. Practical implications: The study provides insights for planning and implementing SMI-sourced communication in the public health context. The study enhances the understanding of the tested relationships and thereby increases scholars' and practitioners' ability to leverage SMIs for health-related communication. Originality/value: Whilst SMIs are attracting increasing attention in consumer markets, the study suggests that they can be used in public health communication. Considering the coronavirus disease (COVID-19) situation, the empirical study provides insights into SMIs' role in persuasive public health communication amid a health crisis. Peer review: The peer review history for the article is available at: https://publons.com/publon/10.1108/OIR-01-2021-0012. © 2021, Emerald Publishing Limited.
Subject(s)
COVID-19 , Erythema Nodosum , Herpes Zoster , Pityriasis Rosea , COVID-19 Vaccines , Humans , India , SARS-CoV-2ABSTRACT
The nCOVID-19 has wreaked our normal lifestyle and has forced us to adopt the protocols under the new normal regime. The conventional diagnostic approach is expected to change in the process as well. Our research group is proposing an aid to such diagnostic approach. The group has proposed in this article the power of using two such diagnostic measures that has been the pivot for many diagnoses to the doctors. The art of using natural language processing based symptomatic measure in combination with a machine learning based approach based on medical vitals can collectively reduce the error percentage of detection. The approach proposed in this article is a first of its kind and the authors have achieved acceptable results on the accuracy front. The other reason of proposing such a technique is the way a fusion algorithm can arrive at the right results from two parallel algorithms doing the same task. Another objective of the group was to provide a valuable opinion to the doctor in form of such an architecture. The proposed architecture can be used at any point of care facilities without any requirement of escalation of the existing amenities. © 2021 IEEE.
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The new coronavirus COVID-19 disease was declared a global public health emergency by the World Health Organization on January 2020. In the current dismal situation of the COVID-19 pandemic, effective management of patients with pneumonia and acute respiratory distress syndrome is of utmost importance. Due to the current lack of effective pharmacological concepts, this situation has caused interest in re-considering historical reports on the treatment of patients with low-dose radiation therapy for pneumonia. Although these historical reports are of low-level evidence per se, hampering recommendations for decision-making in the clinical setting, they indicate effectiveness in the dose range between 0.3 and 1 Gy, similar to more recent dose concepts in the treatment of acute and chronic inflammatory/degenerative benign diseases with, for example, a single dose per fraction of 0.5 Gy. Thus, we review the effects and mechanism and highlight the evidence for low-dose radiation that may be viable and useful in counteracting the acute inflammatory state induced by critical stage COVID-19 in the treatment of COVID-19 pneumopathy.
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The Covid-19, a pandemic situation, effects the economy of the whole world severely and is gaining much huge attention in the field of research currently across the globe. The Internet of things (IoT) technology is playing a great role for taking care of the patients by monitoring and controlling the symptoms and is very much essential for the developing countries, where monitoring of health of huge population has its own challenges. So the IoT and its amalgamation with mobile ad hoc network (MANET) acts as base of networks where devices send information among each other wirelessly thus also named as wireless mesh networks (WMN), in which various nodes are either stationary or allied with static position. Sensors and different other devices involved in e-healthcare sector used in WMN converse wirelessly and hence become the main gate to a numerous susceptibilities. The main aim of this research study is to evaluate the performance of reactive, secured and hybrid routing protocols for throughput as one of the important quality of service (QoS) parameters in absence as well as in presence of distributed denial of service (DDoS). The NS-2(network simulator) is used to simulate AODV (ad hoc on-demand vector, SAODV (secured AODV) and hybrid wireless mesh protocol) in scenario of changing nodes. The comparative analysis concludes the HWMP as most suitable protocol among the other two routing protocols with impact on throughput for handling DDoS attacks. This research study aids in providing implications to enhance existing protocols and alleviate the consequence of DDoS instigated by such attacks. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2021.
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The uncertainty in all spheres of higher education due to the COVID-19 pandemic has had an unprecedented impact on teaching-learning and assessments in medical colleges across the globe. The conventional ways of assessment are now neither possible nor practical for certifying medical graduates. This has necessitated thoughtful considerations in making adjustments to the assessment system, with most institutions transitioning to online assessments that so far have remained underutilized. Programmatic assessment encourages the deliberate and longitudinal use of diverse assessment methods to maximize learning and assessment and at present can be utilized optimally as it ensures the collection of multiple low-stake assessment data which can be aggregated for high-stake pass/fail decisions by making use of every opportunity for formative feedback to improve performance. Though efforts have been made to introduce programmatic assessment in the competency-based undergraduate curriculum, transitioning to online assessment can be a potential opportunity if the basic tenets of programmatic assessment, choice of online assessment tools, strategies, good practices of online assessments and challenges are understood and explored explicitly for designing and implementing online assessments. This paper explores the possibility of introducing online assessment with face-to-face assessment and structuring a blended programmatic assessment in competency-based medical education.