Bingi Manorama Devi, Sandeep Vemuri, A. Chandrashekhar, Sushama C., Praful Vijay Nandankar and Pankaj Kundu
The COVID-19 pandemic has led to a huge loss of human life worldwide and presents an unprecedented challenge to public health, food systems and the world of work. Tens of millions…
Abstract
Purpose
The COVID-19 pandemic has led to a huge loss of human life worldwide and presents an unprecedented challenge to public health, food systems and the world of work. Tens of millions of people are at risk of falling into extreme poverty due to loss of their carriers. Mainly, the people who work in public places are impacted due to this decease. The frontline warriors such as doctors, health workers, sweepers and policemen showed their effort to reduce the spreading of the virus. In this paper gives the detailed view of how the corona virus evaluated and how it spread from one person to another person and how we prevent this virus. The purpose of the paper, detailed about the diagnosis of the virus in the human body. There are some tests associated to know the presence of virus in our body; these are nose test, chest scan and CT scan of lungs.
Design/methodology/approach
Molecular analysis methods such as antibody or enzyme tests are used to assess whether the infection is present. The most common lancing techniques include using a cotton swab is in the back of the neck. Then hands over the sample to the doctor for examination. Polymerase chain reaction (PCR) is performed on the sample. This test screens for viral DNA. A CO19 PCR test can detect unique SARS-2 gene products. If one of these genes is ignored, it will return as an invalid result This test is useful only for patients who are already suffering from COVID-19. You cannot know if anyone has the infection, and they cannot say for sure whether they ever did. Serological tests are particularly useful for detecting cases of infection with mild or no symptom.
Findings
In this paper, the different tests provided to diagnosis the virus and the prevention measures to be taken to prevent the virus from spreading from one person to another are explained.
Originality/value
This work presents the original contribution and information of the COVID-19 pandemic.
Hongfei Liu, Yue Meng-Lewis and Wentong Liu
Social media played an irreplaceable role in young people’s online social life and information consumption during the COVID-19 pandemic. This research focuses on the impact of…
Abstract
Purpose
Social media played an irreplaceable role in young people’s online social life and information consumption during the COVID-19 pandemic. This research focuses on the impact of excessive information on social media about COVID-19 vaccines on Generation Z's (Gen Z) associated psychological states and long-term vaccine advocacy.
Design/methodology/approach
The research conducted structural equation modeling analysis with online survey data from 409 Gen Z citizens in the UK.
Findings
The findings suggest that excessive information increased Gen Z social media users' ambivalence and conspiracy beliefs around COVID-19 vaccines, which, in turn, reduced their long-term vaccine advocacy in terms of vaccine acceptance, vaccination intention and vaccine promotion. Importantly, Gen Z’s confidence in government and in the healthcare systems during COVID-19 was effective in helping them overcome the detrimental effects of conspiracy beliefs and ambivalence about long-term vaccine advocacy, respectively.
Originality/value
This research reveals the “dark side” of social media use in the post-pandemic period and highlights the significant roles played by social institutions in mitigating the detrimental effects of Gen Z’s support in social decisions. Beyond the context of COVID-19, this research has important implications for facilitating the civic engagement of Gen Z and boosting their confidence in social institutions in terms of social cohesion.
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Mudit Kumar Singh and Jaemin Lee
The purpose of this paper is to empirically examine the inequality perpetuated through social categories in accessing the social capital generated through the microfinance…
Abstract
Purpose
The purpose of this paper is to empirically examine the inequality perpetuated through social categories in accessing the social capital generated through the microfinance interventions in India as the country has pronounced economic inequality by social categories like many developing stratified societies.
Design/methodology/approach
The study uses survey data collected from 75 villages in rural India and tests whether the formation and maximization of social capital through self-help groups (SHGs) is dominated by social categories, e.g. high-caste groups, males and superior occupation classes. Using logistic regression framework, the study assesses the formation and maximization of social capital through multiple SHG membership.
Findings
The paper finds that the microfinance approach of empowering weaker sections is considerably limited in its success, in the sense that it provides them with the opportunity to the credit access and support through SHGs. But, the empirical model further indicates that social capital in form of these SHGs may fall prey to the dominant social categories, and thus, these institutions may potentially enhance inequality.
Research limitations/implications
The paper is derived from the secondary data set, so it is unable to comment field reality qualitatively.
Practical implications
Microfinance policy makers will have an improved understanding of inherent social inequalities while implementing group-based programs in socially stratified societies.
Originality/value
Social capital, if treated as an outcome accumulated in form of groups, provides with an important framework to assess the unequal access through the microfinance interventions. Overlooking the inherent unequal access will deceive the purpose of social justice in the group-based interventions. The microfinance and other welfare policies engaged in group formation and generating the social capital need to be more sensitive to the disadvantageous sections while focusing on multiple group access by disadvantaged social groups.
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Sujayita Bhattacharjee and Sanjukta Sattar
The lives of the poor in the urban spaces of India are filled with hardships. They live amidst poverty and struggle to survive within other problems such as insecure jobs, lack of…
Abstract
Purpose
The lives of the poor in the urban spaces of India are filled with hardships. They live amidst poverty and struggle to survive within other problems such as insecure jobs, lack of proper housing, unsanitary conditions and low levels of health immunity. This vulnerable section of the population has been rendered furthermore vulnerable by the outbreak of the COVID-19 pandemic in ways that were never imagined before. Taking this into consideration, the purpose of this article is to examine the vulnerability of the poor in the urban settings of India with special reference to Mumbai in the context of the COVID-19 pandemic.
Design/methodology/approach
The methodology adopted in the study is based on the analysis of secondary data and content analysis of the existing literature. In addition to this, the study also makes use of certain narratives of the urban poor in Mumbai that have been captured by various articles, reports and blogs.
Findings
The findings of the study reveal how the urban poor of India, with special reference to Mumbai, the financial capital of India, has emerged as the worst sufferers of the socioeconomic crisis caused by the social distancing and lockdown measures imposed for combating the pandemic.
Originality/value
The study tries to explore the reality of the urban poor's right to the city in the wake of the pandemic.
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Amit K. Verma, Narendra Kumar, Mandeep Singh and Ravi P. Agarwal
In this article, the authors consider the following nonlinear singular boundary value problem (SBVP) known as Lane–Emden equations, −u″(t)-(α/t) u′(t) = g(t, u), 0 < t < 1 where α…
Abstract
Purpose
In this article, the authors consider the following nonlinear singular boundary value problem (SBVP) known as Lane–Emden equations, −u″(t)-(α/t) u′(t) = g(t, u), 0 < t < 1 where α ≥ 1 subject to two-point and three-point boundary conditions. The authors propose to develop a novel method to solve the class of Lane–Emden equations.
Design/methodology/approach
The authors improve the modified variation iteration method (VIM) proposed in [JAAC, 9(4) 1242–1260 (2019)], which greatly accelerates the convergence and reduces the computational task.
Findings
The findings revealed that either exact or highly accurate approximate solutions of Lane–Emden equations can be computed with the proposed method.
Originality/value
Novel modification is made in the VIM that provides either exact or highly accurate approximate solutions of Lane-Emden equations, which does not exist in the literature.
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Abstract
Details
Keywords
This qualitative study explores how technologically challenged Indian rural communities adjusted to the tech-driven work system successfully in the post-pandemic era.
Abstract
Purpose
This qualitative study explores how technologically challenged Indian rural communities adjusted to the tech-driven work system successfully in the post-pandemic era.
Design/methodology/approach
Qualitative semi-structured interviews with multiple Indian rural households conducted in the years 2021 and 2022 were employed.
Findings
The findings highlight the critical role played by the social capital in addressing the issues that Indian rural communities were facing in their work setting as a direct result of the COVID-19 outbreak. The embedded social network and social values in rural society came to the rescue when other tangible resources were not available for everyone.
Research limitations/implications
This study contributes to Bourdieu's theory of Social Capital by discovering that social capital can be utilized to gain existential advantages in extraordinary circumstances of (work) life.
Practical implications
Policymakers should acknowledge the presence of social capital in societies, especially rural ones. Social capital plays a significant role in the execution of relevant society-level tasks and can further help in dealing with certain materialistic impediments.
Social implications
Investments in community infrastructure, education and communication strategies can enhance social capital's role in crisis response.
Originality/value
This study is original as it is the first one that studies the significance of social capital in a post-pandemic environment, especially when the availability of required technological resources is rare.
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Chien-Wen Shen and Phung Phi Tran
This study aims to provide a more complete picture of blockchain development by combining numerous methodologies with diverse data sources, such as academic papers and news…
Abstract
Purpose
This study aims to provide a more complete picture of blockchain development by combining numerous methodologies with diverse data sources, such as academic papers and news articles. This study displays the developmental status of each subject based on the interrelationships of each topic cluster by analyzing high-frequency keywords extracted from the collected data. Moreover, applying above methodologies will help understanding top research topics, authors, venues, institutes and countries. The differences of blockchain research and new are identified.
Design/methodology/approach
To identify and find blockchain development linkages, researchers have used search terms such as co-occurrence, bibliographic coupling, co-citation and co-authorship to help us understand the top research topics, authors, venues, institutes and countries. This study also used text mining analysis to identify blockchain articles' primary concepts and semantic structures.
Findings
The findings show the fundamental topics based on each topic cluster's links. While “technology”, “transaction”, “privacy and security”, “environment” and “consensus” were most strongly associated with blockchain in research, “platform”, “big data and cloud”, “network”, “healthcare and business” and “authentication” were closely tied to blockchain news. This article classifies blockchain principles into five patterns: hardware and infrastructure, data, networking, applications and consensus. These statistics helped the authors comprehend the top research topics, authors, venues, publication institutes and countries.
Research limitations/implications
Since Web of Science (WoS) and LexisNexis Academic data are used, the study has few sources. Others advise merging foreign datasets. WoS is one of the world's largest and most-used databases for assessing scientific papers.
Originality/value
This study has several uses and benefits. First, key concept discoveries can help academics understand blockchain research trends so they can prioritize research initiatives. Second, bibliographic coupling links academic papers on blockchain. It helps information seekers search and classify the material. Co-citation analysis results can help researchers identify potential partners and leaders in their field. The network's key organizations or countries should be proactive in discovering, proposing and creating new relationships with other organizations or countries, especially those from the journal network's border, to make the overall network more integrated and linked. Prominent members help recruit new authors to organizations or countries and link them to the co-authorship network. This study also used concept-linking analysis to identify blockchain articles' primary concepts and semantic structures. This may lead to new authors developing research ideas or subjects in primary disciplines of inquiry.
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Sanjay Kumar Behera, Dayal R. Parhi and Harish C. Das
With the development of research toward damage detection in structural elements, the use of artificial intelligent methods for crack detection plays a vital role in solving the…
Abstract
Purpose
With the development of research toward damage detection in structural elements, the use of artificial intelligent methods for crack detection plays a vital role in solving the crack-related problems. The purpose of this paper is to establish a methodology that can detect and analyze crack development in a beam structure subjected to transverse free vibration.
Design/methodology/approach
Hybrid intelligent systems have acquired their own distinction as a potential problem-solving methodology adopted by researchers and scientists. It can be applied in many areas like science, technology, business and commerce. There have been the efforts by researchers in the recent past to combine the individual artificial intelligent techniques in parallel to generate optimal solutions for the problems. So it is an innovative effort to develop a strong computationally intelligent hybrid system based on different combinations of available artificial intelligence (AI) techniques.
Findings
In the present research, an integration of different AI techniques has been tested for accuracy. Theoretical, numerical and experimental investigations have been carried out using a fix-hinge aluminum beam of specified dimension in the presence and absence of cracks. The paper also gives an insight into the comparison of relative crack locations and crack depths obtained from numerical and experimental results with that of the results of the hybrid intelligent model and found to be in good agreement.
Originality/value
The paper covers the work to verify the accuracy of hybrid controllers in a fix-hinge beam which is very rare to find in the available literature. To overcome the limitations of standalone AI techniques, a hybrid methodology has been adopted. The output results for crack location and crack depth have been compared with experimental results, and the deviation of results is found to be within the satisfactory limit.
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Paulo Sergio Altman Ferreira and João Pedro Reis
The purpose of this study is to explore how conflicting factors create tensions that hinder the development of effective policies. It specifically focuses on the broken…
Abstract
Purpose
The purpose of this study is to explore how conflicting factors create tensions that hinder the development of effective policies. It specifically focuses on the broken connections between government policies and social-economic sectors. The study intends to explain how differing and often opposing interests in creating government policy influence the learning process.
Design/methodology/approach
This study uses a research methodology that combines developmental work research as a framework with historical case studies for collecting data. The process starts by identifying a problem and challenges related to the Brazilian “Diesel Crisis”. Following this, an analysis of the activity system was undertaken to uncover contradictions and tensions related to policy development.
Findings
The key results of the study focus on the learning process of public policy by (1) spotting gaps between government policies and socio-economic areas, (2) finding potential sources for a learning path and shared growth, (3) identifying various conflicting interests in the development of government policy, (4) creating learning possibilities in a complex and diverse environment and (5) offering solutions for resolving conflicting relationships in government policy development.
Originality/value
This study highlights the importance of recognizing the complicated social setting where public policy learning takes place, emphasizing the duality of collaboration and conflicting interests among different government bodies, policymakers and community members as they use tools and rules to reach their objectives.