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Imagining the sustainable future with Industry 6.0: A smarter pathway for modern society and manufacturing industries
Industry is defined as the production of goods and services through the transformation of raw materials and resources into valuable products. It involves the creation of finished products or services through various stages of production that may include manufacturing, processing, assembly, packaging, and distribution. Industries have played a significant role in the economic growth and development of nations throughout history. They have contributed to the creation of employment opportunities, the development of new technologies, and the improvement of living standards. Over the years, the industrial sector has gone through numerous changes, and each of these changes has been termed as an "Industry Revolution." 2024, IGI Global. All rights reserved. -
Student engagement in community development: A strategy for whole-person development
Student engagement in community development has been closely linked to enhanced learning outcomes and whole-person development. The Centre for Social Action (CSA) at Christ University emerged as a student-led student-driven initiative to promote volunteerism and engagement in community development that enabled the student community to identify and work on development initiatives. The objective of the chapter is to examine the factors that influence student engagement in community development initiatives and explore the factors that motivate them to volunteer. It also looks at their perception of the benefits for the two main stakeholders in the process, namely the students themselves and the community that they work with. This chapter uses a qualitative framework, and the data is collected through in-depth interviews and focus group discussions with current and past volunteers with CSA. The participants in the study have been selected using purposive sampling techniques and represent students who have worked on the major initiatives undertaken by CSA, namely the activity centre and the various social awareness and sensitization initiatives. The interviews and the focus group discussions have been conducted on virtual meeting platforms, and the data has been analyses thematically. The research design lends itself to a rich exploration of student perception of their engagement in community development, their motivation, the benefits that they perceive of their engagement with the activities for both themselves and other stakeholders, and how it ties into the construct of whole-person development at the individual level and whole-person education at a broader level. 2024 Nova Science Publishers, Inc. -
Rendering support for the empowerment of rural women to overcome life impediments
The socio-cultural and economic landscape of rural India is not totally conducive for women. Surveys and reports in this regard would suggest the continuous existence of gender-based discrimination and its negative effects on the status and livelihood of rural women. Recognizing this situation, the Centre for Social Action (CSA) has pioneered its efforts to sensitize and involve youth (especially students) in the mitigation of rural issues and has been supporting women in select villages by promoting Self Help Groups (SHGs). These SHGs, in turn, organize capacitybuilding and empowerment programmes for the women to enhance their livelihood and socio-economic well-being. The present study is designed to understand the impact of CSA's intervention on the status and livelihood of women in the select project sites. Towards this end, we collected data from a sample of 150 women beneficiaries of CSA's initiative using a structured interview schedule. The study used a mixedmethod design. The study's outcome indicates a positive correlation between women's participation in CSA initiatives and their status and livelihood improvements. The results are encouraging that they would help one formulate effective models similar to this one for the empowerment of women. 2024 Nova Science Publishers, Inc. -
The repercussions of teaching in the digital era: A boon or bane?
Recently, the world has experienced a big change due to the pandemic controlling our lives. The change is also experienced by the education sector. The pandemic has forced the whole system to go digital overnight. Although the learning system has been slowly moving towards digitalisation for a considerable period of time now, the social media platform is taking over the traditional method of learning. The study has 61 respondents and the data is collected through a questionnaire. The paper applies regression analysis with the help of SPSS. The development of digital learning platforms provides an alternative to offline learning. This recent spread of the e-learning environment was fast forwarded in the COVID period. The independent variables of the paper are professional skills and ethical proficiency in online learning. These challenges are evaluated, and their impact is assessed on the learning outcome. The chapter limits its approach to professional and ethical scales by ignoring the other important variables that decide the learning outcome of the students. However, the current body of literature has a very narrow approach to the learning system. So, the chapter inspires us to cover the gap through the proposed framework model for teaching practices in the digital era. The chapter intends to develop the teaching skills and moral conscience of the academicians and ease the learners into the new path of education. The future scope makes it definite for the growing learners to understand the advancement in technology and its repercussion on the skill development process. 2024 River Publishers. All rights reserved. -
The role of legal aid clinics in enhancing the employability, entrepreneurship and foundation skills for law students: A qualitative analysis
Access to justice is the basic postulate of a legal system. In this endeavour, universities have a unique institutional advantage to make a potential contribution to 100% access to justice by fostering a strong culture of social responsibility through innovative pro bono legal service initiatives and inculcating the professional value of legal service in the students and motivating them to develop a critical consciousness for social justice linked to the holistic development of law students. Consequently, the impact analysis of this training on global opportunities, both in terms of employability and higher education, formed the kernel of this chapter. Through in-depth interviews, focus group discussions and perspectives of researchers as participants in statelevel Legal services clinics, data was collected. Several key indicators were identified to analyze the expanded and holistic role of legal aid clinical education to effectively prepare students for their future. The study crystallizes a model for legal aid clinical courses by which Universities can deliver cutting-edge life and employability skills and enhance the professional competence of law students through direct participation in legal aid services. 2024 Nova Science Publishers, Inc. -
Community-based educational intervention on emotion regulation, self-esteem, and behavioural problems among school children
Recently, there has been a trend where higher education institutions are designing and implementing community-based educational interventions for underprivileged children in the community. It is important to understand whether these interventions are useful to the children in improving their psychosocial development. In this chapter, the author discusses the learnings from an explanatory sequential mixed methods study which aimed at assessing the impact of community educational intervention provided by a higher educational institution on self-esteem, emotional regulation and bbehavioralproblems among adolescents in rural Karnataka. The study included 250 adolescents who were beneficiaries of community educational intervention and another 250 who were non-beneficiaries. Besides this, the chapter also highlights the qualitative results grounded in the focus group discussions to understand the stakeholder's perspective on community educational interventions. Finally, the author demonstrates the processes and mechanisms of change and presents a critical discussion from the quantitative and qualitative data analytic lens. The author anticipates that community educational interventions provided by higher educational institutions are extremely impactful. Several critical factors of stakeholders, institutional, and rural communities might bring change and sustainability in benefits among rural adolescents. 2024 Nova Science Publishers, Inc. -
Sensitization of university students in supporting underprivileged children
Education is the fundamental right of every child and an essential element of human growth. Indian education is divided into two parts: private and government education. Underprivileged children, affected by socio-economic factors, predominantly choose government education. Government primary educational institutions have failed to cope with the requirements of the corporate world. On the other hand, the students studying in private higher educational institutions seldom think of the challenges that socio-economically underprivileged children face. Genesys is the forum that unites these socio-economically underprivileged children with students at Christ University. Teaching and training disadvantaged children are the social responsibilities of young people, especially those in higher education. Each student should teach at least one person to make it a win-win situation for both learner and trainer. It helps University students build social skills and provides them with the opportunity to become part of the nation-building process. The chapter employed the quantitative study method to analyze the students' perception of teaching underprivileged children and how demographic variables impact it. It also identified the factors influencing the student's academic performance and psychological well-being. The study found that the students gained different skills like interpersonal skills, adaptability, teaching skills, and happiness, and these skills positively impacted their academic performance and psychological wellbeing. The expected outcome of the program supported by the university is to develop a win-win model for both University students and schoolchildren from low-income groups in society 2024 Nova Science Publishers, Inc. -
Internet of Things and Blockchain in Healthcare: Challenges and Solutions
The Internet of Things (IoT) enables Internet-connected devices to transmit data to private blockchain networks, allowing for the creation of tamper-resistant documents with shareable exchanges. IoT blockchain technology enables you to communicate and connect IoT data with key stakeholders, while avoiding the need for extensive management and control. Each transfer can be checked to ensure there are no disagreements and to build trust in the network. Blockchain technology protects data from being changed, restricts access to Internet-connected devices, and allows vulnerable IoT devices to be shut down. Blockchain encryption eliminates the possibility of someone overwriting existing data records. In addition, storing IoT data on the blockchain adds an extra layer of security, preventing malicious attackers from accessing the system. The many blockchain IoT firms provide significant value in revolutionizing company operations and daily routines. IoT blockchain firms demonstrate the possibility of blockchain and IoT integration. For instance, Helium is a successful blockchain IoT company specializing in securing Internet connections. This chapter presents the vital role of the Internet of Things and blockchain in the healthcare domain. The integration of blockchain technology in the healthcare industry has given us a chance to solve some problems with IoT networks. In recent years, the need for blockchain-enabled IoT transactions has become an essential technology that will change how users share data. A scenario has been developed to enhance this study to analyse the integration, need, and obstacles associated with blockchain-enabled IoT transactions in the healthcare area. As a result, there is also an IoT model designed using devices for hospitals that take into account all of these people and their needs and the office space where they work. The Author(s), under exclusive license to Springer Nature Switzerland AG. 2024. -
An Efficient Security-Enabled Routing Protocol for Data Transmission in VANET Using Blockchain Ripple Protocol Consensus Algorithm
The security quality in Vehicular Ad-hoc NETworks (VANET) has improved as a result of recent developments in Intelligent Transportation Systems (ITS). However, within the current VANET system, providing a cheap computational cost with a high serving capability is a significant necessity. When a vehicle user goes between one Roadside Unit (RSU) to another RSU region in the current scenario, the current RSU periodically needs re-authentication of the vehicle user. This increases the computational complexity of the system. The gathering and broadcast of existing traffic event information by automobiles are critical in Vehicular Ad-hoc Networks (VANET). Traditional VANETs, on the other hand, have several security concerns. This work develops a blockchain-based authentication protocol to address the aforementioned difficulty. To address critical message propagation issues in the VANET, we invent a novel type of blockchain. We develop a local blockchain for exchanging real-world event messages among cars within a countrys borders, which is a novel sort of blockchain ideal for the VANET. We describe a public blockchain RPCA that records the trustworthiness of nodes and messages in such a distributed ledger suitable for secure message distribution. The Author(s), under exclusive license to Springer Nature Switzerland AG. 2024. -
Dynamics of Sustainable Economic Growth in Emerging Middle Power Economies: Does Institutional Quality Matter?
The present study investigates the relevance of Institutional structures quality as a determinant of the GDP of the Emerging Middle Power Economies (MIKTA) which constitute predominantly middle-income countries, namely Mexico, South Korea, Indonesia, Turkey, and Australia over the timeframe of 19852016. In addition to institutional variables such as Government Stability, Bureaucratic Quality and Socioeconomic Conditions, the study uses productive factors (per worker capital, human capital) and a macroeconomic indicator (inflation) to show the GDP of the above-mentioned countries. The impact that institutional variables taken have on Efficient Environmental resources, Sustainability and their management has shown to have an impact on the rate of growth of the middle-income economies. To estimate a long-run relation, the study employs the Autoregressive Distributed Lag model, also known as the ARDL model, bringing in controls for cointegration, nonstationary, heterogeneity and cross-sectional dependency and accounts for a mixed order of integration of variables. The model indicates that capital per worker, socio-economic conditions, bureaucratic quality, human capital and inflation have a long-run effect on the GDP of a country. The paper concludes with a positive impact of institutional variables during both, the short-run and the long-run, for the de-pendent variable. The Author(s), under exclusive license to Springer Nature Switzerland AG. 2024. -
Quality Efficacy Issues in Mangoes: Decoding Retailers Supply Chain
This research article tries to uncover the elements and compelling reasons causing supply chain inefficacy concerning low quality at the retailer level of the mangoes supply chain in Karnataka. The descriptive research approach was used in work. The research was conducted in the biggest mango-producing areas of Karnataka. Factors were discovered by factor analysis. A systematic questionnaire was used to determine how much the mango sector may improve supply chain efficacy. Contingent on the factor analysis, four variables for low quality were identified: functional difficulties, knowledge, Manpower, and resources. It was also discovered that the functional component is the compelling factor causing supply chain inefficacy. The study is confined to the retailer level of the Mango supply chain, focusing on four Mango-producing districts in Karnataka. Furthermore, the measures for the key causes under each aspect causing hindrances in supply chain efficiency in terms of quality have been discovered. There is a scarcity of materials to enhance the supply chain efficiency of merchants in Indias mango business. This research attempted to address a literature gap and help practitioners improve the mango supply chain in underdeveloped nations. This paper also serves the 2nd goal, Zero Hunger, End starvation, improve food security and nutrition, and promote sustainable agriculture of sustainable development. The Author(s), under exclusive license to Springer Nature Switzerland AG. 2024. -
Revisiting the Nexus Between Suicides and Economic Indicators: An Empirical Investigation
In India, as of 2021, there was a 7.2% increase in suicides. With the economic burden inflicted by the pandemic and increasing suicides, a systematic investigation needs to be done. This empirical investigation uses the Autoregressive Distributed Lag (ARDL) model to obtain long and short-term estimates for the relationship between suicides and prominent economic indicators. The findings suggest that economic indicators like GDP per capita growth, age dependency ratio, and unemployment rate have a significant dynamic relationship with suicides. In this regard, preventive measures can be formulated and implemented in such a way that focuses on improving the countrys economic scenario which will in turn reduce suicides. Organizations and governments can plan training and mental health care programs for farmers, workers, and students. Mental health care services require attention from the government so that at a macro level the problem of increasing suicides can be handled. The Author(s), under exclusive license to Springer Nature Switzerland AG. 2024. -
Individuals Attitude Concerning Memes: A Study Reference to Active Social Media Users
Todays digital world, memes are more popular among the youngsters to express ones emotion. Nowadays, almost everyone is largely relying on social media to send memes and emojis in order to share the information in a humorous way. Lots of research article are reviewed about the social media memes, internet memes and this paper summarizes the usage of social media and following the trending pattern in communicating or sharing information through the social media platform. This study is aimed to study about the individuals attitude towards memes and its effect among the social media users. Through survey, total of 193 samples were collected by using questionnaire and statistical tools like Reliability test, Chi square and Correlation analysis have been used to interpret the collected data. The Author(s), under exclusive license to Springer Nature Switzerland AG 2024. -
Secure and Private Federated Learning through Encrypted Parameter Aggregation
This chapter is dedicated to cross-silo private parameter aggregation. ML/DL has demonstrated promising results in a variety of application domains, especially when vast volumes of data are collected in one location, such as a data center or a cloud service. The goal of FL is to improve the quality of ML/DL models while minimizing their drawbacks. Participating devices in an FL task could range in size from a single smartphone or watch to a global corporation housing multiple data centers. It was originally believed that just a little amount of information about the original training data would be carried over into subsequent model updates as FL interactions occurred. The differential privacy framework is concerned with restricting the release of private information while sharing the outcomes of computations or queries performed on a dataset. Recently, many researchers have begun to employ differential privacy while training models in a federated setting. 2024 Saravanan Krishnan, A. Jose Anand, R. Srinivasan, R. Kavitha and S. Suresh. -
Attention to Economic Factors and Its Response to Foreign Portfolio Investment: An Evidence from Indian Capital Market
Stock market consists of a variety of investors. Among these, Foreign Portfolio Investors (FPIs) is a key investment influx. These investments can change or fluctuate due to several macroeconomic factors which can cause a shift in the dynamics of the markets in India. This paper examines the factors influencing for foreign portfolio investment in long run as well as short run. The sample comprises of 120 monthly observations on Foreign Portfolio Investment (FPIs) and Macro economic variables such as Oil prices (OP), Gross Domestic Product (GDP), Interest Rate (IR), Exchange rate of Indian Rupee with USD (ER), Inflation (CPI), Nifty Index (NSEI), 10year Bond Prices (BP) and Index of Industrial production (IIP) over a period of 10years, spanning from January 2013 to November 2022. The study employed Autoregressive Distributed Lag model (ARDL) to establish the long run association with error correction models. The result indicates that there is long run association between the Foreign Portfolio Investment and macro-economic variables. Among this, NSEI, IIP and ER played a significant role to determine FPI investments in the long run, whereas in the short run, FPI was impacted by ER and NSEI significantly. The Author(s), under exclusive license to Springer Nature Switzerland AG 2024. -
Behavioral Bias as an Instrumental Factor in Investment Decision-An Empirical Analysis
Investment decisions are always complex in nature. Investment assets are volatile in nature there are less volatile, medium volatile and high volatile investment assets in the financial market. In the current study how, the behavioral biases of the investors affecting their investment decisions in the less volatile asset classes is examined using an extensive survey method among the IT professionals in the Bangalore city. The relationship between the demographic variables and behavioral biases is tested. Also, a detailed study is conducted to examine the risk-taking behavior of the investors in the less volatile assets. There are basically three type of investors on the basis of their risk-taking behavior i.e. Risk seeking, Risk Neutral and Risk averse investors. Current study reveals that investors in the less volatile asset classes are very much cautious about the risk factor and therefore they are risk averse in nature. The Author(s), under exclusive license to Springer Nature Switzerland AG. 2024. -
Facile Synthesis of Polymer Dot and Its Antibacterial Action Against Staphylococcus aureus
Antimicrobial resistance (AMR) rising from nosocomial infections is an escalating threat to human life nowadays due to the overuse of drugs. The multidrug-resistant pathogenic bacteria have increased morbidity and mortality rates, becoming a crucial global clinical challenge. Gram-positive Staphylococcus aureus bacteria is one of the nosocomial pathogens that cause severe invasive diseases and skin infections to human health worldwide. Herein, a non-conjugated polymer dot (NCPD) was synthesized from less toxic and biocompatible polyvinyl alcohol (PVA) via hydrothermal treatment. The fluorescence of the polymer dots was enhanced by nitrogen doping. The as-synthesized nitrogen-doped polymer dots (PDs) exhibit excitation-dependent luminescence emission and show green color fluorescence under UV light. The average size of the synthesized functionalized non-conjugated polymer dot is obtained as 4.08nm, and they exhibit an amorphous structure. No antibacterial property was observed for bulk polymer, but the doped polymer dots showed antibacterial activity against Gram-positive Staphylococcus aureus bacteria. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd 2024. -
Dandelion Algorithm for Optimal Location and Sizing of Battery Energy Storage Systemsin Electrical Distribution Networks
This paper describes a new way to improve the performance of an EDN by integrating distributed battery energy storage systems (BESs) in the best way possible. This method is based on the Dandelion Algorithm (DA). The search space for BES locations is first predetermined using loss sensitivity factors (LSFs), and then DA is used to determine the optimal locations and sizes. The reduction of real power distribution loss is regarded as the primary objective function, and the impact of BESs is extended to examine the network voltage profile, voltage stability, and GHG emissions. IEEE 33-busEDN is used to calculate the computational efficiency of LSF-DA. Results show that DA is more efficient than Archimedes optimization (AOA), future search algorithm(FSA), pathfinder algorithm(PFA), and butterfly optimization algorithm(BOA) algorithms. Furthermore, the results show that the proposed DA enhances all technological and environmental factors and RDN performance. The Author(s), under exclusive license to Springer Nature Switzerland AG 2024. -
Application Areas, Benefits, and Research Challenges of Converging Blockchain and Machine Learning Techniques
In recent years, machine learning (ML) has become a hot topic of research and application. ML model and huge amount of data growth difficulties still follow ML development. With the lack of new data and constant training, published ML models may soon become obsolete; unscrupulous data contributors may upload incorrectly labelled data, leading to poor training results; and data leakage and abuse are all possible outcomes. These issues can be effectively addressed by using blockchain, a new and rapidly evolving technology. With the advancement of various smart devices and the field of artificial intelligence and machine learning, interdisciplinary collaboration with blockchain technology may be incredibly valuable for future investigations. Collaborative ML and blockchain convergence can be studied here, with emphasis on how these two technologies can be combined and their application areas. On the other hand, look at the existing researchs shortcomings and future enhancements. The Author(s), under exclusive license to Springer Nature Switzerland AG. 2024. -
Wearable Smart Technologies: Changing the Future of Healthcare
Wearable smart technologies are the innovative solutions for the issues of healthcare services. In this chapter, a review of the innovative wearable healthcare devices and applications has been done. Wearable devices are used for supervision and illness control. These innovative wearable technologies can straightforwardly affect the medical dynamic, can upgrade the quality of treatment for patients, and can reduce the expenses incurred in it. The large health record generated by the wearable devices provides an opportunity for data analysts to apply machine learning techniques for prediction on the data generated by sensors. Today's wearable smart technologies are capable of being integrated into eyeglasses, cloths, shoes, belts, watches, etc. Sensors can be inserted in these objects to be worn. The advanced forms of wearable technologies can be attached to the skin of the wearer. A smartphone is mainly utilized to collect data and communicate it to a server situated at a remote area for greater capacity and investigation. Maximum innovations related to wearable technologies are still in the prototyping phase. The study covers almost every aspect of wearable technologies, which could be helpful in the future for innovation and research in this area. 2024 selection and editorial matter, Ankur Beohar, Ribu Mathew, Abhishek Kumar Upadhyay, and Santosh Kumar Vishvakarma -individual chapters, the contributors. All rights reserved.