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                <text>Navigating parental drug addiction and psychopathology: Impact on children's educational success and well-being</text>
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                <text>Addiction Behaviour Studies; Business Law and auditing; Cloud Computing and ML; Cognitive and neuropsychology; Cognitive behaviour therapy (CBT); Compassion; Computational Human Cognition Studies; Computational Modelling; Electroencephalogram (EEG); Experimental Studies; Forensic Psychology; Functional neuroimaging (fMRI); High-Risk Behaviours Studies; Higher Order Thinking Skills Studies; LaTex; Matlab; Mindfulness; Neural Network Modeling; Organizational Planning; Positive Psychology; Python; Qualitative Analysis; Quality Management; Quantitative Analysis; Randomized Control Trial; Sleep and Memory Studies; SPSS; Statistics; Strategic Management</text>
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                <text>This chapter examines the anthologies of children who have demonstrated resilience in the face of adversity linked to their parents' problems, such as substance abuse and psychopathology. In navigating the complexities of the family unit, personal coping mechanisms and community and peer support arise as critical components. These anecdotes emphasize the capacity for favourable consequences resulting from providing individuals with educational and social support networks. This underscores resilience's profound complexity when confronted with difficulties within the family unit.  2024 by IGI Global. All Rights Reserved.</text>
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                <text>Parental Influence on Educational Success and Wellbeing, pp. 282-297.</text>
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                <text>Singha R., Christ University, India</text>
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                <text>Edge intelligence to smart management and control of epidemic</text>
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                <text>The effects of COVID-19 vary from person to person. A pandemic is devastating economically and socially. Thousands of enterprises face the possibility of collapse. More than half of the world's 3.3 billion workers may lose their livelihoods if the current crisis continues. The world's healthcare services are facing an unprecedented situation due to the recent outbreak of a novel coronavirus (COVID-19). Community and government health are adversely affected by the COVID-19 pandemic. COVID-19 has continued to spread, and mortalities have risen steadily. The spread of this disease can therefore be controlled utilizing nonpharmacological methods, such as quarantine, isolation, and public health education. Recent breakthroughs in deep learning (DL) have led to an explosion in applications and services relating to artificial intelligence (AI). The rapid advancements in mobile computing and AI have enabled zillions of Bytes of data to be generated at the network edge from thousands of mobile devices and internet of things (IoT) devices connected to the Internet. As a result of the success of IoT and AI technologies, it is of utmost importance that we expand the AI frontiers to the network edge in order for big data to be fully tapped. Edge computing (EC) can help overcome this trend because it allows computation-intensive AI applications to run on edge hardware. The topic of discussion in this chapter is edge intelligence (EI) technology's application in limiting virus spread during pandemics.  2024 Apple Academic Press, Inc. All rights reserved.</text>
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                <text>Nanjundan P.; George J.P.; Karpagam C.</text>
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                <text>Reconnoitering the Landscape of Edge Intelligence in Healthcare, pp. 175-190.</text>
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                <text>Nanjundan P., Department of Data Science, Christ University, Lavasa, Pune, Maharashtra, India; George J.P., Department of Data Science, Christ University, Lavasa, Pune, Maharashtra, India; Karpagam C., Department of Computer Science with Data Analytics, Dr. N.G.P. Arts and Science College, Tamil Nadu, India</text>
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                <text>Artificial intelligence-internet of things integration for smart marketing: Challenges and opportunities</text>
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                <text>The convergence of AI and the internet of things (IoT) has revolutionized various industries, including marketing. This integration offers immense potential for enhancing marketing strategies through real-time data analysis, personalized customer experiences, and predictive analytics. However, it also presents several challenges that need to be addressed for successful implementation. This abstract explores the challenges and opportunities associated with integrating AI and IoT in smart marketing initiatives. It discusses the potential benefits such as improved targeting, increased efficiency, and enhanced customer engagement. Additionally, it examines the challenges such as data privacy concerns, interoperability issues, and the need for skilled personnel. Furthermore, the abstract delves into case studies and examples illustrating successful AI-IoT integration in marketing campaigns. It also highlights emerging trends and future directions in this domain, emphasizing the importance of addressing challenges to unlock the full potential of smart marketing.  2024, IGI Global. All rights reserved.</text>
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                <text>Vittala K.R.P.; Kiran K.M.; Seranmadevi R.; Tyagi A.K.</text>
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                <text>Advancing Software Engineering Through AI, Federated Learning, and Large Language Models, pp. 295-307.</text>
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                <text>Vittala K.R.P., Faculty of Management, Jain University, Bengaluru, India; Kiran K.M., CMS Business School, Jain University, Bengaluru, India; Seranmadevi R., School of Commerce, Christ University, Bangalore, India; Tyagi A.K., National Institute of Fashion Technology, New Delhi, India</text>
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                <text>Copper-based nanomaterials offer a fascinating array of properties that make them pivotal in various technological applications. These materials, when scaled down to the nanoscale, exhibit enhanced electrical conductivity, surpassing their bulk counterparts. This book chapter primarily focuses on the properties, synthesis, and characterization of copper nanoparticles while also discussing metal and metal oxide nanoparticles. Their large surface-to-volume ratios enable efficient electron transport, making them valuable components in electronics and conductive inks for flexible devices. Furthermore, copper nanomaterials possess exceptional thermal conductivity, making them crucial for efficient heat management in electronics and advanced thermal interface materials. Copper and copper oxide have positive economic and environmental effects. Their catalytic properties render them important in diverse chemical reactions and as components in energy storage systems like batteries and supercapacitors. Additionally, the tunability of their optical properties makes them suitable for various photonic and optoelectronic applications, ranging from sensors to light-emitting devices. The multifaceted properties of copper-based nanomaterials continue to drive innovation across a broad spectrum of industries.  2024 American Chemical Society.</text>
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                <text>Molahalli V., Department of Chemistry, CHRIST (Deemed to be University), Bangalore, 560029, India, Department of Physics, Faculty of Science, Kasetsart University, Bangkok, 10900, Thailand; Mondal S., Department of Chemistry, CHRIST (Deemed to be University), Bangalore, 560029, India; Sri N.G., Department of Chemistry, CHRIST (Deemed to be University), Bangalore, 560029, India; Sebastina R., Department of Chemistry, CHRIST (Deemed to be University), Bangalore, 560029, India; Chattham N., Department of Physics, Faculty of Science, Kasetsart University, Bangkok, 10900, Thailand; Hegde G., Department of Chemistry, CHRIST (Deemed to be University), Bangalore, 560029, India, Centre for Advanced Research and Development (CARD), CHRIST (Deemed to be University), Bangalore, 560029, India</text>
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                <text>Technology based scalable businesses (TSB) have made a significant impact on our lives. The landscape change driven by TSBs has forced many well-established brick-and-mortar businesses to relook at their business models. Despite the influential strides made by TSBs in altering the business landscape the business literature on them is scant. This chapter is a modest attempt to examine TSBs. Scalable businesses could be broadly described as those that can achieve a disproportionate increase in sales/revenue/profits compared to the costs incurred, primarily aided by technology. Google and Uber are examples of how new industries get created and how existing industry landscapes get changed because of technology. Interlinking of technology has offered hitherto unexperienced growth opportunities to such companies. However, the uniqueness of these businesses leaves much to be desired from conventional metrics in adequately explaining the performance of technology-based scalable businesses.  2024, IGI Global. All rights reserved.</text>
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                <text>Advancing Software Engineering Through AI, Federated Learning, and Large Language Models, pp. 238-248.</text>
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                <text>Soumya V., Christ University, Bengaluru, India; Arumugam S.K., Department of Professional Studies, Christ University, Bengaluru, India</text>
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                <text>Workplace stress is a common issue that can significantly impact both employees and employers. This study explores the dynamic intersection of workplace stress and the emerging field of neuroleadership, offering insights into fostering resilient work environments. Drawing on the principles of neuroleadership, the chapter highlights how an understanding of neuroscience can inform leadership practices and contribute to creating resilient workplaces. This chapter discusses the neurological basis of stress and the role of leaders in mitigating its effects. It explores emotional intelligence in leadership and the impact of organisational culture on stress resilience. The chapter suggests practical interventions like mindfulness practices and supportive work environment initiatives grounded in neuroscience to cultivate a culture of wellbeing. By adopting resilient leadership strategies and understanding the neuroscience of stress, organisations can create environments that promote employee wellbeing and navigate the challenges of the modern workplace.  2024, IGI Global. All rights reserved.</text>
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                <text>Joy S., Christ University, India; Kumar A.A., Christ University, India; Nair S., Christ University, India; Chandar K.S., Christ University, India</text>
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                <text>Effect of digital financial literacy on digital consumer protection: Mediating role of financial self-efficacy and financial confidence</text>
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                <text>The digital consumer is gaining importance in the current digital age and there is a need to adapt to the changing context. When discussing digital consumer protection, it's critical to gauge the degree of digital financial literacy. This study explores the mediating role of financial self-efficacy and financial confidence between digital financial literacy and digital consumer protection. The study was conducted in the Indian context, and the target population was users of digital platforms for financial activities in the age group of 20 to above 60. It was found that digital financial literacy significantly impacts digital consumer protection, financial self-efficacy, and financial confidence. However, only Financial self-efficacy and digital financial literacy impact digital consumer protection. It shows that financial self-efficacy mediates the relationship between digital financial literacy and digital consumer protection. This study will benefit the users of digital platforms and assist government/ non-government agencies in designing digital consumer protection programs.  2024, IGI Global. All rights reserved.</text>
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                <text>Jose J.; Ghosh N.</text>
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                <text>Enhancing and Predicting Digital Consumer Behavior with AI, pp. 157-172.</text>
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                <text>IGI Global</text>
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                <text>&lt;a href="https://doi.org/10.4018/979-8-3693-4453-8.ch009" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.4018/979-8-3693-4453-8.ch009&lt;/a&gt;
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                <text>ISBN: 979-836934454-5; 979-836934453-8</text>
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              <elementText elementTextId="144387">
                <text>Jose J., CHRIST University, India; Ghosh N., CHRIST University, India</text>
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                <text>Artificial intelligence: Blockchain integration for modern business</text>
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                <text>In the rapidly evolving landscape of modern business, the integration of artificial intelligence (AI) and blockchain technologies has emerged as a potent strategy to address various challenges and unlock new opportunities. This chapter presents a comprehensive overview of the integration of AI and blockchain, highlighting its significance and potential implications for businesses across diverse sectors. The synergy between AI and blockchain offers novel solutions for enhancing transparency, security, and efficiency in business operations. AI algorithms enable the automation of complex tasks, data analysis, and decisionmaking processes, while blockchain provides a decentralized, immutable ledger for secure and transparent data management. By combining these technologies, businesses can streamline processes, reduce costs, mitigate risks, and create new business models. Few key applications of AI-Blockchain integration in modern business include supply chain management, financial services, healthcare, identity verification, and intellectual property protection.  2024, IGI Global. All rights reserved.</text>
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              <elementText elementTextId="144390">
                <text>Vittala K.R.P.; Arumugam S.K.; Kumar N.S.; Tyagi A.K.</text>
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                <text>Advancing Software Engineering Through AI, Federated Learning, and Large Language Models, pp. 87-104.</text>
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                <text>&lt;a href="https://doi.org/10.4018/979-8-3693-3502-4.ch006" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.4018/979-8-3693-3502-4.ch006&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85194995697&amp;amp;doi=10.4018%2F979-8-3693-3502-4.ch006&amp;amp;partnerID=40&amp;amp;md5=00c90291631851c83226d1e11ed099ab" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85194995697&amp;amp;doi=10.4018%2f979-8-3693-3502-4.ch006&amp;amp;partnerID=40&amp;amp;md5=00c90291631851c83226d1e11ed099ab&lt;/a&gt;</text>
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                <text>ISBN: 979-836933503-1; 979-836933502-4</text>
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                <text>English</text>
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                <text>Vittala K.R.P., Faculty of Management, Jain University, Bengaluru, India; Arumugam S.K., Department of Professional Studies, Christ University, Bengaluru, India; Kumar N.S., Malla Reddy Engineering College, Hyderabad, India; Tyagi A.K., National Institute of Fashion Technology, New Delhi, India</text>
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          <element elementId="50">
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            <description>A name given to the resource</description>
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              <elementText elementTextId="144401">
                <text>Topological insights into weather dynamics in the Indian context: An application of clustering and Mapper algorithm</text>
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                <text>Analysis of day-to-day weather patterns is critical and essential in daily life. Although traditional methods exist, in modern times, we have developed realistic and reliable methods to provide better insights and understanding of complex weather patterns for various surges, especially in these times of global warming. Implementing clustering and topological data analysis in this analysis has looked into a vast understanding of how regions with similar characteristics behave when weather changes occur due to heat, pressure, or wind-related phenomena. The classification model developed using Mapper analysis has produced 95.8% accuracy, concluding that weather follows a transient weather pattern due to various resources and how stagnant conditions affect transient weather patterns, causing rise in sub-clusters. Thus, fitting and interpreting newer models helps us understand weather analysis and classification.  2024, IGI Global. All rights reserved.</text>
              </elementText>
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          <element elementId="39">
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              <elementText elementTextId="144403">
                <text>Azarudheen S.; Menezes D.J.; Clements V.</text>
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              <elementText elementTextId="144404">
                <text>Ethics, Machine Learning, and Python in Geospatial Analysis, pp. 279-303.</text>
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              <elementText elementTextId="144405">
                <text>IGI Global</text>
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                <text>2024-01-01</text>
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              <elementText elementTextId="144408">
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                <text>ISBN: 979-836936383-6; 979-836936381-2</text>
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                <text>Azarudheen S., Christ University, India; Menezes D.J., Christ University, India; Clements V., Northeastern University, Canada</text>
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          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
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                <text>Emerging technology adoption and applications for modern society towards providing smart banking solutions</text>
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            <description>An account of the resource</description>
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              <elementText elementTextId="144415">
                <text>The rapid advancement of emerging technologies has brought significant transformations to various sectors, including banking and finance. This chapter explores the adoption and application of emerging technologies in modern society, particularly focusing on their role in providing smart banking solutions. Technologies such as artificial intelligence (AI), blockchain, internet of things (IoT), and biometrics are revolutionizing traditional banking practices, enabling enhanced security, efficiency, and personalized services for customers. Through a comprehensive analysis of current trends and case studies, this chapter highlights the impact of these technologies on improving customer experiences, streamlining operations, mitigating fraud risks, and fostering financial inclusion. Additionally, it discusses the challenges and opportunities associated with the integration of these technologies into banking systems, including regulatory concerns, data privacy issues, and the need for skill development among banking professionals.  2024, IGI Global. All rights reserved.</text>
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          <element elementId="39">
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              <elementText elementTextId="144416">
                <text>Vittala K.R.P.; Ahmad S.S.; Seranmadevi R.; Tyagi A.K.</text>
              </elementText>
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          <element elementId="48">
            <name>Source</name>
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              <elementText elementTextId="144417">
                <text>Enhancing Medical Imaging with Emerging Technologies, pp. 315-329.</text>
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            <name>Publisher</name>
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              <elementText elementTextId="144418">
                <text>IGI Global</text>
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                <text>2024-01-01</text>
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                <text>Using the approach of autoethnographic narrative, three teacher educators from a cosmopolitan city in South India discuss how they use critical approaches in preparing preservice teachers and educational psychologists in the courses that they teach at a private university. The students are sensitized about the marginalized and the privileged sections in a multicultural and multilingual nation as India and to become culturally responsive in their classrooms or with their clientele in terms of their dispositions, knowledge, and skills. The chapter also describes the integration of critical approaches in the doctoral program aimed at addressing educational disparities and promoting social justice in education.  2024, IGI Global. All rights reserved.</text>
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                <text>Challenging Bias and Promoting Transformative Education in Public Schooling Through Critical Literacy, pp. 76-95.</text>
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                <text>This study creates a framework by looking into various research on customer acceptance of new selfservice technologies and internet purchasing behaviour systems. According to this research, customers' attitudes towards online purchasing are initially influenced by the direct impacts of relevant characteristics of online shopping. These characteristics include functional, utilitarian characteristics and usefulness, emotional and hedonic characteristics. It looks at the technology acceptance theory (TAM) established by David in 1989 and the theory of reasoned action (TRA) to understand factors determining the attitudes of users towards online shopping for users using technology. It also provides conceptual models by using the brand image of the online platform, past experiences of buyers, information related to the product, convenience of the shoppers and trust of the customers towards online shopping.  2024, IGI Global. All rights reserved.</text>
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                <text>Khanna S., Christ University, India; Ghosh F.C.M.A.N., Christ University, India; Kumar S., Christ University, India; William R.M., Christ University, India</text>
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                <text>Revolutionizing the financial landscape: A review on human-centric AI thinking in emerging markets</text>
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                <text>The emergence of Industry 4.0 has transformed the financial landscape by integrating unconventional technologies and artificial intelligence (AI) into consumer interactions. This chapter explores the evolving paradigm of human-centric AI-thinking in the context of emerging customer interactions in making financial decisions. The review analyses the opportunities and the challenges that arise from the integration of AI tools and human-centric approaches in addressing the diverse needs and behaviours of consumers within emerging financial markets. More specifically, the review critically examines the utilization of AI-driven technologies, such as predictive analytics, natural language processing (NLP), and machine learning algorithms, in customising the financial services to cater the emerging-market consumers. Moreover, the current study explicates how AI enables personalized customer interactions, risk assessments, and ethical decision making and financial inclusion strategies while considering the socioeconomic and cultural landscapes. The study has focussed on addressing the concerns related to data privacy, risk assessment, and transparency towards AI-powered financial solutions with ethical standards. Through an exhaustive analysis of current trends, and empirical evidence from the existing literature, this review highlights the inevitability of human-centric AI-thinking approach towards financial services decision making. It emphasizes the importance of congruent AIdriven financial solutions in the context of banking where the determinants such as empathy, financial literacy, ethical considerations, and human values plays a significant role in finding the financial services in emerging markets. This research explores the challenges and prospects and has made commendations to all the major stakeholders such as industry stakeholders, policymakers, practitioners, customers, and service providers to create a dynamic financial landscape of Industry 4.0 in AI technologies that embrace a human-centric ethos to meet the evolving needs of consumers within emerging financial ecosystems.  2024, IGI Global. All rights reserved.</text>
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                <text>Amarnath D.D.; Thimothy S.J.</text>
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                <text>Transforming the Financial Landscape With ICTs, pp. 55-75.</text>
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                <text>Amarnath D.D., Christ University, India; Thimothy S.J., Dhofar University, Oman</text>
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                <text>Graphene quantum dots: Promising catalysts for electrocatalytic water splitting</text>
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                <text>Graphene quantum dots; Hydrogen evolution reaction; Oxygen evolution reaction; Oxygen reduction reaction; Water splitting</text>
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                <text>In recent times, graphene quantum dots have attracted attention from both academia and industry due to their low cost, non-toxicity, abundance, inertness, stability, photoluminescence, and ease of functionalization. Graphene quantum dots are doped with heteroatoms and modified structurally with metals/metal oxides to form composites that find immense application in catalysis. Electrocatalytic water splitting is an energy efficient route for oxygen evolution, hydrogen evolution, and oxygen reduction reactions. Graphene quantum dots based composites have been extensively employed for electrocatalytic water splitting applications, with remarkable results. This chapter focuses on electrocatalytic applications of modified graphene quantum dots in water splitting.  2024 Nova Science Publishers, Inc. All rights reserved.</text>
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