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                <text>Ghosh, Oindrilla; Kumar, Binod; Roy, Parimal Kumar</text>
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                <text>Role of AI in revolutionizing clinical care</text>
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                <text>Emerging Multisector Applications of AI and IoT;pp.69-102</text>
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                <text>Ghosh O., Christ University, India; Kumar B., Radha Govind University, India; Roy P.K., Bangladesh Public Administration Training Centre, Bangladesh</text>
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                <text>Artificial Intelligence (AI) is significantly reshaping clinical care, driving advancements in diagnostics, treatment, and patient management. With its ability to analyze vast amounts of data rapidly, AI is transforming how healthcare professionals approach patient care, thereby improving outcomes and operational efficiency. One of the primary roles of AI in clinical care is enhancing diagnostic precision. Furthermore, AI-driven chatbots and virtual health assistants are revolutionizing patient engagement and support. These tools provide instant responses to health inquiries, manage appointment scheduling, and offer reminders for medication, which fosters adherence and ensures that patients remain informed about their health journey. Lastly, AI's role in streamlining administrative processes cannot be overstated. Automating routine tasks such as billing and data entry allows healthcare professionals to focus more on patient care rather than administrative burdens.  2025 by IGI Global Scientific Publishing. All rights reserved.</text>
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                <text>Role of AI in Strengthening ESG Governance: Perspective From Industry Experts</text>
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                <text>Socially conscious investors, especially Gen Z, value ethics over money. ESG reports are as important as financial reports for them. ESG ratings from various sources can puzzle these Gen Z investors, as there is no standardization in ESG data. Firstly, the chapter focuses on the need to integrate AI into ESG reporting by highlighting the limitations of mere frameworks such as GRI, SASB, and ISSB. Secondly, it emphasizes the difference between traditional reporting and AI-integrated ESG reporting. It also points out the challenges of AI integration and ways to overcome these challenges. Lastly, the chapter also proposes the need for a unified framework, making it easier for investors to compare and make decisions.  2024, IGI Global. All rights reserved.</text>
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                <text>Jayalakshmi M.; Sneha A.M.; Girish S.</text>
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                <text>Intersecting Environmental Social Governance and AI for Business Sustainability, pp. 42-64.</text>
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                <text>&lt;a href="https://doi.org/10.4018/979-8-3693-1151-6.ch002" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.4018/979-8-3693-1151-6.ch002&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85193678719&amp;amp;doi=10.4018%2F979-8-3693-1151-6.ch002&amp;amp;partnerID=40&amp;amp;md5=ef25e3b7b4bcaa0f83efff37697c5c55" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85193678719&amp;amp;doi=10.4018%2f979-8-3693-1151-6.ch002&amp;amp;partnerID=40&amp;amp;md5=ef25e3b7b4bcaa0f83efff37697c5c55&lt;/a&gt;</text>
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                <text>ISBN: 979-836931152-3; 979-836931151-6</text>
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                <text>Jayalakshmi M., Christ University, India; Sneha A.M., Christ University, India; Girish S., Christ University, India</text>
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                <text>Role of AI in the inventory management of agri-fresh produce at HOPCOMS</text>
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                <text>Inventory management is vital for maintaining the efficiency of supply chain management. Fruits and vegetables being perishable in nature should involve inventory management to avoid wastage and loss in terms of over stocking and stock out situations. The present study focuses on the role of artificial intelligence (AI)-powered inventory management of fruits and vegetables at HOPCOMS, a cooperative society founded in Bangalore. In the road to satisfy the customers, it is necessary for the society to come up with different strategies to manage the inventories in which a retailer confronts overstock and stock out situation, affecting the profit of the society. Therefore, a study was conducted with the help of structured questionnaire among 122 retailers of HOPCOMS outlets in Bangalore. The results obtained from the study suggest that inventory valuation method positively influences AI-powered demand forecasting and customer order fulfillment, and AI-powered demand forecasting is positively related to customer order fulfillment.  2023, IGI Global. All rights reserved.</text>
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                <text>Raghavendra A.N.; Amalanathan S.</text>
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                <text>Advanced Machine Learning Algorithms for Complex Financial Applications, pp. 115-131.</text>
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                <text>&lt;a href="https://doi.org/10.4018/978-1-6684-4483-2.ch008" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.4018/978-1-6684-4483-2.ch008&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85147391775&amp;amp;doi=10.4018%2F978-1-6684-4483-2.ch008&amp;amp;partnerID=40&amp;amp;md5=308f61f819be6e04b21fec22a60d8977" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85147391775&amp;amp;doi=10.4018%2f978-1-6684-4483-2.ch008&amp;amp;partnerID=40&amp;amp;md5=308f61f819be6e04b21fec22a60d8977&lt;/a&gt;</text>
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                <text>Raghavendra A.N., CHRIST University (Deemed), India; Amalanathan S., CHRIST University (Deemed), India</text>
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                <text>Chauhan, Suryansh; Thapliyal, Shivani</text>
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                <text>Role of AI tools in evaluating brand performance</text>
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                <text>Strategic Brand Management in the Age of AI and Disruption;pp.53-80</text>
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                <text>&lt;a href="https://doi.org/10.4018/979-8-3693-9461-8.ch003" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.4018/979-8-3693-9461-8.ch003&lt;/a&gt; &lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/pages/publications/85219541528?origin=resultslist" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/pages/publications/85219541528?origin=resultslist&lt;/a&gt;</text>
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                <text>Chauhan S., Christ University, India; Thapliyal S., Christ University, India</text>
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                <text>The way organizations monitor and control brand performance has been significantly changed by the digital environment. Even though they are useful, traditional measurements frequently miss real-time changes in the market. AI-powered solutions are becoming essential resources in order to tackle this, providing a more precise and up-to-date view of brand health. This chapter explores how artificial intelligence (AI) is transforming brand performance evaluation. It does so by examining important metrics, analytics techniques, and particular AI solutions that are revolutionizing the market. Artificial intelligence (AI) enables organizations to make data-driven decisions with previously unheard-of speed and precision, from assessing brand awareness and consumer loyalty to forecasting future trends. In today's quickly changing digital landscape, marketers, analysts, and company executives can obtain a competitive advantage by comprehending how AI tools can improve brand performance evaluation.  2025, IGI Global Scientific Publishing. All rights reserved.</text>
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                <text>In a globalized tech-driven world, Artificial intelligence (AI) is a powerful weapon, providing pathways to reduce climate change. AI has a wide range of applications against climate change, including predictive analytics, environmental monitoring, and energy management. AI improves predictive analytics, providing information about disaster relief and climatic trends. Cutting-edge models anticipate extreme weather, rising sea-levels, and climate-related phenomena, enabling governments and communities to plan better for the society. AI-driven simulations help with urban planning and creation of climate resilient infrastructure. Application of AI in climate action confronts obstacles despite its potential. Important issues include algorithmic bias, privacy, and effects of computing on environment. To ensure AIs constructive contribution without unexpected consequences and addressing abovementionedconcerns requires strong governance frameworks, ethicalconsiderations, and ongoing research. This chapter examines how AI transforms climate action and enhances environmental preservation. Copyright  2026, IGI Global Scientific Publishing. Copying or distributing in print or electronic forms without written permission of IGI Global Scientific Publishing is prohibited. Use of this chapter to train generative artificial intelligence (AI) technologies is expressly prohibited. The publisher reserves all rights to license its use for generative AI training and machine learning model development.</text>
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                <text>Businesses in the ultramodern period of today concentrate on drawing in customers and changing to meet their wants. The digital revolution has altered customer engagement strategies for businesses, which has an effect on their lifespan. Businesses look for creative methods to improve customer experience in order to remain competitive. During the Industrial Revolution 4.0., artificial intelligence (AI) significantly changed customer management, and it continues to do so today, and will surely continue in future as well. This chapter analyzes the conceptual framework of customer engagement, industries strategies and ethical considerations, data safety and security, mitigating the bias of AI, customer interactions and customer journey, and how artificial intelligence rebuilds, enhances, and optimizes customer management in various industries. Featuring an emphasis on both present and future uses, this chapter investigates how AI might improve corporate offerings, services, and consumer interaction. This chapter delves at how perception analytics, chatbots, and personalized experiences may use AI to improve consumer engagement. It analyzes ethical issues including data privacy, transparency, and prejudice in AI-driven customer management, with an emphasis on fairness and trust. It also examines AI's role in anticipating what customers want and enhancing interactions. This study examines the use of AI to customer management, including obstacles and methods to improve company expansion through the use of pertinent data. This chapter presents an empirical case study on AI's challenges, opportunities, and future potential in customer management and business engagement.  2025 Shakti Swarupa Nayak, Himanshi R Giri, Thirupathi Manickam and Sriram Ananthan. Published under exclusive licence by Emerald Publishing Limited. All rights reserved.</text>
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                <text>Roy B., Christ University, India; D'Souza M.S., Christ University, India; Bhattacharjee S., Christ University, India; Acharjee P.B., Christ University, India; Thorat S., Christ University, India; Bhayani T., Christ University, India</text>
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                <text>Artificial intelligence (AI)-based solutions are used in most of our daily activities. AI has been adapted and it has found various applications. Cognitive research is one area where AI has been applied to understand the hidden patterns in the data. Neuroimaging techniques investigate the neural basis of cognitive processes like perception, attention, memory, language, reasoning, decision-making, and problem-solving. The irregularities in the cognitive process lead to cognitive disabilities and diseases. Neuroimaging techniques, including magnetic resonance imaging (MRI), functional MRI (fMRI), electroencephalography (EEG), and positron emission tomography (PET), along with other data-gathering techniques, are studied to identify cognitive disorders. The imaging techniques generate large amounts of complex data. AI methods, including machine learning (ML), deep learning (DL), natural language processing (NLP), and computer vision, are applied and used to analyse and interpret the data generated by various imagining techniques. Numerous techniques have been designed, developed, and proposed to handle the neuroimaging data for cognitive research with the help of AI techniques. AI techniques include ML algorithms like decision trees, random forest, support vector machine (SVM), principal component analysis (PCA), and DL algorithms, including convolution neural networks (CNNs), long short-term memory (LSTM), and generative adversarial networks (GANs). Recent advancements in the field of neuroimages use AI techniques to preprocess, process, and analyse the data generated by various neuroimaging modalities. This chapter provides an in-depth analysis and summary of various AI techniques for processing neuroimages for cognitive disorders.  2024 selection and editorial matter, Anitha S. Pillai and Bindu Menon; individual chapters, the contributors.</text>
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                <text>Machine Learning and Deep Learning in Neuroimaging Data Analysis, pp. 91-108.</text>
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                <text>Bhavana S., Department of Media Studies, Christ University, Bangalore Central Campus, India; Kumar A., School of Information Systems and Management, University of South Florida, United States; Unhelkar B., School of Information Systems, Muma College of Business, Sarasota-Manatee campus, United States</text>
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                <text>Augmented reality (AR) has emerged as a transformative tool in education, offering immersive experiences that enhance engagement and understanding across various domains. This study explores the potential of AR in promoting media literacy and sustainability awareness, two critical competencies in the modern information landscape. Through a mixed-methods approach, the research investigates how AR interventions can improve individuals ability to critically assess media content while simultaneously raising awareness about environmental sustainability. The study employs pre- and post-test evaluations, focus groups, and user interaction data to measure changes in media literacy and sustainability awareness among participants exposed to AR-based educational content. Findings indicate that AR significantly enhances media literacy by enabling users to better identify fake news, understand media bias, and critically evaluate information sources. The implications of these findings suggest that AR is not only a powerful tool for enhancing media literacy and sustainability awareness but also a catalyst for promoting informed, responsible, and proactive citizenship in the digital age.  2026 selection and editorial matter, Sonal Trivedi, Vishal Jain, Balamurugan Balusamy, Subhendu Pani, and Danish Ather.</text>
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                <text>One of the most significant advancements in plant biotechnology has been the production of genetically engineered plants. Due to the effects of pests damaging the majority of crops, the development of pest immunity was necessary for crop preservation. Plants that have had their gene makeup altered in-utero, such as Bacillus thuringiensis, which has insecticidal properties and helps protect crops from pests, are referred to as "genetically modified plants." Cry proteins, which are poisonous proteins that exist in the state of crystals, are the major genes responsible for the development of transgenic plants. Based on the effect of different pest species, cry proteins are divided into many categories. Since they are extremely specific by nature and only affect the target proteins, they are considered environmentally beneficial pesticides since they have no impact on the physiologically significant soil bacteria or other bacterial flora. These cry proteins stay as dormant crystals, but when a pest consumes plants, the inactive form of the crystals becomes active in the alkaline stomach pH of the microorganism, aiding in the rupture of the gut epithelium and ultimately causing the microorganism to die. These days, transgenic plants have been created, including BT corn, BT rice, sugarcane, brinjal, potato, tomato, and many more, it was also discovered that using these transgenic plants increased crop productivity. Transgenic plants can prevent several ecological issues associated with traditional pesticides, including the emergence of resistance, their toxicity to non-target living things, and the buildup of toxic waste in the environment. 2023 Horizon e-Publishing Group. All rights reserved.</text>
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                <text>Ramyashree C.S.; Carol C.M.; Kruthika P.; Pappuswamy M.; Chaudhary A.; Meyyazhagan A.; Arumugam V.A.; Balasubramanian B.</text>
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                <text>Plant Science Today, Vol-10, pp. 283-287.</text>
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                <text>&lt;a href="https://doi.org/10.14719/pst.2370" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.14719/pst.2370&lt;/a&gt; &lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85188538484&amp;amp;doi=10.14719%2Fpst.2370&amp;amp;partnerID=40&amp;amp;md5=8a9228ec7b6d9a35ac09303db002a90c" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85188538484&amp;amp;doi=10.14719%2fpst.2370&amp;amp;partnerID=40&amp;amp;md5=8a9228ec7b6d9a35ac09303db002a90c&lt;/a&gt;</text>
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                <text>All Open Access; Gold Open Access</text>
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                <text>Ramyashree C.S., Department of Life Sciences, Christ (Deemed to be University), Banglore, 560029, India; Carol C.M., Department of Life Sciences, Christ (Deemed to be University), Banglore, 560029, India; Kruthika P., Department of Life Sciences, Christ (Deemed to be University), Banglore, 560029, India; Pappuswamy M., Department of Life Sciences, Christ (Deemed to be University), Banglore, 560029, India; Chaudhary A., Department of Life Sciences, Christ (Deemed to be University), Banglore, 560029, India; Meyyazhagan A., Department of Life Sciences, Christ (Deemed to be University), Banglore, 560029, India; Arumugam V.A., Department of Human Genetics and Molecular Biology, Bharathiar University, Coimbatore, 641046, India; Balasubramanian B., Department of Food Science and Biotechnology, College of Life Sciences, Sejong University, Seoul, 05006, South Korea</text>
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                <text>Industrialization and urbanization have led to the release of increasing amounts of heavy metals into the environment. Metal ion contamination of drinking water and waste water is a serious ongoing problem especially with high toxic metals such as lead and cadmium and less toxic metals such as copper and zinc. Several biological materials have attracted many researchers and scientists as they offer both cheap and effective removal of heavy metals from waste water. Therefore it is urgent to study and explore all possible sources of agrobased inexpensive adsorbents for their feasibility in the removal of heavy metals. The objective was to study inexpensive adsorbents like various agricultural wastes such as sugarcane bagasse, rice husk, oil palm shell, coconut shell, and coconut husk in eliminating heavy metals from waste water and their utilization possibilities based on our research and literature survey. It also shows the significance of developing and evaluating new potential biosorbents in the near future with higher adsorption capacity and greater reusable options.  2016 Blessy Baby Mathew et al.</text>
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                <text>Journal of Toxicology, Vol-2016</text>
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                <text>Mathew B.B., Department of Biotechnology, Sapthagiri College of Engineering, 14/5 Chikkasandra, Hesarghatta Main Road, Bangalore, Karnataka, 560057, India; Jaishankar M., Department of Biotechnology, Sapthagiri College of Engineering, 14/5 Chikkasandra, Hesarghatta Main Road, Bangalore, Karnataka, 560057, India; Biju V.G., CUFE, Christ University, Kanmanike, Kumbalgodu, Bangalore, Karnataka, 560074, India; Krishnamurthy Nideghatta Beeregowda, Department of Biotechnology, Sapthagiri College of Engineering, 14/5 Chikkasandra, Hesarghatta Main Road, Bangalore, Karnataka, 560057, India</text>
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                <text>Role of biosynthesized silver nanoparticles in environmental remediation: a review</text>
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                <text>AgNPs; Dye degradation; Environmental remediation; Green synthesis; Heavy metal sensors</text>
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                <text>Nanoscience and nanotechnology have made remarkable advances that have significantly altered the environmental remediation process. Silver nanoparticles (AgNPs) are an essential and remarkable nanomaterial in environmental remediation. The potential of AgNPs in biomedical applications is well explored compared to their environmental applications. This review explores the biosynthesis and application of AgNPs in environmental remediation. The discussion continues with the challenges of using AgNPs for environmental remediation and concludes with the prospects of AgNPs. The review will be beneficial to all researchers and professionals who are starting their journey with AgNP synthesis.  2023, The Author(s), under exclusive licence to Springer Nature Switzerland AG.</text>
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                <text>The metaverse is generating widespread interest among organizations of various scales, as companies acknowledge its capacity for profound transformation. Prominent organizations are actively adopting the metaverse concept to improve their operations and interact with clients in innovative and captivating manners. This chapter examines the vital function that blockchain plays in bolstering user data security as it explores the urgent problem of data breaches in the metaverse sector. The authors also carefully examine recent data breach cases in the metaverse sector, such as sandbox incursions, deepfake attacks, and digital avatar assaults. By outlining these practical difficulties, they make clear how urgent it is to come up with reliable ways to safeguard user data in the metaverse. The study findings have emphasized the dynamic and evolving nature of the metaverse industry, which is now undergoing substantial development and continuous exploration. They have also focused on significant blockchain technologies that demonstrate potential in ensuring data security.  2024, IGI Global. All rights reserved.</text>
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&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85196154486&amp;amp;doi=10.4018%2F9798369324226.ch012&amp;amp;partnerID=40&amp;amp;md5=0b6786355aba8d5b9723913f8d53a497" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85196154486&amp;amp;doi=10.4018%2f9798369324226.ch012&amp;amp;partnerID=40&amp;amp;md5=0b6786355aba8d5b9723913f8d53a497&lt;/a&gt;</text>
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                <text>Emerging adult students often experience romantic relationship dissolutions, which is a normative yet distressing experience for them. The present study examines perceived academic performance and psychosocial functioning among university students who have had a broken romantic relationship in Indian context. The study employed a mixed-method explanatory sequential design including quantitative and qualitative data analysis. Researchers administered questionnaire to 104 students who are studying in Universities and had breakup incidence. Questionnaire included items on breakup distress scale, perceived academic performance, concentration, and quality of life focusing mental wellbeing and social relationship. Researchers selected survey and interview participants through word-of-mouth approach. Findings revealed that girls had high positive correlation between break distress and academic performance than boys. The narrative thematic analysis of qualitative data revealed three main themes and five sub-themes explaining the nuances of breakup and listed coping mechanisms used by the Indian youths to spring back from breakup distress. Future research may focus on how the early breakup incidents affect their post marriage relationship and life satisfaction.  2026 RESTORATIVE JUSTICE FOR ALL.</text>
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                <text>Shifting Power Dynamics in International Relations: From Unipolar Hegemony to Multipolarity;pp.371-398</text>
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                <text>Joseph J., Christ University, India</text>
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                <text>Compared to the previous century, international relations in the 21st century are more intense and complex. The global order moved from multipolarity (pre-Second World War period) to bipolarity (post-Second World War period) to unipolarity (post-Cold War era). Although many believed that unipolarity would continue to exist for long under the superpower leadership of the USA, it was short-lived. Globalization, liberalization, and an open economy reshaped the international order that echoes interconnectedness and interdependence. Accordingly, the 21st century witnesses the revival of multipolarity. However, this period advances the emergence of developing countries to the global scenario, demanding active roles in policy-making and decision-making processes. The BRICS grouping is one such body. Consisting of ten emerging economies, it has a unique position to stand for the developing world's interests. From this perspective, this chapter critically examines the role of BRICS in 21st-century international relations through the lens of multipolarity.  2026 by IGI Global Scientific Publishing. All rights reserved.</text>
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                <text>Role of charged impurities in thermoelectric transport in molybdenum disulfide monolayers</text>
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                <text>charged impurities; electrical conductivity; electronic thermal conductivity; MoS&lt;sub&gt;2&lt;/sub&gt;; Thermoelectric power</text>
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                <text>A theoretical study of the electronic properties, namely, electrical conductivity (EC), electronic thermal conductivity (ETC) and thermoelectric power (TEP) in 2D MoS2 monolayers (MLs), over a wide range of temperatures (10 &amp;lt; T &amp;lt; 300 K), is presented employing Boltzmann transport formalism. Considering the electrons to be scattered by screened charged impurities and the acoustic, optical and remote phonons, the transport equation is solved using Ritz iterative method. Numerical calculations of EC, ETC and TEP presented for supported and free-standing MLs with high electron concentrations, as a function of temperature, bring out the relative importance of the various scattering mechanisms operative. The role of CIs, with regard to both concentration and separation from the substrate-ML interface, in determining the properties of supported MLs is demonstrated for the first time. Validity of Wiedemann-Franz law and Mott formula are examined for supported and free standing MLs. Calculations are in consonance with recent experimental data on mobility and TEP of exfoliated SiO2-supported MoS2 ML samples. In the case of TEP it is found that though the diffusion contribution is dominant the inclusion of the drag component, incorporating contributions from all relevant phonon scattering mechanisms, is needed to obtain good agreement with the data.  2017 IOP Publishing Ltd.</text>
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                <text>Patil S.B.; Sankeshwar N.S.; Mulimani B.G.</text>
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                <text>Patil S.B., Department of Physics, Karnatak University, Dharwad, Karnataka, 580003, India; Sankeshwar N.S., Department of Physics, Karnatak University, Dharwad, Karnataka, 580003, India, Department of Physics, Christ University, Bangalore, Karnataka, 560029, India; Mulimani B.G., B.L.D.E. University, Vijayapura, Karnataka, 586103, India</text>
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