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                <text>Rajendran R., The Oxford College of Pharmacy, Karnataka, Bengaluru, India; Thomas S., School of Nanoscience and Nanotechnology, Mahatma Gandhi University, Kerala, Kottayam, India, Department of Physics and Electronics, Christ University, Bangalore, India, Center of Excellence in Polymeric Materials for Medical Practice Devices, Department of Chemical Engineering, Faculty of Engineering, Chulalongkorn University, Bangkok, Thailand, TrEST Research Park, Kerala, Trivandrum, India</text>
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                <text>Manoj R.K., Department of Electrical and Electronics Engineering, Academy of Maritime Education and Training, Deemed to be University, Tamil Nadu, India; Senthilnathan S., Department of Electronics and Communication Engineering, School of Engineering and Technology, Christ University, Bangalore, India; Selvi S.A., Computer Science and Engineering, Holy Cross Engineering College, Tamil Nadu, India; Kumar T.A., Computer Science and Engineering, IFET College of Engineering (Autonomous), Tamil Nadu, India; Balamurugan S., iRCS, an Indian Technological Research &amp;amp; Consulting Firm, Coimbatore, Tamil Nadu, Coimbatorex, India</text>
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                <text>For industry practitioners, academic researchers, and governance professionals alike, this book offers both clarity and depth in one of the most important domains of modern technology. As AI matures, trust and risk management will define its success-and this book lays the groundwork for achieving that vision. As AI continues to permeate sectors ranging from healthcare to finance, ensuring that these systems are not only powerful but also accountable, transparent, and secure, is more critical than ever. This book offers a vital exploration into the intersection of trustworthiness, risk mitigation, and security governance in artificial intelligence systems, serving as a definitive guide for professionals, researchers, and policymakers striving to build, deploy, and manage AI responsibly in high-stakes environments. Using a comprehensive approach, it explores how to integrate technical safeguards, organizational practices, and regulatory alignment to manage the unique risks posed by AI, including algorithmic bias, data misuse, adversarial attacks, and opaque decision-making. The result is a strategic approach that not only identifies vulnerabilities, but also promotes resilient, auditable, and trustworthy AI ecosystems. At its core, AI TRiSM is a forward-looking concept that embraces the realities of AI in production environments. The framework moves beyond traditional static models of governance to propose dynamic, adaptive controls that evolve alongside AI systems. Through real-world case studies, the book outlines how tools like model cards, bias audits, and zero-trust architectures can be embedded into the AI development lifecycle. Readers will find the volume:  Introduces concepts to stay ahead of regulations and build trustworthy AI systems that customers and stakeholders can rely on;  Addresses security threats, bias, and compliance gaps to avoid costly AI failures;  Explores proven frameworks and best practices to deploy AI responsibly and strategies to outperform;  Provides comprehensive guidance through real-world case studies and contributions from industry and academia. Audience AI and machine learning engineers, data scientists, cybersecurity and risk management specialists, academics, researchers, and policymakers specializing in AI ethics, security, and risk management.  2026 Scrivener Publishing LLC.</text>
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                <text>Prasanth A., Department of Computer Science and Engineering, Vel Tech Rangarajan Dr. Sagunthala R&amp;amp;D Institute of Science and Technology, Chennai, India; Dhanaraj R.K., Symbiosis Institute of Computer Studies and Research (SICSR), Symbiosis International (Deemed University), Pune, India; Sabharwal M.; Sharma V., Computer Science Department, Christ University, Bengaluru, India; Kadry S.</text>
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                <text>Tyagi A.K., Department of Fashion Technology, National Institute of Fashion Technology, New Delhi, India; Tiwari S., School of Computing Science and Engineering (SCSE), Galgotias University, Uttar Pradesh, Greater Noida, India; Arumugam S.K., Department of Professional Studies, Christ University, Bengaluru, India; Sharma A.K., Dept. of Computer Science and Engineering, Sharda University, Greater Noida, India</text>
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                <text>An essential book on the applications of AI and digital twin technology in the smart manufacturing sector. In the rapidly evolving landscape of modern manufacturing, the integration of cutting-edge technologies has become imperative for businesses to remain competitive and adaptive. Among these technologies, Artificial Intelligence (AI) stands out as a transformative force, revolutionizing traditional manufacturing processes and making the way for the era of smart manufacturing. At the heart of this technological revolution lies the concept of the Digital Twin-an innovative approach that bridges the physical and digital realms of manufacturing. By creating a virtual representation of physical assets, processes, and systems, organizations can gain unprecedented insights, optimize operations, and enhance decision-making capabilities. This timely book explores the convergence of AI and Digital Twin technologies to empower smart manufacturing initiatives. Through a comprehensive examination of principles, methodologies, and practical applications, it explains the transformative potential of AI-enabled Digital Twins across various facets of the manufacturing lifecycle. From design and prototyping to production and maintenance, AI-enabled Digital Twins offer multifaceted advantages that redefine traditional paradigms. By leveraging AI algorithms for data analysis, predictive modeling, and autonomous optimization, manufacturers can achieve unparalleled levels of efficiency, quality, and agility. This book explains how AI enhances the capabilities of Digital Twins by creating a powerful tool that can optimize production processes, improve product quality, and streamline operations. Note that the Digital Twin in this context is a virtual representation of a physical manufacturing system, including machines, processes, and products. It continuously collects real-time data from sensors and other sources, allowing it to mirror the physical systems behavior and performance. What sets this Digital Twin apart is the incorporation of AI algorithms and machine learning techniques that enable it to analyze and predict outcomes, recommend improvements, and autonomously make adjustments to enhance manufacturing efficiency. This book outlines essential elements, like real-time monitoring of machines, predictive analytics of machines and data, optimization of the resources, quality control of the product, resource management, decision support (timely or quickly accurate decisions). Moreover, this book elucidates the symbiotic relationship between AI and Digital Twins, highlighting how AI augments the capabilities of Digital Twins by infusing them with intelligence, adaptability, and autonomy. Hence, this book promises to enhance competitiveness, reduce operational costs, and facilitate innovation in the manufacturing industry. By harnessing AIs capabilities in conjunction with Digital Twins, manufacturers can achieve a more agile and responsive production environment, ultimately driving the evolution of smart factories and Industry 4.0/5.0. Audience: This book has a wide audience in computer science, artificial intelligence, and manufacturing engineering, as well as engineers in a variety of industrial manufacturing industries. It will also appeal to economists and policymakers working on the circular economy, clean tech investors, industrial decision-makers, and environmental professionals.  2024 Scrivener Publishing LLC.</text>
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                <text>Chokkareddy R., Department of Chemistry, Aditya University, Andhra Pradesh, India, Department of Chemistry, Durban University of Technology, Durban, South Africa; Kanchi S., Department of Chemistry, CHRIST University, Bengaluru, India; Redhi G.G., Department of Chemistry, Durban University of Technology, Durban, South Africa</text>
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                <text>This book provides an in-depth investigation of different psychological phenomena in forensic psychology through an analysis of key case studies in the field. There is a growing requirement for a comprehensive resource that provides practical examples of how forensic psychology models are applied in real-life situations. Filling this lacuna, International Cases in Forensic Psychology takes the reader through a series of prominent case studies that illustrate the intricate details of criminal investigations, judicial proceedings, and correctional settings. Drawing on a diverse range of examples from the US, UK, Belgium, Russia, Columbia, Germany, and India which include serial murder, financial deception, and maternal psychosis, Dr. K. Jayasankara Reddy applies psychological theories and methods to understand the intricacies of criminal conduct. These theories range from criminal profiling and behavioral analysis, to the psychology of deceit and the dynamics of influence. Overall, the book will enhance the readers ability to analyze the fundamental reasons behind criminal behaviour and develop more efficient approaches for rehabilitating offenders. International Cases in Forensic Psychology will be of great interest to students and professionals of forensic psychology, neuropsychology, criminal justice, and related fields.  2025 K. Jayasankara Reddy.</text>
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                <text>Alternative Worldview: The Naga Weretiger, an Ecolegend in When the Millet Fields Flower</text>
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                <text>Forum for World Literature Studies;Volume;18;Issue;1;pp.81-95</text>
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                <text>Yhome L.K., Department of English, St. Joseph's College Jakhama, Jakhama, 797001, India; Sabu M., Department of English and Cultural Studies, Christ University, Karnataka, Bengaluru, 560076, India</text>
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                <text>This paper analyses the Naga Eco-legend tekhumevi to introduce an alternative worldview through Indigenous communities' philosophy and lived experience. In the context of contemporary environmental discourses, literature plays a significant part in highlighting the affective folklore guiding ethical, environmental practices in regions that are considered ecologically rich areas. Foregrounding the vibrant tapestry of North East Indian Indigenous cultures, it aims to discuss the impact of extraordinary stories on the lives of Nagas and how they shape the community's worldviews. This includes their relationships with the non-human world and their cultural identity. The paper also discusses the vitality of the traditional ecological knowledge of the Indigenous communities and its potential to offer alternative ecological sustenance ethics through holistic worldviews. The oral tradition of the Naga community has re-emerged time and again as a potent tool in offering ecological solutions and abiding by the ethics of sustenance and co-existence. The paper discusses an example of such a toolthe Naga weretiger, or tekhumevi's colonial imagery in the Naga oral histories and lore. However, the perception of such philosophical instruments sees a change because of social and ideological shifts that may be attributed to the intervention of scientific technologies, religion, worldviews, and rationale. Similarly, the accelerated climate health crisis has shifted the focus to an inclusive approach in the 'literature of nature', especially towards the more-than-human, as an alternative to this crisis. The paper reinforces the importance of folk literature and its relevance in the contemporary Naga community, reaffirming Indigenous cosmovision and epistemologies as spaces of resistance and representation. Avinuo Kire's "When the Millet Fields Flower" from The Last Light of Glory Days (2021) intersects magic, terror, community, spiritualism, and ecological ethics. The tekhumevi narrative reinstates the Naga ecological wisdom of bridging the gap and promoting a liminal existence/relationship between the Naga people and non-human entities and spirits.  2026, Knowledge Hub Publishing Company Limited (Hong Kong). All rights reserved.</text>
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                <text>folklore; identity; nativized Christianity; Peplestories; Tekhumevi</text>
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                <text>Knowledge Hub Publishing Company Limited (Hong Kong)</text>
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                <text>ISSN: 19498519;</text>
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                <text>Restricted Access; Hardcopy may be available in the library</text>
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                  <text>Faculty Publications</text>
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                <text>Yadati, Nymisha; Thomas, Benny; Rajan, Santhosh Kareepadath</text>
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                <text>Promoting equity through teacher practices: A scoping review on transformative social-emotional learning</text>
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                <text>Issues in Educational Research;Volume;35;Issue;1;pp.422-441</text>
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                <text>Yadati N., CHRIST University, Bangalore, India; Thomas B., CHRIST University, Bangalore, India; Rajan S.K., CHRIST University, Bangalore, India</text>
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                <text>Literature on teachers transformative social-emotional learning (TSEL) is emerging and focuses on improving teachers' competency in delivering and implementing equity-focused SEL among students. Our study is a scoping review aiming to understand the characteristics of existing literature regarding teachers TSEL, identify gaps, and discuss future research directions. It follows JBI guidelines for a scoping review and the PRISMA-ScR method for screening the literature. A systematic search was conducted in eight databases, and eleven studies were identified. Our findings report the characteristics of the studies and explain related concepts. We found that teachers need to be engaged in transformative SEL education to implement TSEL among students and build healthy teacher-student bonds. Teachers need to incorporate culturally relevant pedagogies in SEL to cater for the needs of students from diverse communities. Stretching was identified as a strategy to integrate social justice issues into traditional SEL practices to make social-emotional learning transformative.  2025, Western Australian Institute for Educational Research Inc.. All rights reserved.</text>
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                <text>Western Australian Institute for Educational Research Inc.</text>
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                <text>ISSN: 3137155;</text>
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              <elementText elementTextId="228575">
                <text>Restricted Access; Hardcopy may be available in the library</text>
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