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Artificial Historians
by Anne Martin Marnie Hughes-Warrington Lewis Yarlupurka O'BrienThis book offers readers an introduction to the world of artificial histories and historians. It looks behind the interfaces of AI and explores everyday platforms and prize-winning history books to identify how people and algorithms make histories and how they might make histories in the future.Every moment around the globe, histories are made about ordinary people who use digital devices. These histories are not made by professional historians or even by humans but by artificial intelligence that scours our digital footprints for patterns. AI histories not only shape recommendations about what we might buy or stream but also our access to education, healthcare, and justice. The outcomes of recommendation systems are not just a technology problem or an ethics problem. This book argues that this is also a history problem, and it needs to be understood as one if we are to make fairer or more just systems. It shows us that the deep history of history making—including Australian Aboriginal and First Nations histories—can help us to navigate the future of history in AI.Presenting readers with a range of familiar and accessible examples, Artificial Historians is a valuable resource for students, scholars, and all those interested in global historiography, technology, and artificial intelligence.
Artificial Intelligence Paradigms for Application Practice
by Shiguo Lian Zhaoxiang LiuThis book proposes practical application paradigms for deep neural networks, aiming to establish best practices for real-world implementation.Over the past decade, deep neural networks have made significant progress. However, effectively applying these networks to solve various practical problems remains challenging, which has limited the widespread application of artificial intelligence. Artificial Intelligence Paradigms for Application Practice is the first to comprehensively address implementation paradigms for deep neural networks in practice. The authors begin by reviewing the development of artificial neural networks and provide a systematic introduction to the tasks, principles, and architectures of deep neural networks. They identify the practical limitations of deep neural networks and propose guidelines and strategies for successful implementation. The book then examines 14 representative applications in urban planning, industrial production, and transportation. For each case, the authors present a landing paradigm that effectively addresses practical challenges supported by illustrations, background information, related work, methods, experiments, and conclusions. The experimental results validate the effectiveness of the proposed implementation approaches.The book will benefit researchers, engineers, undergraduate, and graduate students interested in artificial intelligence, deep neural networks, large models, stable diffusion models, video surveillance, smart cities, intelligent manufacturing, intelligent transportation, and other related areas.
Artificial Intelligence and Accounting: Ethical, Legal, and Social Implications (Routledge Studies in Accounting)
by Manjit Kour Daniel P. SchutteIn the dynamic field of accounting, where accuracy and productivity are critical, artificial intelligence (AI) integration has become a game-changer and AI is set to affect every industry. With the speed at which technology is developing, a thorough manual that helps readers understand the complex world of AI in accounting is desperately needed. By offering a sophisticated grasp of how AI is changing the core ideas of accounting and financial management, this book bridges this knowledge gap. It explores the relationship between AI technology and accounting processes, revealing the significant influence and unrealised potential outside of traditional bookkeeping.This book delves into how AI is revolutionising accounting procedures. It explores the newest AI technologies and their uses in financial data processing, auditing, compliance, and forecasting, ranging from machine learning to predictive analytics. It ensures responsible AI integration by addressing biases, accountability, and transparency while emphasising ethical considerations. This book provides case studies, practical advice, and examples from the real world, guaranteeing that readers not only understand the theoretical foundations of AI in accounting but also get the knowledge necessary to apply and maximise these technologies within their professional domains by connecting theory and application. It offers a road map for traversing the accounting industry's AI frontier, from using predictive analytics to make well-informed decisions to automating repetitive activities.This book will enable accountants, auditors, and financial analysts to prosper in the emerging AI-driven world.
Artificial Intelligence and Animal Ecology: A Review
by Lidia Ghosh Amiyangshu DeArtificial Intelligence and Animal Ecology: A Review explores the transformative synergy between AI and animal ecology, unveiling how cutting-edge technology is revolutionizing ecological research and conservation. This pioneering book bridges these dynamic fields, demonstrating how AI techniques—such as evolutionary algorithms and optimization methods—both draw inspiration from and advance the study of animal behavior, species interactions, and environmental adaptation. With a strong focus on innovation, it examines groundbreaking AI applications, from bio-inspired algorithms and adaptive learning to breakthroughs in animal communication and behavioral analysis. Readers will gain valuable insights into how AI deciphers complex ecological dynamics, including navigation, vocal communication, and interspecies relationships. The book also addresses ethical considerations, ensuring responsible AI integration in ecological research.More than just a review, this book is a call to action. It empowers researchers, conservationists, and ecologists to embrace AI-driven solutions, fostering interdisciplinary collaboration and expanding the frontiers of ecological knowledge. As AI continues to evolve, Artificial Intelligence and Animal Ecology: A Review provides a vital roadmap for addressing environmental challenges with innovation and a deeper appreciation of the natural world.
Artificial Intelligence and Computer Vision for Ecological Informatics
by Sanjeev Jain Akhilesh Tiwari Siddharth Singh Chouhan Uday Pratap Singh Akash SaxenaEcological informatics, more commonly known as Ecoinformatics, is the study of environmental sciences and ecological information. It is an emerging interdisciplinary framework for the management, analysis, and synthesis of ecological data with the help of advanced computational intelligence algorithms. Management in this context is data acquisition, preprocessing, and sharing the data. Analysis and synthesis are the process of extracting useful information and forecasting with the help of intelligent algorithms.The aim of this book is to encapsulate concepts and theories of artificial intelligence and computer vision algorithms used for the evaluation of various ecological informatics applications. It focuses on soft computing, machine learning, deep learning, artificial intelligence, bio-inspired algorithms, data analysis tools, data visualization tools, and computer vision algorithms used in ecological informatics. The book covers remote sensing applications, water bodies evaluation, agriculture mapping, aquatic mapping, forest management, and terrestrial ecosystems.The book will be useful to students, researchers, scientists, and field experts in directing their work towards this domain, to deliver and design models and prototypes for the benefit of society and the environment.
Artificial Intelligence and Digital Forensics: Advancements, Applications, Challenges, and Solutions
by Archana Patel Naveen Kumar Chaudhary Abinash Mishra Chothmal KumawatArtificial Intelligence (AI) has revolutionized several sectors, with digital forensics being one that has been notably affected by its rapid advancement. AI brings previously unheard-of powers to this field, helping authorities examine large datasets, identify developments, and uncover digital evidence that is essential to cracking cybercrimes. Despite these promising developments, using AI in digital forensics presents problems. The complexity and dynamic nature of cyber-attacks are a significant challenge, demanding the ongoing adaptation of AI models to new attack strategies. This changing environment makes it difficult to create reliable and future-proof solutions. This book explores the advancements, applications, challenges, and solutions that AI brings to the realm of digital forensics.Artificial Intelligence and Digital Forensics: Advancements, Applications, Challenges, and Solutions includes the latest applications and examples with real data making the book meaningful for readers. It is written in very simple language with each technology having its dedicated chapter that explains how it works and provides an example of a real-world application. Key points and a summary are provided at the end of each chapter to enable the readers to quickly review the major concepts as it presents a practical understanding, so the readers can be better equipped to handle AI-based tools with ease and efficiency. The book provides unconditional support to those who are making decisions by using massive data from their organization and applying the findings to real-world current business scenarios addressing the challenges associated with integrating AI into digital forensics and offering practical solutions. It also offers insights into the ethical use of AI technologies and guidance on navigating legal requirements and ensuring responsible and compliant practices.This book caters to industry professionals from diverse backgrounds, including engineering, data science, computer science, law enforcement, and legal experts, fostering a holistic understanding of the subject along with providing practical insights and real-world examples.
Artificial Intelligence and Machine Learning Algorithms for Engineering Applications
by Krishan Arora Aeidapu MaheshThis book comprehensively covers core algorithms and techniques used in artificial intelligence (AI) and machine learning (ML) for engineering applications. It further explores the use of AI in civil and structural engineering, quality control, and product design.Features: Presents autonomous robots using onboard computing and artificial intelligence (AI) algorithms to process the data from their sensors and make real-time decisions. Discusses nature-based optimization-based computing techniques to enhance the computational speed for solving engineering problems. Provides conceptual and practical knowledge about the design of modern computation techniques with advanced tools and methodologies. Highlights the importance of using smart techniques including AI and ML in product design and development. Covers time series analysis and forecasting in engineering, robotic process automation, and autonomous robots in manufacturing. The text is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electronics and communications engineering, computer science and engineering, manufacturing engineering, and environmental engineering.
Artificial Intelligence and Taxation Law: Double Taxation Dispute Resolution (Routledge Research in Tax Law)
by Enrico GalloThis book identifies how artificial intelligence (AI) systems can be used as part of decision processes within international tax and transfer pricing disputes.The issue of double taxation and its impact on economic development continues to escalate as globalization causes states to interact on a growing scale. In recent years, AI applications have shown potential to solve this issue, particularly in reference to the length of time taken to resolve cases of double taxation in the field of transfer pricing. These cases can typically take at least two or more years to resolve, resulting in high cost to taxpayers and tax administrations. The book identifies the current legal frameworks available to prevent and solve tax and more specific transfer pricing disputes and details their advantages and disadvantages. Providing an analysis of what AI can offer to different legal principles, it shows how this can challenge existing rules, and the changes this requires within the legal framework. The book provides an overview of the challenges and opportunities that lie at the intersection of AI systems and the domain of international law, providing case studies to demonstrate its practical applications. It asks and answers the fundamental question: Can AI, or more specifically machine learning (ML), replace human decisions within the resolution of international tax and transfer pricing disputes?The book will be of interest to researchers in the field of tax law, data protection law, consumer protection law, intellectual property law and artificial intelligence.
Artificial Intelligence for Natural Language Processing
by Thompson Stephan Dhanalekshmi Prasad Yedurkar Ganesh R. Pathak Manisha GalphadeArtificial Intelligence for Natural Language Processing offers a comprehensive exploration of how advanced computational methods are transforming the way machines understand human language. This book delves into the core principles of Natural Language Processing through an engaging progression – from fundamental word‑level analysis to complex discourse and pragmatic analysis – integrating linguistic theory with cutting‑edge Artificial Intelligence methodologies. It provides a robust framework for both the theoretical underpinnings and practical applications of NLP, ensuring that readers gain a clear understanding of how computers can effectively process and interpret human language.What sets this book apart is its methodical structure that guides the reader through each level of language analysis, building upon earlier chapters to culminate in a deep integration of artificial intelligence within NLP systems. The detailed explanations and examples are designed to bridge the gap between abstract theory and real‑world application, making it an invaluable resource for anyone looking to grasp the nuances of language processing.FEATURES Provides a step‑by‑step progression from word‑level analysis to syntactic, semantic, and pragmatic processing Offers in‑depth discussions on word sense disambiguation with illustrative examples Presents an exploration of discourse integration and contextual meaning essential for modern NLP models Delivers comprehensive coverage of AI applications in NLP, highlighting state‑of‑the‑art computational techniques Suggests clear, accessible explanations suitable for both beginners and advanced practitioners This book is ideal for graduate students, researchers, and professionals in computer science, linguistics, and artificial intelligence. Whether you are a seasoned researcher looking to deepen your understanding or a newcomer eager to explore the field, Artificial Intelligence for Natural Language Processing serves as both an essential academic resource and a practical guide for navigating the evolving landscape of language technology.
Artificial Intelligence in Biobanking: Ethical, Legal and Societal Challenges
by Santa Slokenberga Michaela Th. Mayrhofer Signe MežinskaThis insightful collection highlights the ethical, legal and societal issues associated with the increasing role played by artificial intelligence (AI) in medical biobanks, a key research resource in the global study of disease prevention and improving individual care.Although AI has the potential to speed up health research, the book considers numerous questions that the technology poses, from the building of trust to the prevention of harm to individuals, vulnerable groups or entire populations. Examining the tension between scientific progress and safeguarding of individual rights, and covering key issues such as accountability, data bias, transparency, and liability, the book considers the legal landscape in which biobanks operate, and what layers of governance are required to oversee such an important resource in a fluid technological age.A timely volume that brings together scholars and experts from social sciences, ethics, and law, this important book will interest researchers and professionals in Biomedicine, Law, and the broader Health Sciences.The Open Access version of this book, available at http://www.taylorfrancis.com, has been made available under a Creative Commons Attribution CC BY 4.0 license.
Artificial Intelligence in Fisheries: Transformative Potentials and Challenges
by Sylvester Chibueze Izah Matthew Chidozie Ogwu Adams Ovie IyiolaArtificial Intelligence in Fisheries delves into the transformative role of AI in the fisheries and aquaculture. It provides a comprehensive overview of how AI applications—from fish stock assessment and environmental monitoring to sustainable aquaculture and policy development—are revolutionizing the sector. By enhancing data-driven decision-making, increasing efficiency, and addressing ecological challenges, this book serves as a practical guide for scientists, industry professionals, and policymakers. With contributions from experts, scholars and practitioners, the book brings together theoretical foundations and real-world applications to explore AI's potential to drive sustainable practices in fisheries. Readers will gain insight into how AI can help optimize resource use, protect endangered species, and promote responsible fishing practices. It offers valuable perspectives and actionable strategies to support the future of sustainable fisheries and aquaculture.
Artificial Intelligence in Healthcare: Second International Conference, AIiH 2025, Cambridge, UK, September 8–10, 2025, Proceedings, Part I (Lecture Notes in Computer Science #16038)
by Hao Ni Daniele Cafolla Timothy RittmanThe two-volume set constitutes the proceedings of the Second International Conference on Artificial Intelligence in Healthcare, AIiH 2025, which took place in Cambridge, UK, in September 2025. The 60 full papers included in this book were carefully reviewed and selected from 83 submissions. They were organized in topical sections as follows: Health informatics, Personalised Healthcare, Robotics, Assisted Living Technology, Computational Medicine, Long-term Health Conditions, Maternity and Women&’s Health and Wellbeing.
Artificial Intelligence in Healthcare: Second International Conference, AIiH 2025, Cambridge, UK, September 8–10, 2025, Proceedings, Part II (Lecture Notes in Computer Science #16039)
by Hao Ni Daniele Cafolla Timothy RittmanThe two-volume set constitutes the proceedings of the Second International Conference on Artificial Intelligence in Healthcare, AIiH 2025, which took place in Cambridge, UK, in September 2025. The 60 full papers included in this book were carefully reviewed and selected from 83 submissions. They were organized in topical sections as follows: Health informatics, Personalised Healthcare, Robotics, Assisted Living Technology, Computational Medicine, Long-term Health Conditions, Maternity and Women&’s Health and Wellbeing.
Artificial Intelligence in Legal Systems: Bridging Law and Technology through AI
by Eriona Çela Narasimha Rao Vajjhal Behrouz A. AslaniThis book presents a comprehensive analysis of the transformative impact of artificial intelligence (AI) on legal frameworks within the European Union and beyond. It illustrates both the promising benefits of AI in improving access to justice and the significant challenges that necessitate thoughtful regulatory frameworks and interdisciplinary cooperation.This book highlights the expansive applications of AI, ranging from case management to predictive analytics, while also scrutinizing ethical challenges and legal implications. It addresses the pressing issue of data protection in the context of Generative Pre-trained Transformer (GPT) technology, emphasizing the EU’s commitment to individual privacy rights. This book also evaluates AI’s role in public governance, using Albania as a case study, and examines the potential of blockchain technology in enhancing legal processes. The ethical nuances surrounding AI’s integration into legal systems are critically examined, particularly regarding algorithmic bias and human oversight. This book advocates for a collaborative approach involving legal experts and data scientists to navigate these complexities effectively.This book is a key resource for postgraduate students, researchers, and legal professionals seeking to better understand the benefits and risks of incorporating AI into legal practice.
Artificial Intelligence in Public Administration (Routledge Studies in Innovation, Organizations and Technology)
by Radosław Wolniak Bożena Skotnicka-ZasadzieńThis book presents a conceptualization of the process of using artificial intelligence (AI) in public administration, along with its operationalization in terms of technology, competence, and the use of AI by employees of municipal offices. The authors offer a holistic examination, drawing on a multidisciplinary approach that combines theoretical insights with empirical analyses, to develop a theoretical model for improving the use of AI in public administration.The book provides a nuanced understanding of the complex interactions between AI technologies, governance structures, and public service delivery models, as well as diverse case studies across administrative domains to offer cross-national insights and shedding light on the contextual factors shaping AI adoption and implementation strategies. Through dedicated chapters on ethics and safety, the book also critically examines the challenges and opportunities policymakers must navigate when implementing AI.Combining theory with practice, this book will be of interest to scholars and post-graduate students in the fields of public administration, policy studies, governance as well as artificial intelligence and technology management.
Artificial Intelligence in the Production of Biotherapeutics: Principles, Practices, and Standards
by Priyanka Das Alok Kumar SrivastavThe transformative role of artificial intelligence (AI) in modern biomanufacturing focuses on key areas such as process analytical technology (PAT), Good Manufacturing Practice (GMP) compliance, predictive analytics, and AI-driven quality systems. It bridges cutting-edge AI applications with the complexities of biotherapeutic production, offering insights into automation, real-time monitoring, and process optimization.Delving into the core of biomanufacturing, the book provides a structured journey through its critical phases. It begins with an introduction to modern biomanufacturing principles, quality by design approaches, and the integration of AI. Subsequent chapters examine raw material management, lean manufacturing practices, and the application of predictive analytics to optimize supply chains. Readers will explore advanced tools such as AI-enhanced data acquisition in PAT, automated standard operating procedures (SOPs), and AI-driven process controls for fermenters and chromatography systems. The text also addresses GMP essentials, including personnel management, hygienic facility design, and pharmaceutical water systems. Key chapters highlight AI’s role in validation processes, sterile packaging, and regulatory compliance, referencing global guidelines from organizations such as the WHO, FDA, and ICH. Real-world case studies featuring therapeutic proteins, monoclonal antibodies, and vaccines underscore the practical applications of AI in scaling and maintaining biotherapeutic production.This book equips readers with a comprehensive understanding of AI’s potential to enhance efficiency, accuracy, and compliance in biomanufacturing. Whether you are a professional, researcher, or student, this guide offers actionable insights into leveraging AI to revolutionize biotherapeutic production while adhering to the highest industry standards.What You Will Learn: Understand how AI enhances every phase of biotherapeutic production, from raw material management to regulatory compliance, optimizing efficiency, accuracy, and quality Explore the role of AI in advanced data acquisition, process control, and continuous improvement, including applications in fermenters, flow filtration, and chromatography systems Gain insights into leveraging AI for automating standard operating procedures (SOPs), predictive maintenance, quality assurance, and adhering to global GMP standards like WHO and FDA guidelines Learn how AI transforms upstream and downstream processes, ensures sterility in packaging, and supports case studies on therapeutic proteins, monoclonal antibodies, and human vaccines Discover the potential of AI in shaping the future of biomanufacturing, including challenges, data security, and the ethical implications of AI-driven automation
Artificial Intelligence, Geographic Information Systems, and Multi-Criteria Decision-Making for Improving Sustainable Development (Advances in Computational Collective Intelligence)
by Indrajit Pal Kamalakanta Muduli Purushottam Meena Sujoy Kumar JanaThe Asia-Pacific region, home to some of the world’s fastest-growing economies, faces a range of complex challenges, including environmental degradation, the increasing frequency of natural hazards, and rapid urbanization. Addressing these issues, which many countries across the globe are facing, requires innovative, interdisciplinary approaches to promote sustainable development and enhance resilience. Geographic information systems (GIS), when combined with multi-criteria decision-making (MCDM) techniques and advanced technologies such as artificial intelligence (AI), offer powerful tools to tackle these multifaceted problems. AIGIS integrates AI with GIS to derive insights from geospatial data. The fusion of AI techniques with GIS enhances data analysis, visualization, and decision-making. Artificial Intelligence, Geographic Information Systems, and Multi-Criteria Decision-Making for Improving Sustainable Development explore how these integrated tools can support decision-making processes aimed at advancing sustainable development.Drawing on research and insights from diverse disciplines, the book looks at how GIS, MCDM, and AI can provide solutions for disaster risk reduction, environmental monitoring, urban planning, and natural resource management. Through diverse case studies and theoretical explorations, this book highlights the value of integrated geospatial tools in facilitating informed decision-making and fostering resilient societies in the face of evolving challenges. It covers a wide range of topics, including the following: Site-soil-geology assessments in Fiji Flood risk analysis in Hong Kong Air quality management in Delhi during the COVID-19 pandemic Vegetation health monitoring in Thailand Bringing together the work of academicians, practitioners, and decision-makers, the book reflects the growing recognition towards effective and sustainable solutions to complex problems, which require a multidimensional approach, integrating scientific, economic, and social considerations. By providing the latest research and practical applications of MCDM, AI, and GIS, it contributes to ongoing efforts to build a more sustainable and resilient future for the Asia-Pacific region, as well as for the world.
Artificial Media: Emerging Trends in Narratives, Education and Creative Practice (Springer Series on Cultural Computing)
by Damián Keller Nelson ZagaloA groundbreaking exploration of the evolving relationship between the fields of artificial intelligence and creativity studies, Artificial Media charts the course of a transformative path toward hybrid methodologies involving computing and human-centric approaches. Scholars and practitioners from leading research centers in South America, Asia and Europe delve into theoretical and philosophical frameworks, practical deployments and data-based critical analyses of artificial-media initiatives that reconfigure authorship and collaboration. Co-creation, collective memory, and situated-knowledge practices are featured in multiple hands-on examples of technological design, music, visual-arts, journalistic and educational projects that address the ethical and social implications of generative techniques. Through an interdisciplinary lens, this collection, projects a nuanced panorama of both the remarkable results and the complex challenges of emerging artificial-media methods, offering practical insights for anyone seeking to engage with the future of creativity in the age of autonomous machines.
Artificial Neural Networks and Machine Learning – ICANN 2025: 34th International Conference on Artificial Neural Networks, Kaunas, Lithuania, September 9–12, 2025, Proceedings, Part IV (Lecture Notes in Computer Science #16071)
by Igor V. Tetko Marcello Sanguineti Yoshua Bengio Walter Senn Ausra Saudargiene Alessandro E. P. Villa Viktor JirsaThe four-volume set LNCS 16068-16071 constitutes the proceedings of the 34th International Conference on Artificial Neural Networks and Machine Learning, ICANN 2025, held in Kaunas, Lithuania, September 9–12, 2025.The 170 full papers and 8 abstracts included in these conference proceedings were carefully reviewed and selected from 375 submissions. The conference strongly values the synergy between theoretical progress and impactful real-world applications, and actively encourages contributions that demonstrate how artificial neural networks are being used to address pressing societal and technological challenges.
Arts-Based Research in Theatre and Performance
by Hannah FazioArts-based Research in Theatre and Performance provides a roadmap for conducting arts-based research. It offers a vibrant exploration of how ethnography, autoethnography, poetry, and fiction can be used successfully in research projects.This volume delves into a rich array of works from the theatre and performance canon, reframing them through the lens of arts-based research. Readers are introduced to the innovative methodologies and bold contributions of diverse artists and scholars, both contemporary and historical, who may help redefine how readers understand, document, and engage with performance as arts-based research. Each chapter walks the reader through practical exercises so they can develop their techniques and research projects.With reflections on professional and academic practice throughout, this is an accessible guide for students and practitioners wanting to conduct their own arts-based research in theatre, performance, drama therapy, drama education, applied theatre, and other similar fields.
ArtsIT, Interactivity and Game Creation: 13th EAI International Conference, ArtsIT 2024, Abu Dhabi, United Arab Emirates, November 13–15, 2024, Proceedings, Part II (Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering #651)
by Anthony L. Brooks Domna Banakou Slavica CeperkovicThis volume constitutes the proceedings of the 13th EAI International Conference on ArtsIT, Interactivity and Game Creation, ArtsIT 2024, in Abu Dhabi, United Arab Emirates, during November 13–15, 2024. The 38 full papers and 4 short papers were presented in this volume were carefully reviewed and selected from 112 submissions. The papers are thematically arranged in the following sections: Part I: Art & Games; Technical; Education, Co-Creativity in multi-modal interaction with generative AI. Part II: Amplifying Creativity: Exploring Digital Musical Interfaces; Illuminating Realities: Creating immersive spaces to promote mindfulness and wellbeing; Posters.
Aschengrau & Seage's Essentials of Epidemiology in Public Health
by Ann AschengrauSeamlessly blending theory and practice, Aschengrau & Seage’s Essentials of Epidemiology in Public Health presents both traditional and modern epidemiological concepts in a clear and accessible way. Broad in scope, the text opens with five chapters covering the basic epidemiologic concepts and data sources. A major emphasis is placed on study design, with separate chapters devoted to each of the three main analytic designs: experimental, cohort, and case-control studies. Full chapters on bias, confounding, and random error, including the role of statistics in epidemiology, ensure that students are well-equipped with the necessary information to interpret the results of epidemiologic studies. For the 5th edition, descriptive data and statistics have been updated throughout, most significantly in Chapters 4 (Sources of Public Health Data) and 5 (Descriptive Epidemiology). The latter chapter also includes a section on the leading causes of morbidity in the U.S. with a summary of COVID-19.
Ashwagandha: Potential Drug Candidate from Ancient Ayurvedic Remedy
by Dilip Ghosh and Benny AntonyFor over 3,000 years, ashwagandha has held a prominent place in Ayurveda and Unani, two of India’s ancient medicinal traditions. This revered herb, with its roots, leaves, and fruits, has been celebrated for its potent medicinal properties and adaptogenic benefits.This book is a comprehensive exploration of ashwagandha’s remarkable therapeutic potential. Drawing from centuries of traditional use and scientific advancements, it delves into the ethnopharmacology, botanical characteristics, phytochemicals, pharmacological activities, clinical trials, safety, toxicity, and formulations of this powerful herb. With growing recognition of ashwagandha as a candidate for drug development, this book critically examines its applications across diverse health domains, from neurological and reproductive health to cancer and arthritis management. It identifies research gaps that must be addressed to elevate ashwagandha to a fully commercialized, evidence-based medical intervention.Ashwagandha: Potential Drug Candidate from Ancient Ayurvedic Remedy provides insights for scientists, healthcare professionals, nutraceutical developers, and regulatory bodies. Whether seeking to develop innovative products, optimize fitness regimens, or craft informed nutritional plans, this book is the ultimate guide to harnessing the full potential of ashwagandha.
Asian Immigrant Teachers in Australia: Negotiating Identity, Navigating Adaptation, and the Paradoxes of Belonging (Routledge Research in Race and Ethnicity in Education)
by Sun Yee YipThe global movement of people and migration has led to increased mobility within the teaching profession. However, the prevailing expectations regarding the specific desired backgrounds, habitus, and pedagogical ideas of how a teacher should be, act, and understand their work have made the professional transition significantly challenging for immigrant teachers who do not fit into this frame.Drawing on international literature and valuable insights from Asian immigrant teachers in Australia, this book explores the personal, social, and contextual factors governing their professional transition experiences. It examines the diverse and intricate experiences of Asian immigrant teachers as they negotiate their identities, navigate adaptation, and cultivate a sense of belonging within the Australian education system.Set against the backdrop of an increasingly diverse student population and a critical shortage of teachers faced by many countries worldwide, this book offers a timely review of how we can harness the capabilities of the immigrant teacher workforce to meet diverse needs, improve school participation and well-being, and ensure equitable and inclusive education for all students. Readers are encouraged to disrupt existing narratives, interrogate current deficit views about immigrant teachers, and, in doing so, reconceptualise the immigrant professional transition from a new vantage point.
Assembling the Archipelago: Heritage in Energy Transitions and Climate Action (Routledge Environmental Humanities)
by Marilena MelaThis book explores the potential of heritage to enact sustainable human–environment relationships across geographical differences. It does so by travelling to four archipelagoes: the Wadden Islands in the Netherlands, the Cyclades in Greece, Shetland in Scotland, and the Aeolian Islands in Italy. In the face of planetary socioenvironmental crises, the reliance on sustainable development strategies, including the energy transition, on technocratic, top-down solutions fail to counterbalance global agendas of extraction and growth and address environmental injustices in "peripheral" places. This book stresses the need to "think small," arguing that seeds for meaningful change exist in such places and the geographically and historically situated relationships between people and environments. Islands, interconnected yet autonomous places with unique histories, are good places to start. In four archipelagoes, frictions produced both by climate change and climate mitigation ―the fragile consensus around a solar park in the Wadden Sea, conflicts around wind turbine towers in the Aegean, experiments with the tides in Shetland, and volcanic episodes in the Aeolian―come in dialogue with the learning potential of their environmental and cultural heritage. The counterposing of these stories renegotiates established discourses of heritage and sustainability and the associated courses of action in policy and planning.This contribution will resonate with academics, students, policymakers, and activists in heritage studies, environmental humanities, landscape studies, science and technology studies, and sustainability. Readers are invited to participate in the life and troubles of four island landscapes, and to think along on emergent, archipelagic claims towards sustainable and just futures.