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Books in Physical sciences and engineering

  • Motion Control of Soft Robots

    • 1st Edition
    • July 30, 2025
    • Wenyu Liang + 3 more
    • English
    Motion Control of Soft Robots provides an overview of the general concepts and most recent technological updates in soft robot motion control. The book provides systematic coverage of theoretical and practical aspects in system modeling and motion control strategies, presenting novel ideas, methods, and future outlook related to motion control of soft actuators and robots, including model-based control, model-free control, and bioinspired control. This book is useful for researchers, engineers, and students of robotics who can expect to learn how to design and implement various techniques to obtain solutions to control problems in soft robot control and nonlinear system control.

  • Ecology for the 21st century

    • 1st Edition
    • July 30, 2025
    • Orianna Carter
    • English
    Ecology for the 21st Century is a comprehensive, beginner-friendly, introductory textbook that provides students with an ecological perspective on our changing world. Suitable for both non-majors and majors-level ecology courses, this textbook presents clear and wide ranging coverage, including many current examples and topics. Applying a student-centric approach with dynamic examples and case studies, the book's ecological principles emerge through topics students care to learn more about. The ‘twin-evils’ of atmospheric carbon and ocean acidification are explored through investigations on the health of coral reef ecosystems.In addition, populations and species dynamics are introduced using classical modeling parameters. This textbook drives home the delicate balance of the natural world through regional issues surrounding endangered versus invasive species. Themes of resource acquisition, adaptation, and evolution of species are reinforced throughout, encouraging students to envision an ecologically driven world.

  • Quantum Health AI

    The Revolution of Medicine, Public Health, and Global Health by Quantum Computing-Powered Artificial Intelligence
    • 1st Edition
    • July 30, 2025
    • Dominique J. Monlezun
    • English
    Quantum Health AI: The Revolution of Medicine, Public Health, and Global Health is the first comprehensive book defining the transformation of the global health ecosystem by the fusion of our most powerful technologies—quantum computing and artificial intelligence—while defending an actionable human-centred approach to doing so responsibly, equitably, and sustainably. We can continue to watch wars, diseases, poverty, polarization, cyber-crime, and climate change only worsen. Our strongest technologies can remain centralized in a small number of companies and countries for their profit and power. Or we can cooperatively put quantum AI to work for the health of all of us, by better managing this technology’s overarching strategic competition between democracies and autocracies, along with the public and private sectors (balancing human security with national security, economic growth with household livelihoods, individual rights with the common good). This book draws on the decade plus of original research and first-hand perspective of the world’s first triple doctorate-trained physician-data scientist and AI ethicist. It unpacks the history, science, values, and political economics framing and driving quantum AI (including its physics, metaphysics, ethics, governance, computing, sensing, communication, materials, and security), the global health ecosystem (healthcare systems, public health agencies, biotechnology companies, and development institutions), and their growing integration, wins, and challenges. This one-stop book provides a global, inclusive, and practical guide for understanding and shaping these societal and technological trends. It thus empowers health, technology, and policy students, practitioners, professionals, researchers, and leaders in organizations, universities, companies, and governments—ultimate... to make and maintain the human-centred quantum AI safeguarding and advancing humanity’s health, home, and future.

  • Data Science for Teams

    20 Lessons from the Fieldwork
    • 1st Edition
    • July 30, 2025
    • Harris V. Georgiou
    • English
    Managing human resources, time allocation, and risk management in R&D projects, particularly in Artificial Intelligence/Machine Learning/Data Analysis, poses unique challenges. Key areas such as model design, experimental planning, system integration, and evaluation protocols require specialized attention. In most cases, the research tends to focus primarily on one of the two main aspects: either the technical aspect of AI/ML/DA or the teams’ effort, or the typical management aspect and team members’ roles in such a project. Both are equally import for successful real-world R&D, but they are rarely examined together and tightly correlated. Data Science for Teams: 20 Lessons from the Fieldwork addresses the issue of how to deal with all these aspects within the context of real-world R&D projects, which are a distinct class of their own. The book shows the everyday effort within the team, and the adhesive substance in between that makes everything work. The core material in this book is organized over four main Parts with five Lessons each. Author Harris Georgiou goes into the difficulties progressively and dives into the challenges one step at a time, using a typical timeline profile of an R&D project as a loose template. From the formation of a team to the delivery of final results, whether it is a feasibility study or an integrated system, the content of each Lesson revisits hints, ideas and events from real-world projects in these fields, ranging from medical diagnostics and big data analytics to air traffic control and industrial process optimization. The scope of DA and ML is the underlying context for all, but most importantly the main focus is the team: how its work is organized, executed, adjusted, and optimized. Data Science for Teams presents a parallel narrative journey, with an imaginary team and project assignment as an example, running an R&D project from day one to its finish line. Every Lesson is explained and demonstrated within the team narrative, including personal hints and paradigms from real-world projects.

  • Microgrid Technology and Microgrid Cluster Development

    • 1st Edition
    • July 25, 2025
    • Baseem Khan + 2 more
    • English
    Microgrid Technology and Microgrid Cluster Development is a comprehensive guide to microgrid systems fundamentals, optimization, control, protection, and energy management.The book explains microgrid architectures that might be combined to create a cluster of microgrids. This is a valuable resource for all those looking to gain a complete understanding of current microgrid and cluster technology, including students, researchers, faculty, R&D professionals, engineers, and other industry personnel with an interest in grid integration, power systems, and renewable energy.The microgrid is first defined as a standalone entity with potential interconnections with external grids. Then, the layout, line technology, and interface technology of potential microgrid cluster topologies are designed, with comparison and analysis of the various microgrid and cluster designs in terms of price, scalability, security, dependability, stability, communications, and business models. Key aspects are covered in detail, including optimization algorithms and the role of machine learning and artificial neural networks, control and protection techniques, and energy management and storage.

  • Theoretical Foundations of Quantum Computing

    • 1st Edition
    • July 25, 2025
    • Daowen Qiu
    • English
    Theoretical Foundations of Quantum Computing is an essential textbook for introductory courses in the quantum computing discipline. Quantum computing represents a paradigm shift in understanding computation. This textbook delves into the principles of quantum mechanics that underpin this revolutionary technology, making it invaluable for undergraduate and graduate students in computer science and related fields. Structured into eight meticulously crafted chapters, it covers everything from the historical context of quantum computing to advanced theories and applications. The book includes core topics such as basic models, quantum algorithms, cryptography, communication protocols, complexity, and error correction codes.Each chapter builds upon the last, ensuring a robust understanding of foundational concepts and cutting-edge research. It serves as both a foundational resource for students and a comprehensive guide for researchers interested in quantum computing. Its clarity makes it an excellent reference for deepening understanding or engaging in advanced research.

  • Computational Biomechanics of Human Joints

    • 1st Edition
    • July 25, 2025
    • Abdelwahed Barkaoui + 2 more
    • English
    Computational Biomechanics of Human Joints delves into the intricate details of each joint, exploring anatomical, mechanical, pathological, and therapeutic aspects. The book offers a comprehensive understanding of joint biomechanics by dedicating each chapter to specific joints, detailing their anatomical structure, biomechanical mechanisms, associated diseases, and pathologies. It also covers treatments, surgical interventions, and imaging-based modeling alongside numerical simulation techniques using the finite element method. This approach provides readers with an innovative perspective on the technological advancements in joint biomechanics. In addition to exploring joint-specific details, the book discusses the advantages and limitations of modern techniques.Finally, the book emphasizes the potential for these methods to improve clinical decision-making, optimize personalized treatments, and design medical devices. The integration of advanced modeling and simulation techniques enhances the understanding of the complex mechanisms of joints, contributing significantly to both academic research and practical clinical applications.

  • Handbook of Offshore Oil and Gas Operations

    Methods, Technologies, and Environmental Impacts
    • 2nd Edition
    • July 25, 2025
    • James G. Speight
    • English
    The Handbook of Offshore Oil and Gas Operations: Methods, Technologies, and Environmental Impacts, 2nd Ed. offers a comprehensive overview of offshore energy extraction. This updated and expanded edition highlights the latest scientific advancements, technological innovations, safety protocols, and environmental considerations shaping current offshore practices. Covering foundational topics like geology, resource formation, exploration, drilling, and production, it emphasizes environmentally responsible operations and sustainable development strategies to support the reduction of carbon emissions.Authored by an industry expert, this reference explores the occurrence and formation of oil and gas, offshore geology, exploration techniques, platform types, and production methods, with insights into environmental impact mitigation. The final chapters address critical issues such as corrosion, oil spill response, legal regulations, and future industry trends. Notably, this edition introduces new chapters on oil spills and cleanup methods that bolster health, safety, and environmental (HSE) initiatives while promoting sustainability. Additionally, multiple chapters examine how offshore operations can help reduce carbon emissions, aligning industry practices with global climate goals. Rich with real-world case studies and current technical data, the book provides a thorough understanding of the entire offshore lifecycle.Designed for engineers, geologists, environmental scientists, safety managers, policymakers, and students, The Handbook of Offshore Oil and Gas Operations: 2nd Ed. equips readers with the knowledge to navigate emerging technologies, legal frameworks, and environmental challenges, making it an indispensable reference for industry professionals, students, and researchers alike.

  • MATLAB Scientific Plotting and Data Analysis

    • 1st Edition
    • July 25, 2025
    • Jinbin Ding
    • English
    MATLAB Scientific Plotting and Data Analysis combines the author's extensive experience in data analysis and scientific plotting to provide detailed explanations of the methods and techniques for using MATLAB. The book is divided into three parts, consisting of 12 chapters. The first part covers the basics of MATLAB, including the operating environment, data types and basic operations, file operations, and programming. The second part focuses on MATLAB's data visualization capabilities, with topics such as figure window information, 2D plotting, 3D plotting, specialized plotting, and handle graphics objects.The third part covers descriptive data analysis, interpolation and fitting, regression analysis, and optimization problem solving. Furthermore, this book provides links to over 200 examples of teaching videos and hands-on exercise resource files, enhancing readers' learning efficiency.

  • Sustainable Nanomaterials

    • 1st Edition
    • July 25, 2025
    • Manviri Rani + 1 more
    • English
    Sustainable Nanomaterials provides core and advanced information about various sustainable nanomaterials and their synthetic approaches to natural and renewable resources. It summarizes various regulatory initiatives for ensuring sustainability goals and legal aspects of sustainable nanomaterials.This book also addresses potential nanomaterial risks and concludes that green nanotechnology is a concept that needs to be embedded and promoted in regulatory and voluntary initiatives to ensure nanotechnology’s sustainable development.This is a useful resource for advanced students, as well as environmental engineers, researchers, and the environmental industry.

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