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Books in Physical sciences and engineering

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    • Quantum Health AI

      • 1st Edition
      • July 30, 2025
      • Dominique J. Monlezun
      • English
      • Paperback
        9 7 8 0 4 4 3 3 3 3 5 3 8
      • eBook
        9 7 8 0 4 4 3 3 3 3 5 4 5
      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.

    • Drug Discovery and One Health Approach in Combating Infectious Diseases

      • 1st Edition
      • August 4, 2025
      • Kanti Bhooshan Pandey + 2 more
      • English
      • Paperback
        9 7 8 0 4 4 3 2 7 4 6 1 9
      • eBook
        9 7 8 0 4 4 3 2 7 4 6 2 6
      Drug Discovery and One Health Approach in Combating Infectious Diseases: A Multi-sectoral Approach to address Infections explores the intersection of drug discovery and the One Health Approach, along with the effectiveness of interdisciplinary approaches to combating infectious diseases. The book covers both holistic and innovative drug discovery methodologies and technologies such as natural compounds, harnessing genomics, proteomics, and nanotechnology. Additionally, the book reviews zoonotic diseases, vaccine development, ethical considerations, and regulatory pathways. Practice case studies demonstrate successful One Health and interdisciplinary initiatives to combating infectious disease.This catalogue of knowledge provides a toolbox of innovative and interdisciplinary solutions of complex issues in drug discovery and infectious disease. It will be a valuable resource to professionals and researchers working in the fields of biomedical sciences, pharmaceutical sciences, infectious disease research, and public health, as well as those engaged in drug discovery, development, and the management of infectious diseases.

    • Spatial Autocorrelation

      • 1st Edition
      • August 1, 2025
      • Daniel Griffith + 1 more
      • English
      • Paperback
        9 7 8 0 4 4 3 4 1 7 4 3 6
      • eBook
        9 7 8 0 4 4 3 4 1 7 4 4 3
      Spatial Autocorrelation: A Fundamental Property of Geospatial Phenomena offers a state-of-the-art exploration of one of the most pivotal spatial analysis concepts. Beginning with foundational theories and clear definitions, it sets out the concepts and basic theory of spatial autocorrelation through elaborated conceptualizations and practical examples. In-depth case studies reveal the pervasive influence of spatial patterns in scientific inquiry while anticipating emerging research and innovative techniques. It offers practical methods for quantifying spatial autocorrelation, complete with step-by-step instructions and real-world examples.Spatial Autocorrelation equips graduate students, researchers, and professionals with the knowledge and tools to confidently comprehend, navigate, and apply spatial analysis in their respective domains, making it an ideal companion for technical reference books, and a vital addition to the libraries of any discipline utilizing spatial analysis.

    • Eukaryotic Microorganisms as Sources of Bioproducts

      • 2nd Edition
      • August 27, 2025
      • Cristina Gonzalez-Fernandez + 1 more
      • English
      • Paperback
        9 7 8 0 4 4 3 3 0 1 8 8 9
      • eBook
        9 7 8 0 4 4 3 3 0 1 8 9 6
      Eukaryotic Microorganisms as Sources of Bioproducts: From Microalgae and Yeast Cultivation to End-Products, Second Edition examines the cultivation and utilization of microalgae biomass for sustainable fuels and chemicals, bringing together the expertise of authors from different areas and backgrounds. In addition to extensive updates to the first edition, this new edition includes new chapters on yeast, addressing the many challenges with developing novel yeast technology cell factories and bioprocesses. With a strong focus in emerging industrial and large-scale applications, the book summarizes the new achievements in recent years.It includes information on microalgae and yeast cultivation, harvesting, and conversion processes for the production of liquid and gaseous biofuels, such as biogas, bioethanol, biodiesel and biohydrogen. Microalgae biorefinery and biotechnology applications, including in pharmaceuticals, as food and feed, and value added bioproducts are also covered. The comprehensive scope makes it an ideal textbook for graduate and post-graduate courses in algal/yeast biotechnology, while its invaluable insights and guidance on the design of photobioreactors for microalgae mass cultivation and optimization of process strategies for yeast bioproduction will serve as a reference manual professionals and engineers.

    • Theoretical Foundations of Quantum Computing

      • 1st Edition
      • July 25, 2025
      • Daowen Qiu
      • English
      • Paperback
        9 7 8 0 4 4 3 2 7 7 0 4 7
      • eBook
        9 7 8 0 4 4 3 2 7 7 0 5 4
      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.

    • Mastering Prompt Engineering

      • 1st Edition
      • July 13, 2025
      • Anand Nayyar + 2 more
      • English
      • Paperback
        9 7 8 0 4 4 3 3 3 9 0 4 2
      • eBook
        9 7 8 0 4 4 3 3 3 9 0 5 9
      Mastering Prompt Engineering: Deep Insights for Optimizing Large Language Models (LLMs) is a comprehensive guide that takes readers on a journey through the world of Large Language Models (LLMs) and prompt engineering. Covering foundational concepts, advanced techniques, ethical considerations, and real-world case studies, this book equips both novices and experts to navigate the complex LLM landscape. It provides insights into LLM architecture, training, and prompt engineering methods, while addressing ethical concerns such as bias and privacy. Real-world case studies showcase the practical application of prompt engineering in a wide range of settings. This resource is not just for specialists but is a practical and ethically conscious guide for AI practitioners, students, scientific researchers, and anyone interested in harnessing the potential of LLMs in natural language processing and generation. Mastering Prompt Engineering serves as a gateway to a deeper understanding of LLMs and their responsible and effective utilization through its comprehensive, ethical, and practical approach.

    • Deep Learning

      • 1st Edition
      • July 25, 2025
      • Shuhao Wang + 1 more
      • English
      • Paperback
        9 7 8 0 4 4 3 4 3 9 5 4 4
      • eBook
        9 7 8 0 4 4 3 4 3 9 5 5 1
      Deep Learning: From Algorithmic Essence to Industrial Practice introduces the fundamental theories of deep learning, engineering practices, and their deployment and application in the industry. This book provides a detailed explanation of classic convolutional neural networks, recurrent neural networks, and transformer networks based on self-attention mechanisms, along with their variants, combining code demonstrations. Additionally, this book covers the applications of these models in areas including image classification, object detection, and semantic segmentation. This book also considers advancements in deep reinforcement learning and generative adversarial networks making it suitable for graduate and senior undergraduate students with backgrounds in computer science, automation, electronics, communications, mathematics, and physics, as well as professional technical personnel who wish to work or are preparing to transition into the field of artificial intelligenceThe code for book may be accessed by visiting the companion website: https://www.elsevier...

    • Vertebrate Ichnology

      • 1st Edition
      • August 11, 2025
      • Spencer G Lucas + 2 more
      • English
      • Paperback
        9 7 8 0 4 4 3 3 8 3 5 1 9
      • eBook
        9 7 8 0 4 4 3 3 8 3 5 2 6
      Vertebrate Ichnology: Fish Ichnology, Consumption, Burrows and Reproduction, Geoconservation is a comprehensive and meticulously researched review and analysis of the entire vertebrate trace fossil record, shedding light on lesser-known vertebrate traces beyond footprints. From vertebrate burrows to the ichnology of reproduction, each chapter provides valuable insights and up-to-date information. The book explores a wide range of topics, including consumption through coprolites, dentalites, regurgitalites, and other trace fossils that are evidence of vertebrate predation and consumption.This authoritative reference provides students, researchers, and professionals in the field of Earth and Planetary sciences with updated information on the geological heritage of vertebrate ichnosites and their importance in geoconservation efforts.

    • Analysis of Chiral Pollutants in the Environment: Fundamentals, Techniques and Applications

      • 1st Edition
      • Volume 111
      • July 10, 2025
      • English
      • Hardback
        9 7 8 0 4 4 3 3 4 5 8 1 4
      • eBook
        9 7 8 0 4 4 3 3 4 5 8 2 1
      Analysis of Chiral Pollutants in the Environment: Fundamentals, Techniques and Applications, Volume 111 provides in-depth information on a variety of chiral pollutants. Chapters in this new release include Fundamentals of chirality. Enantioselective behavior and ecotoxicity of environmental chiral pollutants, Chiral pharmaceuticals in environmental samples, An overview of the enantioselective determination of pesticides in environmental samples, An overview of the enantioselective determination of illicit drugs in environmental samples, Recent progress in the analysis of isomers and enantiomers of per- and polyfluoroalkyl substances in environmental and biological samples, An overview of the enantioselective determination of polychlorinated biphenyls in environmental samples, and much more.Additional chapters cover an overview of the enantioselective determination of musk fragrances in environmental samples, Supercritical fluid chromatography with mass spectrometry for the determination of chiral pollutants, Multidimensional chromatography. A powerful technique in analysis of chiral agrochemicals in environment, Capillary electrophoresis for the determination of chiral pollutants, Indirect chromatographic approach for enantioselective analysis of chiral environmental pollutants, Chiral pesticide fate in soils: processes, experimental considerations, and case studies, and many more interesting topics.

    • Data Science for Teams

      • 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.

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