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    • Handbook of Melatonin-Based Therapy and its Applications

      • 1st Edition
      • October 1, 2025
      • Alejandro Romero Martínez + 2 more
      • English
      • Paperback
        9 7 8 0 4 4 3 3 0 2 4 0 4
      • eBook
        9 7 8 0 4 4 3 3 0 2 4 1 1
      Handbook of Melatonin-Based Therapy and its Applications provides pharmaceutical researchers and health professionals with a comprehensive reference on the applications of melatonin in the therapeutic setting. Succinct, meticulously organized, and expertly written, this book addresses all essential aspects. It starts with an overview of safe use of melatonin, translational aspects, and its prospection. The next section of the book covers a variety of clinical applications, including dosage, pharmacokinetics and pharmacodynamic profiles, toxicity, and principles of action. The chapters in this section cover applications to both adults and pediatric patients suffering from conditions like skin cancers, GI issues, psychiatric, hepatic and ocular conditions.This is a comprehensive resource for pharmaceutical scientists and health professionals involved in developing therapies and applying them to patients. Researchers in the fields of medicine, biology, neuroscience, and pharmacology conducting studies related to melatonin-based will benefit from insights into the latest research findings, clinical trials, and therapeutic approaches.

    • Ovarian Cancer

      • 1st Edition
      • October 1, 2025
      • Bhupendra G. Prajapati + 2 more
      • English
      • Paperback
        9 7 8 0 4 4 3 3 3 5 3 6 5
      • eBook
        9 7 8 0 4 4 3 3 3 5 3 7 2
      By providing a comprehensive overview of current research findings, emerging therapies, and clinical practices, Ovarian Cancer: Disease, Diagnosis and Treatment is an invaluable resource. It will not only enhance the understanding of ovarian cancer's complex biology among professionals but also guide them in applying this knowledge to improve patient outcomes The book delivers the key knowledge and information needs faced by the audience center around understanding the latest advances in the underlying pathogenesis and treatment of ovarian cancer. This encompasses a broad spectrum of requirements, from grasping the molecular and genetic factors driving ovarian cancer development to staying updated on the latest therapeutic strategies, including targeted therapies and immunotherapies. In 19 chapters Ovarian Cancer: Disease, Diagnosis and Treatment gives a timely and comprehensive coverage of advances in ovarian cancer therapy, particularly highlighting the development and utilization of Nanotheranostics technologies. This focus not only addresses a crucial and cutting-edge area of cancer treatment but also positions the book as a forward- thinking resource that delves into the potential of Nanotheranostics to revolutionize cancer diagnostics and therapy.Ovarian Cancer: Disease, Diagnosis and Treatment targets a specialized audience within the medical and scientific community, focusing on obstetricians and gynecologists, oncologists, cancer researchers, and importantly, patients with ovarian cancer. This audience selection underscores the project's dual aim of advancing scientific knowledge and directly benefiting patient care in the realm of ovarian cancer, bridging the gap between research, clinical application, and patient advocacy.

    • Theranostics in Cancer Management

      • 1st Edition
      • October 1, 2025
      • Kuttiappan Anitha + 2 more
      • English
      • Paperback
        9 7 8 0 4 4 3 3 4 1 9 9 1
      • eBook
        9 7 8 0 4 4 3 3 4 2 0 0 4
      Theranostics in Cancer Management: Integrating Diagnostics and Therapeutic Strategies introduces a transformative paradigm in clinical oncology, heralding a new era of precision and personalized cancer care. This comprehensive guide empowers clinicians by seamlessly integrating advanced diagnostics with targeted therapeutic approaches. The book provides an extensive exploration of theranostics across diverse clinical scenarios, ensuring that healthcare professionals are equipped with the knowledge to navigate the complexities of cancer management effectively. Beyond the introductory insights, the book delves into several types of cancer and the utilization of Artificial Intelligence in cancer detection tools.Comprising 15 chapters, it offers an invaluable resource for health professionals, scientists, researchers, practitioners, and students who seek to expand their understanding in this evolving field. The emphasis on practical applications and emerging technologies makes it a timely addition to the field of oncology.

    • Agricultural Insights from Space

      • 1st Edition
      • October 1, 2025
      • Dharmendra Singh + 2 more
      • English
      • Paperback
        9 7 8 0 4 4 3 3 4 1 1 3 7
      • eBook
        9 7 8 0 4 4 3 3 4 1 1 4 4
      Agricultural Insights from Space: Machine Learning Applications in Satellite Data Analysis seamlessly integrates theoretical knowledge with practical applications, presenting cutting-edge research alongside real-world examples. This book leverages geospatial technology and Artificial Intelligence to address various challenges in agriculture. Readers will find practical examples and case studies demonstrating how machine learning and deep learning techniques can extract valuable insights from remote sensing data, optimizing agricultural processes. Highlighting the significance of satellite data, the book explores the benefits of leveraging space-based information for enhancing agricultural practices.The book emphasizes the importance of geospatial intelligence and AI technologies in monitoring and managing agricultural activities. It inspires readers to envision a future where these innovative approaches lead to more productive agricultural environments and healthier growth for future generations.

    • AI Technologies for Crop Breeding

      • 1st Edition
      • October 1, 2025
      • Jen-Tsung Chen
      • English
      • Paperback
        9 7 8 0 4 4 3 3 3 6 3 3 1
      • eBook
        9 7 8 0 4 4 3 3 3 6 3 4 8
      AI Technologies for Crop Breeding offers the latest insights into the use of artificial intelligence models to improve plant health and production. Presenting applications of AI technologies in plant biology, biotechnology, and crop breeding, it explores practices for the mitigation of biotic and abiotic stressors as well as other plant growth challenges.AI-based technologies are expected to advance approaches to plant functional genomics and multiple omics, resulting in smarter and more efficient crop breeding for next-generation agriculture helping to address the challenges of the increasing human population and the globally changing climate. AI tools such as machine learning, particularly deep learning, have been applied to predict chief players in complicated biological networks, increasing the understanding of in-depth mechanisms of plant-pathogen and plant-environment interactions. Additionally, responses of plants facing stress can be modeled using AI technologies, and the resulting data are valuable not only to plant stress physiology but also for stress-resilient and disease-resistant crop breeding.This book introduces AI technologies for studying plant biology, focusing on machine learning and deep learning models for integrating multiple omics approaches and revealing the knowledge of plant functional genomes. Technological advancements and emerging applications of machine learning and deep learning in genomic selection, genome-wide association study (GWAS), phenotyping and constructing phenomics, and transcriptomics are also featured in this book.AI Technologies for Crop Breeding is an ideal reference for researchers, academics, and advanced-level students and professors in the fields of plant sciences, plant stress physiology, bioinformatics, systems biology, and crop breeding.

    • Non-Terrestrial Networks

      • 1st Edition
      • October 1, 2025
      • Muhammad Zeeshan Shakir + 1 more
      • English
      • Paperback
        9 7 8 0 4 4 3 2 6 5 2 6 6
      • eBook
        9 7 8 0 4 4 3 2 6 5 2 7 3
      Non-Terrestrial Networks: Paving the Way Towards Global Connectivity presents technologies that are important for NTNs - from LEO satellite communication, unmanned aerial vehicles (UAVs)/flying platforms assisted wireless networking, the use of machine learning, edge computing, reconfigurable intelligent surfaces, multiple access, wireless backhaul/fronthaul, integrated access and backhaul, integrated sensing and communications, and high frequency channel modeling such as terahertz, sub-terahertz, and millimeter wave. These technologies are essential in providing a paradigm shift from current wireless standards and will usher in the development of exciting new vertical frameworks.This book gives students and researchers in academia an understanding of the fundamentals, technologies, systems and techniques for the next generation NTNS. In addition, it gives industry engineers insights into interdisciplinary findings on many open issues and trends in NTN standardization.

    • Future Fat Alternatives

      • 1st Edition
      • October 1, 2025
      • Zong Meng
      • English
      • Paperback
        9 7 8 0 4 4 3 2 9 0 7 1 8
      • eBook
        9 7 8 0 4 4 3 2 9 0 7 3 2
      Future Fat Alternatives: Concepts, Structuring and Food Applications provides a deep dive into the strategies for the development of fat alternatives for food applications, covering all structuring strategies including oleogels, emulsion gels, and foamed gels as well as cell-cultured fats. In addition, this book details other applications such as additive manufacturing and fat alternatives in different food applications and discusses their nutritional benefits. Divided into eight sections, this book begins with an overview of the structural-propertie... relationship in traditional fats, then segues into the benefits and challenges of fat alternatives, the prospects and challenges of cell-cultured fats, the additive manufacturing of fat analogues and how they pave the way toward novel food development. The applications of different fat alternatives and their nutritional benefits in bakery, meat, chocolate, and cheese products as well as nutraceutical delivery systems are also discussed.This book presents an excellent resource for researchers working across the food sciences in the fields of oil and fat production, research and development, sensory analysis, and technology and engineering.

    • Advanced Cancer Research Protocols

      • 1st Edition
      • Volume 198
      • October 1, 2025
      • English
      • Hardback
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      • eBook
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      Advanced Cancer Research Protocols, Volume 198 is a comprehensive and cutting-edge resource dedicated to the latest methodologies and protocols in the field of cancer research. Topics in this new release include Introduction to Cancer Biology and Current Research Trends, Cell Culture Techniques for Cancer Research, Practical Approaches to Advanced Molecular Biology Techniques, High-throughput sequencing Technologies for Cancer Genomics, Epigenetic Analysis in Cancer Research, Proteomics and Metabolomics in Cancer Biomarker Discovery, In vivo Cancer Modeling Using Mouse Models, and much more.Other sections highlight advances in Advanced Imaging Techniques for Cancer Research, Cancer Stem Cell Analysis and Targeting, Immunotherapy and Cancer Vaccine Development, Gene Editing Techniques in Cancer Research, Single-Cell Analysis in Cancer Research, Liquid Biopsy and Circulating Tumor Cell Analysis, and Exploring the Tumor Microenvironment in Solid Cancer: From Biology to Therapy.

    • Artificial Metalloproteins

      • 1st Edition
      • Volume 720
      • October 1, 2025
      • English
      • Hardback
        9 7 8 0 4 4 3 4 1 5 7 3 9
      • eBook
        9 7 8 0 4 4 3 4 1 5 7 4 6
      Artificial Metalloproteins covers artificial metalloproteins (ArMs) and how they have emerged as powerful vehicles with which to control, implement, and leverage the unique reactivity and spectroscopic properties of their bound metal ions. Chapters in this release include Incorporating Non-Native Cofactors into Heme Proteins, Designing 4-Helix Bundles to Bind Porphyrin/Porphyrin-... Cofactors, Cobalt-Substituted Hemoprotein Expression, Rationally designed directed evolution of cytochrome P450 enzymes, De novo design of a switchable a-helical hemoprotein, Primary Coordination Sphere Part B: Unnatural Metal-Binding Sites Beyond the Heme, and more.Other sections cover Unnatural Amino Acid Incorporation for Creating Artificial Metalloenzymes, Development of a PQQ-Dependent Artificial Metalloprotein, Evolutionary Engineering of a Rhodium Complex-Linked Artificial Metalloenzyme, Design and Application of Nonheme Iron Enzymes, Part C: Secondary Sphere Modulation for Metallocofactor Activation, Designing Artificial Metalloenzymes by Engineering the Primary and Secondary Coordination Sphere in Native Protein Scaffolds, and much more.

    • Machine Learning Solutions for Inverse Problems: Part A

      • 1st Edition
      • Volume 26
      • October 1, 2025
      • English
      • Hardback
        9 7 8 0 4 4 3 4 1 7 8 9 4
      • eBook
        9 7 8 0 4 4 3 4 1 7 9 0 0
      Machine Learning Solutions for Inverse Problems: Part A, Volume 26 in the Handbook of Numerical Analysis, highlights new advances in the field, with this new volume presenting interesting chapters on a variety of timely topics, including Data-Driven Approaches for Generalized Lasso Problems, Implicit Regularization of the Deep Inverse Prior via (Inertial) Gradient Flow, Generalized Hardness of Approximation, Hallucinations, and Trustworthiness in Machine Learning for Inverse Problems, Energy-Based Models for Inverse Imaging Problems, Regularization Theory of Stochastic Iterative Methods for Solving Inverse Problems, and more.Other sections cover Advances in Identifying Differential Equations from Noisy Data Observations, The Complete Electrode Model for Electrical Impedance Tomography: A Comparative Study of Deep Learning and Analytical Methods, Learned Iterative Schemes: Neural Network Architectures for Operator Learning, Jacobian-Free Backpropagation for Unfolded Schemes with Convergence Guarantees, and Operator Learning Meets Inverse Problems: A Probabilistic Perspective

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