Genetic Diversity of Coronaviruses: From SARSCoV to SARS-CoV-2 - (Part 1) provides a comprehensive analysis of the genetic mutations and host interactions across three major coronaviruses-SARS-CoV, MERS-CoV, and SARS-CoV-2. This volume explores the evolutionary history, mutations, and emerging variants of these viruses, with a focus on understanding how they adapt to different hosts. The book is organized into three parts: Part I covers SARS-CoV, detailing its genetic mutations, host genetic diversity, and new variants. Part II focuses on MERS-CoV, offering insights into mutations and host adaptations. Part III addresses SARS-CoV-2, discussing its evolving variants and the role of host proteins. The book also discusses the connections between coronaviruses and neurological, epigenetic, and AI-related issues Key Features: - In-depth analysis of genetic mutations in coronaviruses - Exploration of host genetic diversity and virus adaptation - Insight into emerging variants of SARS-CoV, MERS-CoV, and SARS-CoV-2 - Examination of host proteins' role in viral infections - Discussion on the impact of AI and epigenetics on coronavirus research.

Positioned at the crossroads of genomics, proteomics, artificial intelligence, and biomedical engineering, this book provides a roadmap for leveraging computational intelligence to address the complex challenges of modern life sciences, healthcare, and industrial biotechnology. Across twelve comprehensive chapters, the book lays the foundations for sequencing technologies, omics data, and the principles of biotechnology data management. It then transitions into the application of machine learning models ranging from neural networks to optimization frameworks to extract meaningful insights from large-scale biological datasets. Subsequently it addresses pressing challenges such as data noise, scalability, and ethical AI, while also highlighting algorithmic breakthroughs in pharmacogenomics, drug discovery, precision medicine, and synthetic biology. Case studies illustrate real-world applications, from CRISPR diagnostics and clinical trial optimization to agricultural genomics and biomedical engineering innovations. The closing chapters project the future trajectory of biotechnology, exploring quantum computing, federated learning, and secure data-sharing techniques. Key Features: Uncovers the revolutionary role of computational algorithms in biotechnology research and healthcare Explores the integration of AI, ML, and optimization methods in genomics, proteomics, and systems biology Analyzes real-world applications through case studies in pharmacogenomics, CRISPR, and agritech Provides practical insights into implementing secure, scalable, and ethical data solutions Gives an understanding future trends such as quantum computing and federated learning in biotech innovation.

With pesticide overuse threatening ecosystems, food safety, and human health,Biological Control for Plant Protection: Recent Advances in Research and Sustainability addresses one of the most pressing challenges in modern agriculture, enhancing crop productivity while reducing reliance on chemical pesticides. Integrating scientific advances with practical strategies to support integrated pest, weed, and disease management systems, the book brings together contributions from leading researchers and academicians providing an up-to-date compilation of topics ranging from isolation, characterization, and mass rearing of natural enemies to the field application of botanicals and biological methods for biotic stress management in plants. Key Features: Explores cutting-edge biological control methods for pests, pathogens, and weeds. Highlights environmentally sustainable alternatives to chemical pesticides. Covers natural enemies, botanicals, and biofertilizers as components of integrated management. Presents case studies and research from diverse agroecosystems, including organic farming. Provides a comprehensive reference for researchers, practitioners, and policymakers.

Microbial Insights into Wastewater Treatment and Environmental Sustainability examines the way microorganisms are reshaping the way we tackle environmental challenges, offering practical and science-driven strategies for wastewater remediation, pollution control, and resource recovery. Integrating microbiology, environmental science, and biotechnology, this volume reveals how microbial processes underpin sustainable solutions for ecosystem restoration and global environmental health. The book begins with foundational concepts, such as the microbial ecology of polluted sites and mechanisms of pollutant sequestration, to specialized topics including arsenic bioremediation, microbe-driven green nanotechnology, and biocontrol innovations. It further investigates plant-microbe partnerships that enhance environmental resilience, and explores cutting-edge molecular and biosensing techniques for real-time environmental monitoring. Case studies highlight the transition from laboratory research to field-scale applications, while forward-looking sections consider microbial nanotechnology for sustainable energy generation and microbial strategies for waste valorization. Key Features: Explains microbial roles in pollution mitigation and environmental recovery Demonstrates sequestration, bioremediation, and nanotechnology-based microbial innovations Integrates molecular tools and biosensors for environmental health assessment Applies microbial strategies to wastewater treatment, energy production, and waste management Highlights real-world case studies linking theory to practice Incorporates multidisciplinary insights from global research contributors Advances sustainable development through microbial resource recovery.

Advanced Liposome Technologies is a practical and research-focused overview of liposome-based systems and their expanding role in modern drug delivery, diagnostics, and therapeutics. Beginning with foundational principles, the book explains liposome structure, behaviour, and formulation approaches, followed by detailed discussions on preparation techniques, characterisation methods, and mechanistic pathways that govern liposomal performance. With special emphasis on stability enhancement, controlled release mechanisms, surface modification, and emerging innovations such as stimuli-responsive liposomes and multifunctional nanocarriers, chapters explore applications across oncology, infectious diseases, vaccine development, gene delivery, and targeted therapy Key Features Explains key preparation and characterisation techniques for diverse liposomal formulations Details the mechanisms of drug encapsulation, release, and targeting Showcases therapeutic and diagnostic applications across multiple disease areas Highlights advances in surface engineering and smart, stimuli-responsive liposomes Presents real-world case studies and current research trends

Cell Biology: Basics to Breakthroughs provides an in-depth and integrative journey through cellular structure, function, and regulation, spanning classical foundations to cutting-edge scientific advancements. Beginning with fundamental principles of cell organization, gene expression, signaling pathways, and organelle dynamics, the book gradually transitions into advanced domains such as stem cell biology, cancer cell signaling, molecular imaging, and therapeutic innovations. Written by domain experts, each chapter blends established concepts with modern discoveries, offering readers a holistic understanding of how cells operate, adapt, communicate, and contribute to human health and disease. Illustrations, tables, and updated references support clarity, while translational insights demonstrate how cellular research drives breakthroughs in diagnostics, therapeutics, and biotechnology. Key Features Explains core principles of cell structure, function, and molecular regulation with clarity and precision. Integrates classical concepts with cutting-edge topics including stem cells, cancer biology, and molecular imaging. Illustrates complex mechanisms through diagrams, tables, and visual aids for enhanced comprehension. Highlights translational perspectives linking cellular processes to disease mechanisms and therapeutic advances.

<div>Agriculture is rapidly evolving with smart technologies that make farming more efficient, secure, and sustainable. Smart Technologies for Next-Generation Agriculture breaks down how Deep Learning, IoT, and Blockchain are revolutionising crop care, livestock husbandry, yield prediction, and farm security through applied research and real-world use cases.</div><div><br></div><div>The book also highlights challenges like data safety, environmental risks, and ethical concerns while exploring emerging frontiers such as nanotechnology and AI-driven disease detection in key crops.</div><div><br></div><div>&nbsp;Key Features</div><div>-Detect crop diseases using deep learning and ensemble models</div><div><br></div><div><br></div><div>-Optimise yield prediction using big data analytics</div><div><br></div><div><br></div><div>-Empower livestock monitoring using IoT sensors</div><div><br></div><div><br></div><div>-Strengthen animal welfare with smart husbandry systems</div><div><br></div><div><br></div><div>-Enable farm traceability using blockchain networks</div><div><br></div><div><br></div><div>-Secure agricultural IoT systems with AI-based cybersecurity</div><div><br></div><div><br></div><div>-Improve precision farming using device-to-device communication</div>