Bentham Science Publishers

Medicinal Chemistry and Marine Life Volume 2: Antidiabetic Potential of Marine Life explores the vast antidiabetic potential of marine organisms, from microbes and macroalgae to invertebrates, fishes, and by-products like fish oils and chitosan. It highlights bioactive marine-derived molecules and lead compounds with proven or emerging antidiabetic activity, bridging insights from pharmaceutical and marine biology research.

Key Features:

Presents a comprehensive overview of marine-derived antidiabetic agents.

Discusses pharmacological mechanisms and lead molecule identification.

Explores therapeutic potential across diverse marine species and by-products.

Integrates interdisciplinary research from marine biology and pharmaceutical sciences.

Serves as the first consolidated reference on marine biota and diabetes management.

The book covers the applications of some alternative approaches for prolonging food shelf life. The book describes the role of food safety objectives, natural compounds (such as oils and microbial enzymes), pressure and atmospheric techniques and alternative approaches (microwave, irradiation and mathematical microbial modeling) in food preservation.

Implications of preservative approaches on food texture and sensorial quality are also discussed along with technology related hurdles commonly encountered in the field. The book should be very useful for food producers and microbiologists.

This book provides a thorough investigation of the application of chaos theory and fractal analysis to computer vision. The field of chaos theory has been studied in dynamical physical systems, and has been very successful in providing computational models for very complex problems ranging from weather systems to neural pathway signal propagation. Computer vision researchers have derived motivation for their algorithms from biology and physics for many years as witnessed by the optical flow algorithm, the oscillator model underlying graphical cuts and of course neural networks. These algorithms are very helpful for a broad range of computer vision problems like motion segmentation, texture analysis and change detection.

The contents of this book include chapters in biological vision systems, foundations of chaos and fractals, behavior of images and image sequences in phase space, mathematical measures for analyzing phase space, applications to pre-attentive vision and applications to post-attentive vision.

This book is intended for graduate students, upper division undergraduates, researchers and practitioners in image processing and computer vision. The readers will develop a solid understanding of the concepts of chaos theory and their application to computer vision. Readers will be introduced to a new way of thinking about computer vision problems from the perspective of complex dynamical systems. This new approach will provide them a deeper understanding of the various phenomena present in complex image scenes.

Applications of Advanced Ceramics in Science, Technology, and Medicine explores a broad range of advanced ceramic materials and their innovative applications in distinct fields. Chapters cover applications such as actuators, energy storage, environmental health and monitoring, 3D printing, electronics, biomedical engineering and EMI shielding. Chapters provide readers with an overview of the structural and fundamental properties, synthesis strategies and versatile applications of advanced ceramic materials and their composites. The information in the volume will be beneficial for students, research scholars, faculty members and R&D specialists working in the area of material science, nanotechnology, solid-state science, chemical engineering, power sources and renewable energy storage.

This Ebook presents state-of-the-art solutions in applications of modern high performance networks. The topics covered in this Ebook include mobile ad-hoc networks, clusters for distance computing, clustering technologies and deployment, emerging wireless sensor network technologies, ultra wideband wireless sensor networks, and smart agriculture with sensor networks. This Ebook stands out from others in the field by bringing together the most diverse applications of networks under one title. It is aimed at academicians, students and working professionals in hospitals, agriculture, government, military, and networking technology fields.

Applications of Modern Mass Spectrometry, Volume 2, covers the latest advances in mass spectrometry in scientific research. The series presents readers with information on the broad range of mass spectrometry techniques and configurations, data analysis, and practical applications. Each volume contains contributions from eminent researchers who present their findings in an easy-to-read format. The multidisciplinary nature of the works presented in each volume of this book series makes it a valuable reference on mass spectrometry to academic researchers and industrial R&D specialists in applied sciences, biochemistry, life sciences, and allied fields.

The second volume of the series presents 6 reviews: Ion Mobility-Mass Spectrometry for Macromolecule Analysis - Recent Advancements in Detection of Organic Contaminants in Wastewater Using Advanced Mass Spectrometry - Poisonous Substances in Tropical Medicinal and Edible Plants: Traditional Uses, Toxicology, and Characterization by Hyphenated Mass Spectrometry Techniques - LC-MS Analysis of Endogenous Neuropeptides from Tissues of Central Nervous System: An Overview - Advances in Structural Proteomics Using Mass Spectrometry and Recent Trends of Modern Mass Spectrometry: Application towards Drug Discovery and Development Process.

Applications of NMR Spectroscopy is an eBook series devoted to publishing the latest advances in the application of nuclear magnetic resonance (NMR) spectroscopy in practical situations. The second volume of this eBook series features five chapters covering NMR spectroscopic analysis of plant polyphenols, the role of NMR spectroscopy in neuroradiology, NMR –based sensors, studies on protein and nucleic acid structure and function, and mathematical formations for NMR spectroscopy in structural biology.

Applications of NMR Spectroscopy is a book series devoted to publishing the latest advances in the applications of nuclear magnetic resonance (NMR) spectroscopy in various fields of organic chemistry, biochemistry, health and agriculture.

The fourth volume of the series features several reviews focusing on NMR spectroscopic techniques in food sciences. Readers will find references on methods used to test food quality, food color analysis, the role of Tannins in wine taste as well as NMR studies on lipid oxidation and large protein complexes.

Applications of NMR Spectroscopy is a book series devoted to publishing the latest advances in the applications of nuclear magnetic resonance (NMR) spectroscopy in various fields of organic chemistry, biochemistry, health and agriculture.

The sixth volume of the series features reviews focusing on NMR spectroscopic techniques for studying tautomerism, applications in medical diagnosis, in food chemistry and identifying secondary metabolites.

Applications of NMR Spectroscopy is a book series devoted to publishing the latest advances in the applications of nuclear magnetic resonance (NMR) spectroscopy in various fields of organic chemistry, biochemistry, health and agriculture.

The eighth volume of the series features six reviews focusing on NMR spectroscopic techniques in food science, molecular biology and medical diagnosis. The reviews in this volume are:

- qNMR as a Tool for Determination of Six Common Sugars in Foods

- Correlation of VIP Scores and 1H NMR to Extract Information of Psychological Attention Tests Applied Before and After Coffee Intake

- NMR Spectroscopy for Probing the Structural Determinants of Aptamer Optimization and Riboswitch Engineering

- Applications of NMR Spectroscopy in Medical Diagnosis

- Applications of NMR Spectroscopy in Cancer Diagnosis

- NMR as a Tool for Exploring Protein Interactions and Dynamics

This volume describes recent advancements in the synthesis and applications of nanomaterials for energy harvesting and storage, and optoelectronics technology for next-generation devices.

This book consists of 15 chapters that cover a range of nanomaterials and the corresponding technologies.

The initial chapters summarize the recent progress in applications of nanomaterials like carbon nanotubes, metal oxides, and graphene oxides-based hybrids in solar energy harvesting using recent photovoltaic technologies. These chapters are followed by reviews on nanowires, graphene quantum dots, boron nitrides, carbon nano onions and metal organic frameworks leading to the fabrication of supercapacitors, bio-sensors, lithium-ion batteries and hydrogen storage applications. The final set of chapters cover the next generation fuel cells using polymer nanocomposites, ferroelectric liquid crystal nanocomposite and optoelectronic nanomaterials for optical memory and displays devices.

Key Features:

Describes the types of nanomaterials that are fundamental to energy storage and electronic systems. These materials include nanowires, graphene quantum dots, boron nitrides, carbon nano onions and metal organic frameworks (MOFs),

Covers the processes for nanomaterial synthesis

Reviews important photovoltaics applications of nanomaterials, including their use in energy storage, batteries and optoelectronic devices

Discusses the application of nanomaterials in electronics for sensing, bioelectronics, memory, nanocomposites for fuel cells, ferroelectric liquid crystal nanocomposites and optoelectronic nanomaterials for optical memory and displays

Provides references for further reading in every chapter The volume informs engineers, academic researchers, research scholars and graduate students working in the area of nanomaterials for energy generation, storage and optoelectronics.

Applications of Nanoparticles in Drug Delivery and Therapeutics is an authoritative review on nanoparticle-based drug delivery systems. This comprehensive volume focuses on the transformative role of nanoparticles in enhancing drug delivery systems and advancing therapeutic applications. By bridging the gap between laboratory research and clinical practice, this book offers a thorough exploration of how nanotechnology is revolutionizing the pharmaceutical industry.

The book is structured into well-organized chapters, each dedicated to a specific aspect of nanoparticle-based drug delivery and therapy. Initial chapters provide a foundational understanding of nanoparticle synthesis, characterization, and functionalization. Subsequent sections cover various types of nanoparticles, including liposomes, dendrimers, and polymeric nanoparticles, highlighting their unique properties and applications. The latter chapters delve into case studies and clinical trials, showcasing real-world applications and the therapeutic potential of nanoparticle technologies in treating diseases like cancer, cardiovascular disorders, and neurodegenerative diseases.

Key features of this book include detailed discussions on the design and optimization of nanoparticles for targeted drug delivery, insights into the regulatory and safety aspects of nanomedicine, and comprehensive reviews of current and emerging therapeutic applications. The book also offers practical guidance on the challenges and future directions in the field, making it an invaluable reference for researchers and practitioners alike.

Chapters 1 and 2 are based on the introduction of nanomaterials used as drug delivery systems, their manufacturing approaches and applications. Chapters 3 and 4 emphasize on the use of nanoparticles in medical diagnostics and in intervention devices. Chapters 5 and 6 illustrate the use of lipids-based nanoparticles in medical imaging and drug delivery. Chapter 7 specifically discusses amino acid functionalized inorganic nanoparticles in diagnostics. Chapter 8 is focused on the special class of nanoparticles “hybrid nanocomposites”. Chapters 9 and 10 covers the applications of silica and fullerene nanomaterials in anticancer drug delivery.

The book is intended as a resource for pharmaceutical scientists, biomedical researchers, and healthcare professionals keen on the latest advancements in drug delivery systems. It also serves as essential reading for graduate students and academics in pharmacology and medical courses that require learning about modern drug delivery systems.

The chemistry of heterocomplex compounds is a fascinating field for experts in chemical synthesis and structural analysis, and for technologists specializing in leather processing. This volume describes the vast theoretical and practical possibilities of exploiting the action synergism of metals with different collagen cross-linking capacity. The possibility of reducing chromium content from leather tanning agents by replacing it with other tanning metals has significant environmental implications and minimum changes in terms of quality and production costs of natural leather, and is a viable alternative for a safe future. Applicative Chemistry of Tanning Metallic Heterocomplexes is a book dedicated to the synthesis and use of tanning metallic heterocomplexes in leather tanning as alternatives to tanning with basic chromium salts. Replacing chromium with other tanning metals is an innovative approach that exploits the possibility that a series of known disadvantages of tanning metals used individually be reduced by heterocomplexation. The synthesis mechanism of stable combinations of chromium with other tanning metals: aluminum, iron, titanium, or zirconium is based on the stoichiometry of oxidation-reduction reactions which enables a wide range of combinations, the premise for obtaining various properties by tanning and retanning natural leather. The volume is intended as a useful reference for researchers, chemical auxiliary producers, experts in natural leather processing who are looking for clean and efficient solutions for wastewater pollutants, sludge or solid wastes while striving to preserve the known characteristics of mineral tanned natural leather.

Designing and developing new drugs is an expensive and time-consuming process, and there is a need to discover new tools or approaches that can optimize this process. Applied Computer-Aided Drug Design: Models and Methods compiles information about the main advances in computational tools for discovering new drugs in a simple and accessible language for academic students to early career researchers. The book aims to help readers understand how to discover molecules with therapeutic potential by bringing essential information about the subject into one volume. Key Features . Presents the concepts and evolution of classical techniques, up to the use of modern methods based on computational chemistry in accessible format. . Gives a primer on structure- and ligand-based drug design and their predictive capacity to discover new drugs. . Explains theoretical fundamentals and applications of computer-aided drug design. . Focuses on a range of applications of the computations tools, such as molecular docking; molecular dynamics simulations; homology modeling, pharmacophore modeling, quantitative structure-activity relationships (QSAR), density functional theory (DFT), fragment-based drug design (FBDD), and free energy perturbation (FEP). . Includes scientific reference for advanced readers

This book provides an ideal foundation for readers to understand the application of artificial intelligence (AI) and machine learning (ML) techniques to expert systems in the healthcare sector. It starts with an introduction to the topic and presents chapters which progressively explain decision-making theory that helps solve problems which have multiple criteria that can affect the outcome of a decision. Key aspects of the subject such as machine learning in healthcare, prediction techniques, mathematical models and classification of healthcare problems are included along with chapters which delve in to advanced topics on data science (deep-learning, artificial neural networks, etc.) and practical examples (influenza epidemiology and retinoblastoma treatment analysis).

Key Features:

- Introduces readers to the basics of AI and ML in expert systems for healthcare

- Focuses on a problem solving approach to the topic

- Provides information on relevant decision-making theory and data science used in the healthcare industry

- Includes practical applications of AI and ML for advanced readers

- Includes bibliographic references for further reading

The reference is an accessible source of knowledge on multi-criteria decision-support systems in healthcare for medical consultants, healthcare policy makers, researchers in the field of medical biotechnology, oncology and pharmaceutical research and development.

Architecture in Contemporary Literature artfully weaves the tapestry of architecture with the eloquence of modern literary masterpieces. In this follow up to their earlier work on architecture in fictional literature, the editors have carefully selected 31 significant works from contemporary world literature, offering a fresh educational approach to literary critique and architecture. This exploration allows readers to perceive life through the lens of architectural backgrounds. Nature, society, humans, and cities come to life through these chosen literary gems. Extensive collaboration with architects, intellectuals, academics, writers, and thinkers culminates in the selection of influential works that guide present-day architectural perspectives and aspirations.

The book promises to be a valuable reference for undergraduate and graduate students in architecture, interior architecture, urban planning, fine arts, humanities, social sciences, and various design disciplines. Yet, its appeal also extends to anyone with an appreciation for urban life and a desire for a broader understanding of the intricacies of architecture. Whether you're an expert in design, culture, art, sociology, or literature, or simply an avid learner, Architecture in Contemporary Literature is a compelling exploration that deserves a prominent place on your bookshelf. Engage with its pages and immerse yourself in the fusion of architectural insight and literary artistry.

This book provides a single platform for beginners in systems engineering to start Arduino interface projects with MATLAB®. It covers the basics of the programming with Arduino and Arduino interfacing with MATLAB® (with and without the use or I/O packages) in 3 sections, respectively.

Key features:

-introduces readers to Arduino IDE, Proteus simulation modeling, Arduino interfaces with display devices, sensor interfaces (both digital and analog), actuators, MATLAB® GUIs, digital read/write systems with I/O interfaces and automation systems.

-organized layout for a reader friendly experience

-provides detailed circuit diagrams

-provides relevant simulation modeling instructions

This is an ideal book for engineering students and system designers for learning the basic programming and simulation of Arduino and MATLAB® based real time project prototypes.

We live in exciting times. The frontiers of physics have been pushed to unprecedented horizons. The Holy Grail of fundamental physics research today is to find and describe a theory that explains, at least in principle, all physical phenomena, which in turns explains chemistry, biology and other material sciences. This, however, is not without controversy. Currently, the most popular candidate for such a theory is known as string or superstring theory. It suffers from the problem of being a purely mathematical science with no experimental backing, and belief in it has been criticized as bordering on "faith" as opposed to scientific scrutiny. On the other hand the recent switching-on of our most advanced experimental tool, the Large Hadron Collider in Switzerland, gives new hope in our search for clues as to what the universe is made of on a fundamental level. What happened exactly on, or even before, the Big Bang? Where are we coming from and where are we going? Questions that have never been addressed before by physicists. The game is afoot and the search is on. This book contains articles by leading physicists describing the current situation. Among them are proponents as well as opponents of string theory, and proponents of other ideas such as Loop quantum gravity, commutative geometry, and others.

Aromatherapy is a medical practice that uses aromatic compounds or essential oils to influence mood and health. Essential oils used in aromatherapy are created from a wide variety of medicinal plants, flowers, herbs, roots, and trees that are found all over the world and have significant, well-documented benefits on enhancing physical, emotional, and spiritual wellbeing.

This book is a comprehensive reference on aromatic compounds present in essential oils and their therapeutic use. Starting from fundamentals of essential oil biosynthesis the book guides the reader through their basic biochemistry, toxicology, profiling, blending and clinical applications. The concluding chapters also present focused information about the therapeutic effects of essential oils on specific physiological systems, plant sources, skin treatment and cancer therapeutics.

The combination of basic and applied knowledge will provide readers with all the necessary information for understanding how to develop preclinical formulations and standard clinical therapies with essential oils. This is an essential reference for anyone interested in aromatherapy and the science of essential oils.

This Ebook covers the emerging and most important theories underlying artificial intelligence applications in a variety of medical problems. It is written for physicians, researchers, engineers, statisticians and advanced students who wish to increase their familiarity with different topics of modern mathematics related to predictive medicine. Both theoretical and applied aspects are presented in this book. Many illustrative mathematical explanations and worked-out examples are given. This book features contributions by nine noted experts from leading medical centers worldwide, which should prove to be of considerable interest to the readers.

Artificial Intelligence Development in Sensors and Computer Vision for Health Care and Automation Application explores the power of artificial intelligence (AI) in advancing sensor technologies and computer vision for healthcare and automation. Covering both machine learning (ML) and deep learning (DL) techniques, the book demonstrates how AI optimizes prediction, classification, and data visualization through sensors like IMU, Lidar, and Radar. Early chapters examine AI applications in object detection, self-driving vehicles, human activity recognition, and robot automation, featuring reinforcement learning and simultaneous localization and mapping (SLAM) for autonomous systems. The book also addresses computer vision techniques in healthcare and automotive fields, including human pose estimation for rehabilitation and ML in augmented reality (AR) for automotive design. This comprehensive guide provides essential insights for researchers, engineers, and professionals in AI, robotics, and sensor technology.

Key Features:

- In-depth coverage of AI-driven sensor innovations for healthcare and automation.

- Applications of SLAM and reinforcement learning in autonomous systems.

- Use of computer vision in rehabilitation and vehicle automation.

- Techniques for managing prediction uncertainty in AI models.

Artificial Intelligence and Data Science in Recommendation System: Current Trends, Technologies and Applications captures the state of the art in usage of artificial intelligence in different types of recommendation systems and predictive analysis. The book provides guidelines and case studies for application of artificial intelligence in recommendation from expert researchers and practitioners. A detailed analysis of the relevant theoretical and practical aspects, current trends and future directions is presented.

The book highlights many use cases for recommendation systems:

- Basic application of machine learning and deep learning in recommendation process and the evaluation metrics

- Machine learning techniques for text mining and spam email filtering considering the perspective of Industry 4.0

- Tensor factorization in different types of recommendation system

- Ranking framework and topic modeling to recommend author specialization based on content

- Movie recommendation systems - Point of interest recommendations

- Mobile tourism recommendation systems for visually disabled persons

- Automation of fashion retail outlets

- Human resource management (employee assessment and interview screening)

This reference is essential reading for students, faculty members, researchers and industry professionals seeking insight into the working and design of recommendation systems.

This book explains different applications of supervised and unsupervised data engineering for working with multimedia objects. Throughout this book, the contributors highlight the use of Artificial Intelligence-based soft computing and machine techniques in the field of medical diagnosis, biometrics, networking, automation in vehicle manufacturing, data science and automation in electronics industries. The book presents seven chapters which present use-cases for AI engineering that can be applied in many fields. The book concludes with a final chapter that summarizes emerging AI trends in intelligent and interactive multimedia systems. Key features: - A concise yet diverse range of AI applications for multimedia data engineering - Covers both supervised and unsupervised machine learning techniques - Summarizes emerging AI trends in data engineering - Simple structured chapters for quick reference and easy understanding - References for advanced readers This book is a primary reference for data science and engineering students, researchers and academicians who need a quick and practical understanding of AI supplications in multimedia analysis for undertaking or designing courses. It also serves as a secondary reference for IT and AI engineers and enthusiasts who want to grasp advanced applications of the basic machine learning techniques in everyday applications.

Smart cities and villages have enhanced the quality of lives of residents. Various computer-assisted technologies have been harnessed for the development of smart cities and villages in order to provide solutions for common and niche urban problems. The development of smart environments has been possible due on advances in computing power and artificial intelligence (AI) that have allowed the deployment of scalable technologies.

Artificial Intelligence for Smart Cities and Villages: Advanced Technologies, Development, and Challenges summarizes the role of AI in planning and designing smart solutions for urban and rural environments.

This book is divided into three sections to impart a better understanding of the topics to readers. These sections are: 1) Demystifying smart cities and villages: A traditional perspective, 2) Smart innovations for rural lifestyle management solutions, and 3) Case studies. Through this book, readers will be able to understand various advanced technologies that are vital to the development of smart cities and villages.

The book presents 15 chapters that present effective solutions to urban and rural challenges. Concepts highlighted in chapters include smart farms, indoor object classification systems, smart transportation, blockchains for medical information, humanoid robots for rural education, IoT devices for farming, and much more.

This book is intended for undergraduate and graduate engineering students across all disciplines, security providers in the IT and related fields, and trainees working for infrastructure management companies. Researchers and consultants at all levels working in the areas of artificial intelligence, machine learning, IoT, blockchain, network security, and cloud computing will also find the contents beneficial in planning projects involving smart environments.