Bentham Science Publishers

This inter-disciplinary volume provides information on anticancer medicines derived from marine organisms. Eight edited reviews extensively list the variety of organisms including marine plants, sponges, cnidarians and fish. Emphasis is placed on the source of the compounds, their structure and mechanism of action. Anticancer peptides from sponges are covered in a dedicated chapter. The specific biology and ecology of marine organisms yielding these anticancer compounds is also highlighted where appropriate. All chapters include detailed references for advanced readers.

This volume is a standard text-cum-reference for teachers, students and researchers of various disciplines such as Biomedical Sciences, Pharmaceutical Sciences, Marine Biology, and Fisheries Science, it also serves as a guide to marine anticancer compounds for professionals in the pharmaceutical industry who are involved in the development of new marine-derived anticancer drugs.

This book is a guide to the application of ionic liquids (ILs) in the oil industry. It includes ten chapters that review basic and advanced topics. Starting with a general introduction to IL structure and properties, the book comprehensively explains the use of ILs in key petroleum extraction processes such as pollutant removal, demulsification, crude oil transport and oil recovery. Additional applications that are important for the sustainability management of petrochemical operations such as deepwell hydrate inhibition, CO2 capture, corrosion engineering, catalysis, hydrocarbon separation, bitumen extraction and stabilization are also included. Each chapter also provides bibliographic references for further reading. The wide range of topics makes this an informative reference to students and professionals in petroleum engineering, chemical engineering programs and any other training course that requires reading material for an understanding of the oil industry. General readers and researchers interested in the fascinating chemistry of ionic liquids will also enjoy this book.

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.

This monograph research presents research in applied biomathematics carried out by the author at the beginning of this millennium. Monte Carlo simulations have been widely used by computational biologists to understand stochastics of living systems in biological matter. This work demonstrates how Monte Carlo simulations can help us to understand the nucleic acid structure, biophysics and chemistry. The author presents research on methods to understand aspects of the molecular dynamics of nucleic acids, DNA melting, evolutionary genetics, protein folding of Crambin and DNA vitrification. The book consists of five chapters and an appendix on the theoretical investigation on 10-12 potential of Hydrogen-Hydrogen covalent bond. Some of the previous research published in İnternational Journal of Modern Physics C and Modern Physics Letters B is extended for additional insight. Readers will find simple computer algorithms for hard mathematical physics problems such as mesoscopic, fractals, percolation, Metropolis algorithm and Langevin dynamics & many of which are also crucial to understanding experimental results of computer-aided drug discovery and cryopreservation. The author has taken care to explain calculations in a clear manner. All simulations have been conducted using Fortran (f77).

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.

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.

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.