Bentham Science Publishers

Compendium on Cardiomyopathies provides an easily readable source of material for practicing physicians, clinicians, cardiologists, intensivists and emergency medicine specialists. It presents an overview of different cardiomyopathies with information known from the past to the present. Chapters cover different kinds of cardiomyopathies: hypertrophic cardiomyopathies, pediatric cardiomyopathies, arrhythmogenic right ventricular cardiomyopathy, inherited cardiomyopathies, Chagas disease, Takotsubo cardiomyopathy and more. Readers will be informed about current research on different aspects of these cardiomyopathies such as etiology, important imaging methods used in diagnosis and treatment, genetics and clinical management. This compendium also introduces the reader to new terms describing groups of cardiomyopathies to enable them to apply modern clinical management principles while treating patients.

Osteomyelitis of the jaws is a challenging disease for clinicians and patients despite many advances in the diagnosis and treatment of the disease. Any adverse changes arising from any immunosuppressive systemic diseases will readily manifest itself in the oral cavity. Osteomyelitis is not an exception to this observation. Thus a careful evaluation of an apparently healthy individual presenting with a jaw swelling that may be associated with odontogenic infection must always be emphasized.

Comprehensive Maxillofacial Osteomyelitis provides detailed information about osteomyelitis of the jaws.

Computational biology in combination with large-scale biology has played a critical role in exploring the great potentials of embryonic stem cells, resulting in significant discoveries. This e-book brings together reviews and essays from different aspects of the embryonic stem cell research thus providing a comprehensive and updated introduction and reference specifically for computational biology of embryonic stem cells. Selected topics include focused analyses of the genome, transcriptome, epigenome, proteome, and regulatory network of embryonic stem cells, the theories and tools of computational biology used in these studies, and newly available databases and on-line resources for bioinformatics research. Future perspectives of related research activities are also addressed by various authors in this e- book. The book is a valuable reference and handbook for researchers and clinicians conducting stem cell research, as well as students and medical professionals interested in regenerative medicine, developmental biology, bioinformatics and computational biology.

Computational Intelligence and its Applications explores cutting-edge advancements in machine learning, data science, and their practical applications. This comprehensive guide caters to college students, researchers, and professionals equipping readers with the knowledge to navigate and leverage the latest trends in computational intelligence effectively.

Key Features:

- Emerging Technologies: Covers post-quantum cryptography, secure communication, and advancements in chatbot technology.

- Practical Applications: Includes stock price prediction, cloud computing, and data-driven DNA sequencing.

- Security and Detection: Enhances intrusion detection and analyzes crop disease using machine learning.

- Natural Language Processing: Explores sentiment analysis and the impact of big data on natural language processing.

- Advanced Techniques: Discusses blockchain technology, remote sensing, and depression detection on social media.

New technologies and computing methodologies are now used to address the existing issues of urban traffic systems. The development of computational intelligence methods such as machine learning and deep learning, enables engineers to find innovative solutions to guide traffic in order to reduce transportation and mobility problems in urban areas.

This volume, Computational Intelligence for Sustainable Transportation and Mobility, presents several computing models for intelligent transportation systems, which may hold the key to achieving sustainable development goals by optimizing traffic flow and minimizing associated risks. The book begins with the basic computational Intelligence techniques for traffic systems and explains its applications in vehicular traffic prediction, model optimization, behavior analysis, traffic density estimation, and more. The main objectives of this book are to present novel techniques developed, new technologies and computational intelligence for sustainable mobility and transportation solutions, as well as giving an understanding of some Industry 4.0 trends.

Readers will learn how to apply computational intelligence techniques such as multiagent systems (MAS), whale optimization, artificial Intelligence (AI), deep neural networks (DNNs) so that they can to develop algorithms, models, and approaches for sustainable transportation operations.

Key Features:

- Provides an overview of machine learning models and their optimization for intelligent transportation systems in urban areas

- Covers classification of traffic behavior

- Demonstrates the application of artificial immune system algorithms for traffic prediction

- Covers traffic density estimation using deep learning models

- Covers Fog and edge computing for intelligent transportation systems

- Gives an IoT and Industry 4.0 perspective about intelligent transportation systems to readers

- Presents a current perspective on an urban hyperloop system for India

This volume is essential reading for scholars and professionals involved in courses and training programs in the field of transportation, computer science, data science and applied machine learning.

This reference provides a comprehensive overview of computational modelling and simulation for theoretical and practical biomedical research. The book explains basic concepts of computational biology and data modelling for learners and early career researchers. 

Chapters cover these topics:

1. An introduction to computational tools in biomedical research

2. Computational analysis of biological data

3. Algorithm development for computational modelling and simulation

4. The roles and application of protein modelling in biomedical research

5. Dynamics of biomolecular ligand recognition

Key features include a simple, easy-to-understand presentation, detailed explanation of important concepts in computational modeling and simulations and references.

Computational simulation and experimental techniques for nanofluid flow is a collection of studies on nanofluid modelling. It brings together eight detailed research articles that describe the latest developments in nanofluid flow experimentation and simulation. Topics covered include numerical flow simulations and applications on MHD viscous nanofluid, bioconvective nanofluid, oblique nanofluid, Casson nanofluid, hybrid nanofluid, Darcy-Forchheimer hybrid nanofluid, magneto-radiative Ag-water nanofluid, and thixotropic nanofluid.

Key Features

- Includes eight chapters authored by experts in fluid mechanics and numerical simulation

- Showcases significant and novel attempts on computational simulation modelling for developing new mathematical models on nanofluids at the research level

- Highlights current research intended to advance mathematics and other areas of science and technology

- Includes references for advanced readers

This publication is essential for researchers and students, academicians who are learning nanofluid flow models. Readers involved in applied research and development projects involving nanofluids will also benefit from the information (environmentalists, technicians and biomedical engineers).

Computer Assistive Technologies for Physically and Cognitively Challenged Users focuses on the technologies and devices that assist individuals with physical and cognitive disabilities. These technologies facilitate independent activity and participation, serving to improve daily functional capabilities. The book features nine chapters that cover a wide range of computer assistive technologies that give readers an in-depth understanding of the available resources to help the elderly or individuals with disabilities. The topics covered in the book include 1) The category and ontology of assistive devices, 2) Web accessibility and ICT accessibility for persons with disability (PWD), 3) Assistive technologies for blind and visually impaired people, 4) Assistive technologies for home comfort and care, 5) Assistive technologies for hearing impaired people using Indian sign language synthetic animations, 6) Augmentative and alternative communication/hearing impairments, 7) Accessibility innovations to help physically disabled users, 8) Adhesive tactile walking surface indicators for elderly and visually impaired people mobility, 9) future of assistive technologies. This book serves as a textbook resource for students undertaking modular courses that require learning material on computer assistive technology. It also serves as a reference for graduate level courses in disability studies, human-computer interaction, gerontology and rehabilitation engineering. Researchers working in the allied fields intersecting computer science, medicine and psychology will also benefit from the information provided in the book.

Computer-Aided Drug Discovery Methods: A Brief Introduction explores the cutting-edge field at the intersection of computational science and medicinal chemistry. This comprehensive volume navigates from foundational concepts to advanced methodologies, illuminating how computational tools accelerate the discovery of new therapeutics.

Beginning with an overview of drug discovery principles, the book explains topics such as pharmacophore modeling, molecular dynamics simulations, and molecular docking. It discusses the application of density functional theory and the role of artificial intelligence in therapeutic development, showcasing successful case studies and innovations in COVID-19 research.

Ideal for undergraduate and graduate students, as well as researchers in academia and industry, this book serves as a vital resource in understanding the complex landscape of modern drug discovery. It emphasizes the synergy between computational methods and experimental validation, shaping the future of pharmaceutical sciences toward more effective and targeted therapies.

1. Since the introduction of the information measure widely known as Shannon entropy, quantifiers based on information theory and concepts such as entropic forms and statistical complexities have proven to be useful in diverse scientific research fields. This book contains introductory tutorials suitable for the general reader, together with chapters dedicated to the basic concepts of the most frequently employed information measures or quantifiers and their recent applications to different areas, including physics, biology, medicine, economics, communication and social sciences. As these quantifiers are powerful tools for the study of general time and data series independently of their sources, this book will be useful to all those doing research connected with information analysis.

The tutorials in this volume are written at a broadly accessible level and readers will have the opportunity to acquire the knowledge necessary to use the information theory tools in their field of interest.