Bentham Science Publishers

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.

Arid and Semi-Arid Zones of Mexico: A Comprehensive Exploration of Biodiversity, Ecology, and Conservation is an in-depth, multidisciplinary examination of one of Mexico's most ecologically distinctive and biologically rich landscapes. Comprising 14 chapters authored by subject-matter experts, this reference work investigates the climatic, physical, and biological characteristics of Mexico's principal arid and semi-arid regions.

The volume presents detailed assessments of emblematic plant and animal species, while also exploring the ecological roles of nursery processes and the consequences of human activity on fragile desert ecosystems. Conservation priorities are addressed through evaluations of protected natural areas and the safeguarding of native germplasm resources. Additionally, the contributors document the medicinal and biologically active products derived from arid-zone flora, highlighting their ecological and cultural significance.

Each chapter integrates case studies and findings from Mexico's key arid regions — the Baja California Peninsula, Chihuahuan Desert, Sonoran Desert, and Tehuacán-Cuicatlán Valley.

Key Features

Comprehensive ecological, biological, and conservation analysis of Mexico's arid and semi-arid regions

In-depth focus on emblematic fauna and flora

Examination of ecological processes, human impacts, and conservation strategies

Assessment of protected areas and germplasm conservation efforts using cacti as umbrella taxa

Documentation of natural products with medicinal and biological applications

Integrative analyses across four major arid regions, highlighting ecological patterns and biodiversity trends

This book is a personal, political and philosophical exploration of doing both therapy and research: an enquiry into how the process of therapy shapes the therapist as well as the client, and how the researcher is shaped by her research. A guiding theme is the proposal, following Foucault and Nikolas Rose, that psychotherapy is constituted, through forms of modern power, as a crucial contemporary site of both governance and resistance. As well as giving an account of the author's clinical and research practices as an art psychotherapist and narrative therapist, the book offers a highly readable introduction to poststructural theory and innovative social sciences methodologies, while expanding the understanding and practice of these theories and methodologies. The book embodies and performs what it describes, engaging readers far more strongly in complex theoretical material than is possible in an expository text. The poststructural, autoethnographic approach taken in this book is unique in the field of the arts therapies.

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.

Artificial Intelligence, Machine Learning and User Interface Design is a forward-thinking compilation of reviews that explores the intersection of Artificial Intelligence (AI), Machine Learning (ML) and User Interface (UI) design. The book showcases recent advancements, emerging trends and the transformative impact of these technologies on digital experiences and technologies.

The editors have compiled 14 multidisciplinary topics contributed by over 40 experts, covering foundational concepts of AI and ML, and progressing through intricate discussions on recent algorithms and models. Case studies and practical applications illuminate theoretical concepts, providing readers with actionable insights. From neural network architectures to intuitive interface prototypes, the book covers the entire spectrum, ensuring a holistic understanding of the interplay between these domains.

Use cases of AI and ML highlighted in the book include categorization and management of waste, taste perception of tea, bird species identification, content-based image retrieval, natural language processing, code clone detection, knowledge representation, tourism recommendation systems and solid waste management.

Advances in Artificial Intelligence, Machine Learning and User Interface Design aims to inform a diverse readership, including computer science students, AI and ML software engineers, UI/UX designers, researchers, and tech enthusiasts.

An intelligent system is one which exhibits characteristics including, but not limited to, learning, adaptation, and problem-solving. Artificial Neural Network (ANN) Systems are intelligent systems designed on the basis of statistical models of learning that mimic biological systems such as the human central nervous system. Such ANN systems represent the theme of this book. This book also describes concepts related to evolutionary methods, clustering algorithms, and other networks which are complementary to ANN systems.

The book is divided into two parts. The first part explains basic concepts derived from the natural biological neuron and introduces purely scientific frameworks used to develop a viable ANN model. The second part expands over to the design, analysis, performance assessment, and testing of ANN models. Concepts such as Bayesian networks, multi-classifiers, and neuromorphic ANN systems are explained, among others.

Artificial Neural Systems: Principles and Practice takes a developmental perspective on the subject of ANN systems, making it a beneficial resource for students undertaking graduate courses and research projects, and working professionals (engineers, software developers) in the field of intelligent systems design.

This reference presents information about quality benchmarks of Indian higher education institute (HEI) accreditation bodies namely, the National Assessment and Accreditation Council (NAAC) and the National Institute Ranking Framework (NIRF). The objective of the book is to enlighten stakeholders working in Indian HEIs on the recently revised accreditation and ranking processes, which are crucial to the career prospects of students. The contributors of each chapter include experienced NAAC assessors and educationalists. The authors present their own experiences in the light of the accreditation process and suggestions for the improvement of rankings in their institutes. Topics such as the student feedback system, student perception on private and public universities, student mentoring system, usage of ICT methods in teaching learning process, and integration of life skills into curriculum are discussed in this book. The information is presented in a simple, structured manner and is an informative resource for personnel involved in administrative and policy making roles in higher educational settings, with a focus on the Indian higher education system.

Functional foods (foods with known bioactive properties) have shown potential for preventive and therapeutic treatments. However, this potential must be safely determined before they enter the commercial market. At the same time, nutrition research is transforming into a data driven field with reference to the identification and development of functional food products due to the large number of variables affecting food biochemistry in the human body. This volume presents reviews of recent advances in food chemistry, food technology and nutraceutical research (for diet therapy and cosmetics).

Chapters in this volume cover a broad spectrum of topics:

- drug discovery and development in the modern nutraceutical industry,

- recent developments in the extraction, identification and quantification of bioactive peptides in foods,

- concepts of bioavailability, bioaccessibility, bioactivity, bioefficiency and bioconversion of bioactive foods,

- synthetic routes for obtaining bioactive compounds,

- the role of nutrigenomics to identify key cellular functions by specific genetic and epigenetic interactions with a nutrient,

- anti-cancer properties of important bioactive components of medicinal plants,

- the effect of a diet based on different bioactive foods on prevention and treatment of diabetes,

- antioxidant effects on cardiovascular disease,

- beneficial effects of bioactive foods on metabolic syndrome,

- the potential of tauroursodeoxycholic acid on prevention and recovery of neurodegenerative diseases,

- the effects of natural phytochemicals in prostate cancer,

- the effects of methylxanthines (caffeine and others), and culinary methods on physiological and toxicological effects of the bioactive food constituents.

The volume is an ideal reference for pharmacy students, nutritionists, healthcare providers and nutraceutical R&D specialists interested in functional foods.

Augmented intelligence is an alternate approach of artificial intelligence (AI), which emphasizes AI’s assistive role. Augmented intelligence enhances human skills of reasoning in a robotic system or software by simulating expectancy, educational mining, problem solving, recollection, sequencing, and decision-making capabilities. It is based on a combination of techniques such as machine learning, deep learning and cognitive computing.

This book explains artificial intelligence models that support assistive processes in different situations.

The contributors aim to provide information to a diverse audience with groundbreaking developments in mathematical computing.

The book presents 8 chapters on these topics:

- Educational data mining in augmented reality virtual learning environment

- Brain and computer interfaces

- Tree-based tools for chemometric analysis of infrared spectra

- Applications of deep learning in medical engineering

- Bankruptcy prediction model using an enhanced boosting classifier

- Reputation systems for mobile agent security

- The crow search algorithm

- COVID-19 diagnosis and treatment

The contents attempt to integrate various facets of augmented Intelligence, by describing recent research developments and advanced topics of interest to academicians and researchers working on machine learning problems and AI.

Awake thoracic surgery is a new surgical field that is set to expand in the near future. Employing sole epidural or local anaesthesia in fully awake patients renders many thoracic surgical procedures doable with less invasiveness and general anaesthesia related adverse effects can be avoided. This, in turn, facilitates fast track surgery and improves cost-effectiveness of treatment procedures. The book explains issues relevant to awake thoracic surgery including postoperative immunologic and stress-hormone responses, lung volume reduction surgery, pulmonary resections and thymectomy. This Ebook should be useful to readers interested in a comprehensive reference work on this intriguing minimally invasive surgical option.

Bacterial Diseases provides readers an overview of a broad variety of bacterial infections. Chapters cover the description of specific disease and its causative agent, followed by information about symptoms, diagnosis and clinical management. This easy-to-read resource is a suitable introductory textbook for pharmacy, medical, and dental students, as well as M Phil, and Ph.D. candidates for Pharmacology, Botany, Zoology, Microbiology, Pharmacy, Biotechnology and allied health science programs. Readers interested in a simple clinical summary of bacterial diseases can also benefit from the information provided.

Key Features:

- Coverage of a broad spectrum of bacterial infections over 41 topical chapters

- Easy-to-read presentation which provides a basic description of diseases covered to clinical diagnosis and management

- Emphasis on the route of infection

- References for further reading

Balance in Healthcare is an easy to understand guide to maintaining a balanced medium of activities for healthy living. The book points out key aspects of balance in living a healthy life, and gives information on toxic lifestyle elements that can cause imbalance. These aspects include lifestyle, diet, family relationships, spirituality, the immune system, the endocannabinoid system, the antioxidant system and the concept of energy balance in the human body. The contents are expressed in a simple way, while delving into the relevant scientific explanations and also place an emphasis on the positive aspects of relationships and spirituality. Balance in Healthcare therefore, serves as a simple detoxification reference to readers from all walks of life, enabling anyone to understand and relearn the traditional concept of balance from a scientific angle so that they can achieve their highest potential when making choices for their mental and physical well-being.

Basics of Organic Chemistry: A Textbook for Undergraduate Students is an essential guide for students who are learning organic chemistry. The book provides a clear and thorough introduction to fundamental concepts, beginning with the topic of structure and bonding, which lays the foundation by exploring atomic structure, hybridization, and chemical bonds. The second chapter on reaction mechanisms breaks down the processes and factors influencing chemical reactions. The next chapter introduces readers to reactive Intermediates including transient species like carbocations and free radicals, while the final two chapters on Stereochemistry and organic compounds examine the spatial arrangement of atoms and its impact on chemical properties.

Key features

- Clear explanations with detailed illustrations and structured chapters

- Real-world examples to connect theory with practice

- End-of-chapter exercises for self-assessment

- Bibliography for further reading

Designed for undergraduate students of chemistry and allied subjects, this textbook is a valuable resource for advanced studies, in organic chemistry, exam preparation, and laboratory work.

β-Glucan is generally considered to be a very safe immunomodulator. It is a well-known biological response modifier (BRM) that has been used as an adjuvant therapy for cancer since 1980, mostly in Japan. β-Glucan enhances the innate host defense against certain bacteria, yeast, and viral pathogens. I addition, glucans are also considered to be important in prophylaxis against irradiation. Various types of glucans are now routinely added both to human and animal food. At least 26 clinical trials are currently under way in several countries. The authors of this ebook have selected and brought together information on both theoretical and practical aspects of β-glucan use. The book is suitable for readers seeking timely and precise information on β-glucan history and various biological effects including possible use in the treatment of various diseases, without having any preliminary knowledge of natural immunomodulators. The book should not only provide an inspiration for carbohydrate and clinical chemists for further investigations in biomedicine, but it also presents a number of practical applicable results in immunology

Better Life and Business: Cell, Brain, Mind and Sex Universal Laws is an e-book that defines the fascinating new discipline: BRAINLIFEBIZ . BRAINLIFEBIZ combines new discoveries in neurobiology, behavior and medicine with novel concepts related to conscious software programming, automation, system adaptation, module selection , self -organization and automatic discovery. In other words, BRAINLIFEBIZ is a science of the consciousness, bio quantum / random chaos computations, self-organized event trains and processes with several conditions (continuous and discrete; without leadership and central control etc.). The goal of BRAINLIFEBIZ is to create a perfect computer model that simulates animal and human behavior in a computerized experimental setting. This volume presents simulations of the firefly, cricket, katydid, frog, bird and human prefrontal cortex. The book breaks across the lines that separate scientific disciplines. It explains the global nature of the specific intelligent systems outlined above. These intelligent systems features include learning, self- organization, fuzzy logic, high speed signal processing and process control. These features are employed to generate an intelligence map. The map presents figures and equations, curves and data for major ‘Elementary Processes’: aggression, mimicry, chaos , trains, pile up, attractions, courting, mating, emotion, reasoning and consciousness . ‘Elementary Processes’ are then simulated to interact with each other and form millions of complex processes explained by universal laws behind the cell, brain, mind, sex. These laws explain, in a new way, natural selection and reproductive success in the local and global society and business. These laws can be applied in a variety of situations - from everyday stress-free life, to intelligent business decision making, but with a solid biomedical and scientific foundation. The theory behind intelligent systems can be viewed as a complement to the genetic DNA code. The brain generates various brain event trains which allow it to store information in dispersed neural networks (biologically speaking, in 25 billions of neurons some of which with thousands of synapses dispersed over the cortex). The book explains the fast, precise and clear neural diagnostic processas well as the extremely flexible powerful leader mind. Better Life and Business: Cell, Brain, Mind and Sex Universal Laws is, therefore, a valuable reference for researchers to the fascinating world of natural and man -made intelligent systems and their applications in business situations and personal lives..

In Beyond Realms: Navigating the Metaverse, the authors explain concepts and features of the virtual world of the metaverse. The book starts with a conceptual understanding of what the metaverse entails, giving examples of popular apps. The authors delve into the intricacies of virtual economies, shedding light on their transformative potential for internet users. Subsequent chapters navigate the complex terrain of virtual currencies, digital assets, blockchain technology, that act as a bridge between virtual and physical experiences. From the early concepts of virtual currencies to the emergence of non-fungible tokens (NFTs) and the integration of blockchain technology, the authors meticulously explore the foundations and advancements that underpin these digital ecosystems.

This book is a comprehensive guide to the metaverse and its use cases, unraveling the multifaceted layers of virtual economies and their role in shaping online businesses and social interaction.

Bio-Based Antimicrobial Agents to Improve Agricultural and Food Safety provides a comprehensive overview of the latest advancements in bio-based antimicrobial agents used to enhance food safety and agricultural production. This book highlights natural alternatives to chemical preservatives, focusing on surfactin, bacillomycin, fengycin, bacteriocins, and plant-based antimicrobials. It explores their applications in controlling microbial contamination, improving crop health, and extending food shelf life. Key topics include biopreservation techniques, biological control of pathogens, and sustainable agricultural practices. With contributions from experts worldwide, this book is an essential resource for researchers, biotechnologists, microbiologists, food scientists, and industry professionals aiming to understand modern bio-safe methods for food preservation and crop protection.

Bio-Inspired Nanotechnology focuses on the use of bio-inspired and biomimetic methods for the fabrication and activation of nanomaterials. It summarizes recent developments in biocompatible and biodegradable materials, including their properties, fabrication methods, synthesis protocols, and applications. This includes studies concerning the binding of the biomolecules to the surface of inorganic structures, structure/function relationships of the final materials, and unique applications of such biomimetic materials in harvesting/storage, biomedical diagnostics, and materials assembly. The book chapters also cover a range of available bio-based nanomaterials, including chitin, starch and nanocellulose. It serves as a detailed reference for learners and anyone interested in sustainable nanoscale materials, including materials scientists, biomedical engineers, environmental scientists, food and agriculture manufacturers and scientists.

This book aims to fill research gaps in the search for chemotherapeutic and chemopreventive natural compounds. It includes a collection of detailed reviews focusing on bioactive compounds from plant sources that can be beneficial for cancer therapy. Topics covered include the role of antioxidants in cancer therapy, medicinal plants for cancer chemotherapeutics, bioactive compounds from marine plants, and a review of inhibiting nitric oxide reactions for preventing cancer. Chapters are contributed by researchers who have provided detailed lists and descriptions of the relevant plant sources, the compounds and the biochemical reactions. The book includes references for advanced reading. This book is intended as a reference for scholars and healthcare professionals studying natural medicines for cancer prevention and treatment.