Bentham Science Publishers

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.

Nanomedicine is evolving with novel drug formulations devised for multifunctional approaches towards diagnostics ad therapeutics. Nanomedicine-based drug therapy is normally explored at a fixed dose. The drug action is time-dependent, dose-dependent and patient-specific. To overcome challenges of nanomedicine testing, artificial intelligence (AI) serves as a helping tool for optimizing the drug and dose parameters. Real time conversions between these two features enables upgradation of patient data acquisition and improved design of nanomaterials. In this scenario, AI-based pattern analysis and algorithms models can greatly improve accuracy of diagnostics and therapeutics.

This book gives a comprehensive explanation of the role of machine learning and artificial intelligence in cancer nanomedicine. It presents 10 chapters that cover multiple dimensions of the subject. These dimensions are:

- The need of AI and ML in designing new cancer drugs

- Application of AI in cancer drug design

- AI-based drug delivery models for cancer drugs

- Diagnostic applications of AI

- Intelligent nanosensors for biomarker profiling

- Predictive models for metastatic cancer

- Cancer nanotheranostics

- Ethics of AI in medicine

Contributions have been made by 16 researchers who are experts in pharmacology and drug design. The contents of the book bridge knowledge gaps between the fields of biomedical engineering, pharmacology and clinical medicine, with a focus on cancer treatment.

The book serves as a reference for scholars learning about cancer diagnostics and therapeutics. Biomedical engineers who are involved in healthcare projects will also find the concepts and techniques highlighted in the book informative for understanding modern computer-based approaches used to solve clinical problems.

This e-book focuses on the application of artificial intelligence resources in fields related to Control and Automation Engineering. Techniques such as neural networks, fuzzy logic and expert systems are a key tool for researchers and engineers requiring powerful solutions to a wide range of problems. The e-book should be a useful guide for these engineers and presents practical examples of real cases where these techniques have been successfully applied.

Artificial Intelligence and Knowledge Processing: Methods and Applications demonstrates the transformative power of Artificial Intelligence (AI) in our lives. The book is a collection of 14 edited reviews that cover a wide range of topics showcasing the application of AI and machine learning to create knowledge, and facilitate different processes. The book starts by illuminating how AI is employed in robotics, IoT, marketing, and operations. It showcases how AI extracts insights from big data, optimizes museum management, and empowers automated garden path planning using reinforcement learning. The book also explores how AI can be used to predict heart disease using artificial neural networks. Furthermore, the book underscores how AI predicts crop suitability, manages crop systems, and can even help to detect violence in using computer vision. Chapters highlight specific techniques or systems such as recommendation systems and reinforcement learning where appropriate. Key Features: & Showcases a wide range of AI applications & Bridges theory and practice with real-word insights & Uses accessible language to explain complex AI concepts & Includes references for advanced readers This book is intended as a guide for a broad range of readers who want to learn about AI applications and the profound influence it has on our lives.

This book informs the reader about applications of Artificial Intelligence (AI) and nature-inspired algorithms in different situations. Each chapter in this book is written by topic experts on AI, nature-inspired algorithms and data science.

The basic concepts relevant to these topics are explained, including evolutionary computing (EC), artificial neural networks (ANN), swarm intelligence (SI), and fuzzy systems (FS). Additionally, the book also covers optimization algorithms for data analysis.

The contents include algorithms that can be used in systems designed for plant science research, load balancing, environmental analysis and healthcare.

The goal of the book is to equip the reader - students and data analysts - with the information needed to apply basic AI algorithms to resolve actual problems encountered in a professional environment.

Artificial Intelligence in Business Management is a review of artificial intelligence (AI) applications in businesses. This book adopts a cross-disciplinary strategy toward AI adoption. Book chapters explore many projects that go beyond simple data management and accessibility to showcase the growing role of artificial intelligence and machine learning in the enterprise data space. AI methods for tackling marketing and commercial strategies, as well as the use of AI and machine learning in tourism, insurance and healthcare systems, are discussed. A study on the significance of cultural assets in evaluating risks and protection is also presented. The content gives valuable insights on the application and implications of artificial intelligence and machine learning from this book to readers aiming for corporate roles, such as directors, executives, senior software developers, and digital transformation managers.

The book is an essential resource for researchers and professionals in business, economics, and allied disciplines.

Artificial Intelligence: A Multidisciplinary Approach towards Teaching and Learning explores the evolving role of AI in education, covering applications in fields such as bioinformatics, environmental science, physics, chemistry, economics, and language learning. Written by experts, this book provides a comprehensive overview of AI's integration into diverse subjects, offering insights into the future of AI in education and its potential to enhance academic research and pedagogy.

Targeted at faculty, students, and professionals, the book addresses AI's role in blended learning environments and offers practical tools for educators seeking to incorporate AI into their teaching practices.

Key Features:

- Multidisciplinary exploration of AI in teaching and learning.

- Practical tools and methodologies for educators.

- Insights into AI-driven innovations in research.

- Relevant to a broad audience, from students to professionals.

Artificial Intelligence: Unleashing the Future builds a robust conceptual framework on artificial intelligence and machine learning before diving into practical applications.

Beginning with a historical overview and foundational techniques in machine learning and deep learning the book's chapters explore the deployment of AI in agriculture through smart irrigation, plant disease detection, and robotic farming; in cybersecurity via intelligent threat detection and defense tools; in healthcare through diagnostic AI, robotic surgery, and telemedicine; and in education by enabling personalized learning and adaptive technologies. Ethical, regulatory, and privacy concerns are also thoughtfully addressed, ensuring readers grasp both the opportunities and the complexities of AI integration.

Key Features

• Trace AI's evolution and emerging architectures

• Apply machine learning across real-world sectors

• Explore sector-specific case studies and implementations

• Understand ethical, legal, and data privacy issues

• Gain insights into future trends in AI deployment.

Radon is a highly radioactive gas and a waste product of nuclear reactors. Radon is also carcinogenic for this reason and can be linked to the incidence of lung cancer in non smoking individuals who often spend time indoors. Assessment and Mitigation of Indoor Radon Problem is a case book for professionals who are interested in modeling the distribution of Radon gas in a real environment. The book is a collection of results taken from a survey of locations in the US state of Ohio. The data in this case book is based is based on the homes and mitigation databases of the Ohio Radon Information System (ORIS), maintained by the Air Pollution Research Group (APRG) at The University of Toledo in Toledo.

This case book will be of interest to software engineers and environmental health workers seeking to build a geographic information system for tracking radioactive waste that can contaminate residential areas, particularly household indoors.

Astrobiology refers to the study of the origin, evolution, distribution, and future of life in the universe. This encompasses extraterrestrial life and life on Earth. Astrobiology is an interdisciplinary field that is gaining a rapidly growing interest among both the general public and the astronomical research community. This e-book explains the detection and evolution of exoplanets and discusses the question of habitability on such objects. Chapters in this text include cited references enabling the reader to acquire more information on specific aspects of astrobiology. It is also a suitable textbook for introductory taught courses in universities and colleges on the subject.

This e-book is a collection of chapters on practical and theoretical aspects of atmospheric flows over flat and complex terrain, with applications to air pollution and wind energy.

It is divided into two main sections: the first section deals with atmospheric dynamics, and the second section explains the planetary boundary-layer parameterization that is a key issue for the definition of initial wind flow fields in meteorological and prognostic estimation of turbulence - "Ensemble Nowcasting" for short term prediction.

The e-book is unique in that it features a combination of theoretical, analytical and numerical techniques, and tools where the techniques presented in the e-book are demonstrated and can be replicated by the reader. These practical tools can be used to easily test selected mathematical formulation or for performing a swift sensitivity analysis. The tools presented in this reference work focus primarily on mixing height evaluation, representative day identification and PBL characterization by elementary measurements evaluated at surface level.

This e-book should be a valuable reference for readers interested in the meteorology of atmospheric wind flows.

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.

Neuro-oncology is an embryonic field of cancer research with a number of clinical trials in progress. However, the prognosis on neuro-oncologic patients has remained poor. Moreover, several small scale phase I/II trials performed have proved to be inconclusive because of the limited number of patients involved. As a result, many controversies exist in neuro-oncology drug development for which a forum does not exist. This ebook presents a detailed account on the use of avastin in treating cancer patients. A discussion on clinical experiences and the controversial debate among researchers of avastin's role in restricting malignant gliomas is also included giving readers a diverse perspective on the rationale of treating CNS tumors.

Bacterial Nanocellulose for Papermaking and Packaging explores the groundbreaking potential of bacterial nanocellulose (BNC) in the papermaking and packaging industries. It provides an in-depth overview of BNC`s unique properties, biosynthesis, and scalable production methods, highlighting its role as a sustainable, high-performance biomaterial. Special emphasis is placed on its applications, such as enhancing paper durability, fire resistance, barrier properties, and creating specialized paper products.

Key Features:

- Comprehensive analysis of BNC`s production methods, from lab-scale to industrial scale.

- Insights into BNC`s transformative applications in papermaking, including as a reinforcing agent and coating material.

- Exploration of BNC`s potential in developing advanced packaging solutions.

- Discussion on challenges and future perspectives for sustainable and cost-effective BNC production.

Basic Biology and Clinical Aspects of Inflammation provides information about the critical cells and biochemical mediators involved in the complex process of inflammation. Readers are introduced to the basic scientific background on the subject, after which the book progresses towards translational research in clinical settings. Topics covered in this volume include, the modulation of inflammation during normal and chronic wound healing, altered metabolism during inflammation processes, the effect of ageing on inflammatory processes, as well as details about the underlying molecular processes behind specific clinical pathologies that are driven by excessive inflammation in the body (allergic reactions, type 2 diabetes, cardiac and vascular disease, arthritis, periodontal disease, inflammatory bowel disease and neuroinflammation). The volume also provides the latest information on pharmacotherapy for inflammation and interesting contributions towards the mathematical modeling and network analysis of inflammation. Basic Biology and Clinical Aspects of Inflammation features contributions from by a distinguished group of international researchers and clinicians highly recognized for their specific expertise in the field of inflammation. The information presented in this reference is useful to academics, medical professionals, health care regulators and pharmaceutical scientists.

Basics of Python Programming: A Quick Guide for Beginners is an essential companion to mastering the Python programming language. The book presents information about Python in 12 structured chapters with a strong emphasis on fundamentals and practical information. Starting with basic operators, functions and expressions, contents explain file handling, exception handling and modules. The book concludes with advanced topics such as object oriented programming and machine learning. Key Features: Fundamental Focus: Covers the core concepts of Python programming to build a strong foundation in python programming in an easy-to-understand format. Practical Demonstrations: Learn by doing. This textbook includes hands-on practical demonstrations that reinforce your understanding of Python concepts. IDE Guidance: Includes programming and installation guidance for Python-supporting Integrated Development Environments (IDEs). Explores Python Frameworks: Introduces Python frameworks such as Matplotlib, TensorFlow, PyTorch, Scikit-Learn, and NLTK for complex projects. Python for Machine Learning: Gives a preliminary understanding of Python for machine learning tasks for data science and AI applications. Basics of Python Programming: A Quick Guide for Beginners is the perfect starting point for aspiring students, programmers and tech enthusiasts. Whether you're a student looking to build a solid foundation in Python or an industry professional venturing into machine learning and artificial intelligence, this textbook has you covered.

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..

Beyond Blockchain: Reviewing the Impact and Evolution of Decentralized Networks (Part 2) continues the journey into the rapidly evolving world of blockchain and decentralized technologies. Building on the foundations laid in Part 1, this volume delves deeper into advanced applications such as decentralized finance (DeFi), decentralized identity systems, blockchain governance, and cross-chain interoperability. It also explores the future role of Web3, token economies, and data ownership in reshaping digital ecosystems.

Designed for clarity and accessibility, the book simplifies complex ideas, enabling non-technical readers to grasp the broader implications of decentralization and its growing impact on business, governance, and daily life.

Key Features:

Explains DeFi, DAOs, and decentralized identity with clarity

Explores cross-chain interoperability and next-gen blockchain tools

Highlights blockchain's role in shaping Web3 and digital governance

Examines ethical implications and future regulatory landscapes

Continuation of real-world case studies and thematic insights

Building upon the foundational knowledge presented in Part 1, Beyond the Microscope: Nanotechnology's Impact on Our World – Part 2 explores the expanding real-world applications, regulatory considerations, and ethical implications of nanotechnology across diverse sectors.

Key themes include the integration of nanomaterials in biomedical technologies, their role in sustainable agriculture and environmental remediation, as well as the development of smart materials. The book also critically examines issues surrounding toxicity, lifecycle assessments, governance frameworks, and the societal impact of emerging nanotechnologies.

Chapters cover areas such as nanocarriers for drug delivery, nano-enabled food and water safety solutions, nanostructured materials for energy systems, conservation science, public perception, and policy development—offering both depth and interdisciplinary insight.

Key Features:

Explores advanced applications through up-to-date case studies

Examines cross-sectoral impacts of nanotechnology on public health, energy, and sustainability

Analyzes regulatory frameworks and safety protocols in nanomaterial usage

Investigates ethical, legal, and societal issues shaping nanotech development

Illustrates practical uses with visuals and applied research examples

Presents future outlooks and innovation trends in global nanoscience

Big Data is playing a vital role in HCI projects across a range of industries: healthcare, cybersecurity, forensics, education, business organizations, and scientific research. Big data analytics requires advanced tools and techniques to store, process and analyze the huge volume of data. Working on HCI projects requires specific skill sets to implement IT solutions. Big Data Analytics for Human-Computer Interactions: A New Era of Computation is a comprehensive guide that discusses the evolution of Big Data in Human Computer Interaction from promise to reality. This book provides an introduction to Big Data and HCI, followed by an overview of the state-of-the-art algorithms for processing big data, Subsequent chapters also explain the characteristics, applications, opportunities and challenges of big data systems, by describing theoretical, practical, and simulation concepts of computational intelligence and big data analytics used in designing HIC systems. The book also presents solutions for analyzing complex patterns in user data and improving productivity. Readers will be able to understand the technology that drives big data solutions in HCI projects and understand its capacity in transforming an organization.The book also helps the reader to understand HCI system design and explains how to evaluate an application portfolio that can be used when selecting pilot projects. This book is a resource for researchers, students, and professionals interested in the fields of HCI, artificial intelligence, data analytics, and computer engineering.

Nature has provided opportunities for scientists to observe patterns in biomaterials which can be imitated when designing construction materials. Materials designed with natural elements can be robust and environment friendly at the same time. Advances in our understanding of biology and materials science coupled with the extensive observation of nature have stimulated the search for better accommodation/compression of materials and the higher organization/reduction of mechanical stress in man-made structures.

Bio-Inspired Materials is a collection of topics that explore frontiers in 3 sections of bio-inspired design: (i) bionics design, (ii) bio-inspired construction, and (iii) bio-materials. Chapters in each section address the most recent advances in our knowledge about the desired and expected relationship between humans and nature and its use in bio-inspired buildings. Readers will also be introduced to new concepts relevant to bionics, biomimicry, and biomimetics.

Section (i) presents research concepts based on information gained from the direct observation of nature and its applications for human living.

Section (ii) is devoted to ‘artificial construction’ of the Earth. This section addresses issues on geopolymers, materials that resemble the structure of soils and natural rocks; procedures that reduce damage caused by earthquakes in natural construction, the development of products from vegetable resins and construction principles using bamboo.

The last section takes a look into the future towards the improvement of human living conditions.

Bio-Inspired Materials offers readers - having a background in architecture, civil engineering and systems biology - a new perspective about sustainable building which is a key part of addressing the environmental concerns of current times.

Bioactive Compounds Targeting Neurodegenerative Diseases explores the therapeutic potential of natural bioactive compounds in preventing and managing neurodegenerative disorders such as Alzheimer's, Parkinson's, and Huntington's disease. The book integrates insights from neuroscience, pharmacognosy, and nanotechnology to highlight innovative strategies for drug delivery and treatment. Chapters cover plant-based bioactives, advanced nano-carriers, intranasal administration, and blood-brain barrier targeting. It also discusses clinical approaches, current treatment challenges, and intellectual property considerations.

Key Features:

- Comprehensive overview of natural bioactive compounds in neurodegenerative therapy.

- Coverage of phytochemicals, nano-delivery systems, and intranasal administration.

- Insights into the blood-brain barrier and clinical management strategies.

- Discussion on current therapies and intellectual property issues.