Bentham Science Publishers

The book gives a comprehensive overview of the evolving landscape of cyber-physical systems (CPS) with a primary focus on security challenges and innovative solutions. CPS, encompassing a wide array of applications from e-Health to smart grid and industry automation, is explored in depth through eight edited reviews.

The book starts with an exploration of various threat detection and prevention techniques in IoT environments, followed by discussions on security in smart grid cyber-physical systems, and the integration of cyber-physical systems with game theory. It also covers important topics such as cyber-physical systems in healthcare, augmented reality challenges, network and computer forensic frameworks, and a review of industrial critical infrastructure perspectives.

The journey from traditional data warehouses to data lakes is thoroughly examined, shedding light on the evolution of data storage methods. The final chapter explains intrusion detection in industrial critical infrastructure, reviewing feature selection and classification models. By navigating through these topics, the book equips readers with a comprehensive understanding of cybersecurity challenges and solutions in an era of automation and IoT technologies.

This book is intended for a diverse readership, including professionals, researchers, and technology enthusiasts keen on exploring the intricacies of CPS, IoT security, data storage evolution, and industrial infrastructure protection.

Key Features:

-Analytical insights into cyber-physical systems security.

-Thorough exploration of threat detection and prevention techniques.

-Application-focused chapters covering smart grid, healthcare, and more.

-Integration of game theory and augmented reality in cyber-physical systems.

-Comprehensive overview on network and computer forensic frameworks.

DFT-Based Studies On Atomic Clusters explores the structures, properties, and applications of a variety of atomic clusters using density functional theory (DFT) methods to offer a simple and comprehensive explanation of the subject.

The book is organized into seven chapters. Chapter 1 introduces atomic clusters and provides a quick survey of density functional theory and its role in the study of atomic clusters. Chapter 2 discusses the optimization of atomic clusters using various algorithms. Chapters 3, 4, and 5 cover the applications of DFT methods on chemical interactions involving metal complexes and ions. Chapter 6 is devoted exclusively to molecular clusters for completeness. Chapter 7 concludes the book and provides a perspective on future directions on the subject.

Theoretical and practical concepts of DFT methods of the book are systematically and concisely presented with the help of clear language. Several illustrations in the form of graphics and tables are included for the benefit of readers.

This reference is intended as a guide for advanced graduate and doctorate level scholars, postdoctoral researchers, and faculty members who are required to understand the application of density functional theory for explaining the properties of atomic clusters as part of foundational coursework or supplementary reading.

Data Analytics and Artificial Intelligence for Predictive Maintenance in Industry 4.0 unites data science, machine learning, IIOT, and AI to enable predictive and prescriptive maintenance across manufacturing, energy, transportation, agriculture, and healthcare. With contributions from leading academics and practitioners, the book bridges foundational principles with cutting-edge industrial case studies ranging from digital twins and anomaly detection to federated learning and secure healthcare analytics.

Key Features

Explains fundamental concepts of data analytics, AI, and machine learning for predictive maintenance.

Integrates IIoT, digital twins, federated learning, and blockchain into industrial maintenance strategies.

Demonstrates real-world applications across manufacturing, energy, healthcare, and agriculture sectors.

Analyzes optimization techniques, anomaly detection, condition monitoring, and RUL prediction models.

Addresses security and ethical issues, including hardware protection and homomorphic encryption for healthcare.

Maps future trends and emerging technologies driving predictive maintenance research.

Data Recovery Techniques for Computer Forensics is a practical and comprehensive reference designed for professionals, students, and researchers in digital forensics, data recovery, and information security. This handbook provides clear, structured guidance on essential principles and practical techniques for recovering lost or compromised digital data in forensic investigations.

The book begins with the fundamentals of data recovery and examines the major causes of data loss, including software errors and hardware failures. It then explores contemporary data protection technologies and delves into the structure and organization of hard disks, laying a solid foundation for understanding data storage systems.

Specialized chapters cover the recovery and management of various file systems, including FAT16, FAT32, and NTFS, along with methods for partition recovery and an introduction to dynamic disk management. The final section introduces essential data security software used to protect and recover digital information.

Key Features

Covers basic and applied data recovery concepts for forensic applications

Explains causes of data loss and modern data protection technologies

Detailed chapters on hard disk structure, data organization, and partition recovery

Practical guidance on managing and recovering FAT16, FAT32, and NTFS file systems

Introduces dynamic disk configurations and essential data security tools

Data Science for Agricultural Innovation and Productivity explores the transformation of agriculture through data-driven practices. This comprehensive book delves into the intersection of data science and farming, offering insights into the potential of big data analytics, machine learning, and IoT integration. Readers will find a wide range of topics covered in 10 chapters, including smart farming, AI applications, hydroponics, and robotics. Expert contributors, including researchers, practitioners, and academics in the fields of data science and agriculture, share their knowledge to provide readers with up-to-date insights and practical applications. The interdisciplinary emphasis of the book gives a well-rounded view of the subject. With real-world examples and case studies, this book demonstrates how data science is being successfully applied in agriculture, inspiring readers to explore new possibilities and contribute to the ongoing transformation of the agricultural sector. Sustainability and future outlook are the key themes, as the book explores how data science can promote environmentally conscious agricultural practices while addressing global food security concerns. Key Features: - Focus on data-driven agricultural practices - Comprehensive coverage of modern farming topics with an interdisciplinary perspective - Expert insights - Sustainability and future outlook -Highlights practical applications Data Science for Agricultural Innovation and Productivity is an essential resource for researchers, data scientists, farmers, agricultural technologists, students, educators, and anyone with an interest in the future of farming through data-driven agriculture.

Decolorization by Thanatephorus cucumeris Dec 1 explores the innovative use of the newly isolated fungal strain Dec1 in the biodegradation of recalcitrant colored substances produced by various industries. The book details the purification and characterization of key enzymes responsible for Dec1's activity, including peroxidases, aryl alcohol oxidase, and the newly discovered TcVP1. It highlights the successful cloning and high-yield production of recombinant DyP (rDyP) through a transformed Aspergillus oryzae, as well as the development of an optimized immobilization and H2O2 supply system to prevent rDyP inactivation.

The application of Thanatephorus cucumeris Dec 1 in treating kraft pulp bleaching effluent is discussed, demonstrating its effectiveness in removing colored substances and chlorinated organic compounds. This book is an essential resource for students tackling environmental challenges and engineers focused on innovative microbial solutions for the treatment of colored industrial effluents.

This book is a detailed reference guide on deep learning and its applications. It aims to provide a basic understanding of deep learning and its different architectures that are applied to process images, speech, and natural language. It explains basic concepts and many modern use cases through fifteen chapters contributed by computer science academics and researchers. By the end of the book, the reader will become familiar with different deep learning approaches and models, and understand how to implement various deep learning algorithms using multiple frameworks and libraries. The second part is dedicated to sentiment analysis using deep learning and machine learning techniques. This book section covers the experimentation and application of deep learning techniques and architectures in real-world applications. It details the salient approaches, issues, and challenges in building ethically aligned machines. An approach inspired by traditional Eastern thought and wisdom is also presented. The final part covers artificial intelligence approaches used to explain the machine learning models that enhance transparency for the benefit of users. A review and detailed description of the use of knowledge graphs in generating explanations for black-box recommender systems and a review of ethical system design and a model for sustainable education is included in this section. An additional chapter demonstrates how a semi-supervised machine-learning technique can be used for cryptocurrency portfolio management. The book is a timely reference for academicians, professionals, researchers and students at engineering and medical institutions working on artificial intelligence applications.

The management of COVID-19 is challenging due to the lack of clear information about the Sars-Cov2 and recommendations for specific treatment regimens. The scale of the pandemic has also exacerbated the situation, with health care systems under stress from the high volume of COVID-19 patients.

In Demystifying COVID-19: Understanding the Disease, Its Diagnosis, and Treatment, medical experts explain many aspects about the COVID-19 pandemic, including guidelines to minimize risk of infection, diagnostic methods, treatment, real scenarios in the course of the disease and issues that need attention in specific patient groups. The book equips both general readers and healthcare professionals with key information required to understand COVID-19 and navigate a situation typical to a pandemic. Public health officials who wish to mobilize awareness campaigns for the benefit of the general public can also find value in the comprehensive information presented in this reference.

Demystifying Emerging Trends in Machine Learning (Volume 2) offers a deep dive into emerging and trending topics in the field of machine learning (ML). This edited volume showcases several machine learning methods for a variety of tasks. A key focus of this volume is the application of text classification for cybersecurity, E-commerce, sentiment analysis, public health and web content analysis.

The 49 chapters highlight a wide variety of machine learning methods including SVNs, K-Means Clustering, CNNs, DCNNs, among others. Each chapter includes accessible information through summaries, discussions and reference lists. This comprehensive volume is essential for students, researchers, and professionals eager to understand the emerging trends reshaping machine learning today.

Depression is considered as a complex problem with potentially serious economic consequences for affected individuals as well as public healthcare systems. There is much debate among laypersons, patients, academics and clinicians about the causes of depression, its clinical significance and the effect of conventional medical interventions such as antidepressants. This monograph showcases some aspects of depression through specific reviews on some of the intricacies behind its mechanism. The book includes five reviews on the subject, covering the significance of depression in patient well-being, an update on P300 wave findings and the link with clinical depression, the genomics behind depression, the effects of ageing on the onset of depression in stroke patients, and tensor imaging techniques used in studies on patients exhibiting suicidal behaviors as a result of major depressive disorder.

This reference provides useful updates for healthcare workers, neuroscientists and behavioral scientists interested in basic research on depression and in planning to develop methods to study depression in either a clinical or laboratory setting

This book is an essential guide to analysis and design of tall buildings and foundations. The book covers the basic consideration of tall buildings, selection of a suitable structural form, structural materials, and analytical methods for several types of construction loadings. The last chapter of this book presents an illustrated case study for learners. An appendix of different structural analysis calculations rounds up the book. The detailed analysis and learning material presented in the book is intended to enable readers to master the basics and understand how to execute practical civil engineering projects.

Key features:

- Covers the essentials of skyscraper design and construction in detail with a focus on learning.

- Covers building modelling parameters and criteria with design reports and computer inputs.

- Includes analysis and notes for foundation layout, loadings and the excavation and lateral support system (ELS).

- Includes more than 250 detailed illustrations of concepts, construction plans and photos from real projects.

- Includes references and appendices for advanced readers.

- Includes more details than most of the similar texts, with practical guidelines based on references from many buildings and foundation projects.

The authors have extensive research and practical experience of buildings and foundation analysis and design in Hong Kong, and have actively served as regional engineering committee members overseeing structural and foundation disciplines.

Titanium and its alloys have been widely used as biomedical implant materials due to their low density, good mechanical properties, superior corrosion resistance and biocompatibility when compared with other metallic biomaterials such as Co–Cr alloys and stainless steels. Recently, β-type titanium alloys have been increasingly considered as excellent implant materials because of the remarkable combination of high strength-to-weight ratio, good fatigue resistance, relatively low Young's modulus, good biocompatibility and high corrosion resistance relative to conventional titanium biomaterials.

This book covers recent information about biomedical titanium alloy development and 3D printing. Chapters describe the processing, microstructure, mechanical properties and corrosion properties in detail. Information about the surface modification of titanium alloys for biomedical applications, and manufacturing of titanium alloys by new technologies (such as selective laser melting and electron beam melting), is also presented. Readers will learn about the various types of biomedical titanium alloys, their advantages and disadvantages, their fabrication methods and medical applications.

This book is a useful handbook for biomedical engineers, metallurgists and biotechnicians seeking information about titanium-based alloys for biomaterials research and development.

Diabesity refers to the linkage of both diabetes and obesity that results in the coexistence of these 2 conditions. Research has identified pathophysiological mechanisms revolving around insulin resistance and hyperinsulinemia. Diabesity has important diagnostic and therapeutic implications.

This book is a multidisciplinary review of diabesity. It highlights the various pharmacological methods of managing the condition.

The book presents 10 chapters contributed by more than 40 experts from around the world. The review starts with an overview of diabesity and progressively describes the relationships of diabesity with the choice of diets and psychological factors. The chapters then cover the role of adipokines as therapeutic biomarkers before presenting research on medicinal and nutritional approaches to treat the condition.

Modern approaches to diabesity treatment such as the use of new bioactive phytochemicals, mitigating meta-inflammation and laboratory techniques are also reviewed in the book.

Diabesity: A Multidisciplinary Approach is a timely reference for clinicians (in endocrinology and family medicine subspecialties) and students of pharmacology and medicinal chemistry on the intricate relationship between diabetes and obesity.

Diabetes and the Eye familiarizes the reader with the relationship between diabetes mellitus and the visual system. It presents a discussion about the diabetes epidemic and the many ways the disease can cause vision loss, with several types of vision disorders covered in separate chapters. Information about new frontiers in the treatment of ophthalmic disorders is also presented to reflect the advances being made in the clinic.

Key features:

- presents detailed coverage of vision loss in diabetes in 12 organized and easy to read chapters

- includes a discussion on the diabetes epidemic

- covers a wide range of vision disorders, of different parts of the eye

- includes information on current practices in eye care and management for diabetic patients

- includes information about relevant diagnostic tools

This book serves as a useful handbook for medical students, residents in ophthalmology, community and academic ophthalmologists, as well as members of the internal medicine and family practice communities.

Diagnosis and Management of Fetal Disorders reviews key points in obstetrics/maternal fetal medicine imagery analysis of the pregnant uterus and its contents. Specifically, chapters cover ultrasound of different fetal organs, physiological systems and diseases. The authors also provide radiological correlation to help the obstetrician, pediatrician, radiologist, and other specialists know the basics and some more advanced concepts that will allow diagnosis of fetal abnormality, and what those findings mean to the patient and their families vis-a-vis the fetus in their pregnancy. It is ,therefore, a handbook that helps medical residents and professionals to assess cases in real-time or to review a given clinical problem. Key Features - 13 structured chapters covering key topics related to the ultrasound of different fetal organs, physiological systems and diseases - Evidence-based presentation through detailed images and references - Portability and practical information on general and differential diagnostics to consider in fetal and uterine examinations. - Useful information for medical and genetic counseling affected mothers and couples The book is intended for a broad readership in medicine including medical students, specialty trainees and attending physicians in obstetrics, pediatrics, radiology, and subspecialty trainees in maternal fetal medicine, neonatology, ultrasound imaging. Medical professionals in allied fields including sonography, family practice, and genetic counseling will also benefit from the information presented in the book.

This 3 volume set offers a comprehensive compilation which presents detailed information about ophthalmic (retinal, vitreous and macular) diseases. Key features of this set include:

o Emphasis on practical features of clinical diagnosis

o Concise and didactic presentation of key manifestations of diseases designed for rapid reference and target recall

o A vast selection of illustrations to sharpen clinical problem-solving skills

o Step by step treatment approaches to enhance the reader's ability to handle medical cases

o Citations or relevant research articles in each chapter for further reading

The second volume of this set covers several choroid and retinal disorders including, commotio retinae, choroidal rupture and macular trauma, retinal breaks and detachment, and a variety of congenital / genetic eye diseases such as Best’s disease and Stargardt disease. Written by a group of retina specialists, this book is an excellent resource for knowledge about retinal disorders. The streamlined format and evidence based medicine presented in the volume make this book the perfect reference for medical students, residents, general ophthalmologists and retina specialists.

This E-book provides the reader with a detailed up-to-date review of diagnostic technologies and their role in clinical practice. Chapters are dedicated specifically to describe the role of current technologies in the management of the leading causes of visual impairment such as age-related macular degeneration, diabetic retinopathy, glaucoma, vitreo-retinal disorders, cornea and anterior segment diseases. This E-book will help clinicians to understand and interpret diagnostic tests and critically appraise their performance and limitations. This book is intended for general ophthalmologists and clinicians with a special interest in retinal diseases, glaucoma, anterior segment and cornea. It will also be of interest and value to ophthalmologists in training, scientists, ophthalmic photographers and optometrists.

Digital or ‘virtual’ currencies pose significant challenges for government, financial and legal institutions because of their non-physical nature and their relative anonymity to physical currency. These attributes make this form of exchange extremely volatile and, at the same time, attractive to criminals. Many countries around the world have, therefore issued warnings against the use of digital currencies and have enacted laws to regulate and in some cases, restrict their use among members under their respective jurisdictions.

Digital Currency: An International Legal and Regulatory Compliance Guide serves as a primer for both general and specialized readers, as well as business law and e-commerce teachers and students, to recognize and understand the extensive network of laws and regulations already in place around the world which have a profound impact on the creation, distribution and use of digital currency and blockchain technology. The book is also a compliance guide assisting legal practitioners in the fields of business, law, and technology to develop, implement, manage, and maintain strategies, policies, practices, and procedures to ensure that their activities involving digital currency and blockchain technology comply with a complex set of legal requirements in several jurisdictions. The book addresses both the complex set of existing laws that have a profound impact on digital currencies and blockchain technology, and the emerging new legal requirements directed specifically towards digital currency. Readers will understand the broad implications of laws and regulations on digital currency and blockchain development and its use, and will also be equipped with the knowledge to incorporate these effectively into their professional and personal endeavors. This entails maximizing the value of digital currency and blockchain technology while also minimizing their risk of adverse legal consequences. Additionally, policymakers seeking to enforce current legislations or wishing to draft appropriate new regulations in the digital currency and blockchain economy will also benefit from the information provided in this book.

This collection brings together scholars and practitioners to explore how literature and technology shape spaces of resistance, belonging, and innovation, from LGBTQ+ Insta-poetry and diaspora testimonies to the geopolitics of Palestine/Israel through Indian perspectives

Spanning thirteen chapters this comprehensive study offers a multidimensional view of how digital interventions are reshaping narratives of conflict and community in the region.Contributors explore diverse themes including internet disruptions, emergent versus residual cultures, colonial guilt, digital storytelling, translation in conflict communication, and the use of social networks for language learning.

Key Features

Examines how digital technologies mediate conflict, identity, and literary expression in South Asia.

Maps out intersections between traditional and emergent cultural forms across literature, media, and geopolitics.

Showcases original case studies on LGBTQ+ expression, diaspora narratives, internet disruptions, and digital pedagogy.

Analyzes colonial and postcolonial legacies through new readings of texts and cultural practices.

Offers comparative, interdisciplinary approaches linking literature, digital humanities, and social sciences.

This reference reviews the architectural requirements of IT systems that are designed to digitally transform business operations. It is a compilation of 7 timely reviews that demonstrate how adopting emerging technologies and examining the security-based concerns can lead to innovation in the business sector. The aim of the book is to guide scholars and business consultants on IT and business frameworks that can help new and existing organizations navigate the challenges posed by disruptive technologies to create a competitive advantage. The reviews are contributed by experts in business and information technology.

The chapters cover diverse topics related to technological advancements and digital security measures. Chapter 1 offers insights into accessing and securing patient medical records through a blockchain-based framework, detailing research methodology, scalability, and standards. Chapter 2 discusses cyber threats in IoT-connected cars, addressing vulnerabilities, attack methods, and defense strategies. Chapter 3 focuses on malware analysis and detection using machine learning techniques. Chapter 4 emphasizes on securing IoT-based home automation. Chapter 5 presents an IoT policy and governance reference architecture to ensure integrity and security across devices. Chapter 6 explores organizational security improvements to prevent deepfake ransomware. Finally, Chapter 7 examines the use of machine learning in credit card fraud detection, discussing challenges and control layers.

This 2 volume set aims to shed light on the various advantages and drawbacks of the same along with the opportunities and markets that are emerging because of digital transformation. This volume encompasses diverse perspectives on the digital landscape for Small and Medium Enterprises (SMEs). It delves into the use of digital tools like Big Data, IoT, AI, and ML in Chapter 1, followed by an exploration of factors influencing online shopping adoption in SMEs in Ghana (Chapter 2). Chapter 3 sheds light on the digital transformation of African SMEs, while Chapter 4 offers insights into the consequences of digitalization for SMEs in Sub-Saharan Africa. The subsequent chapters cover topics such as the impact of Big Data on SMEs' performance, digitization initiatives for African telecom service providers, the role of social media as a promotional tool for SMEs in Ghana, and the utilization of Artificial Intelligence by SMEs in Africa, addressing both benefits and challenges. The chapters provide information for educators at all levels to obtain a complete understanding of the technology-based environment that impacts teaching and commerce. It also serves as a resource for policymakers, entrepreneurs, researchers, and students interested in digital transformation in Africa.

Dimorphism can be defined as the property of different fungal species to grow in the form of budding yeasts or in the form of mycelium, depending on the environmental conditions. Dimorphism may be considered as a differentiative phenomenon, similar to others exhibited by fungi: spore germination, sporulation, etc, but comparatively simple to analyze.

Fungal dimorphism involves extensive changes in the cell physiology and morphology in response to external signals, producing drastic alterations in the cell wall structure and synthesis, whose growth pattern changes from isodiametric (spherical) to polarized or vice versa. Because of this, dimorphism has been the subject of extensive studies as a model for the differentiation processes occurring in eukaryotic organisms.

Additionally, it is important to recall that the most important human pathogenic fungi, and some plant pathogenic ones are dimorphic, displaying different morphologies when growing as saprophytes, or inside their hosts. This observation, and the demonstration that mutants in specific genes that interfere with the dimorphic transition are non-virulent, has suggested that this process might be a target for efficient antimycotic drugs.

This e-book includes several chapters on the most important and studied fungal models, written by specialists, discussing the biology of each species or genera, the general aspects controlling their dimorphic transition, the molecular aspects involved, the use of them as models for understanding the bases of biochemical and cell differentiation, and the importance of dimorphism in pathogenesis.

This e-book is recommended for scholars and researchers working or interested in human, animal and plant pathogenesis, fungal genetics, molecular biology, development, evolution, and differentiation.

Discrete Hilbert-type inequalities including Hilbert's inequality are important in mathematical analysis and its applications. In 1998, the author presented an extension of Hilbert's integral inequality with an independent parameter. In 2004, some new extensions of Hilbert's inequality were presented by introducing two pairs of conjugate exponents and additional independent parameters. Since then, a number of new discrete Hilbert-type inequalities have arisen. In this book, the author explains how to use the way of weight coefficients and introduce specific parameters to build new discrete Hilbert-type inequalities and consider some applications. The book is intended to augment the reader's understanding of Hilbert-type inequalities.

Plant diseases in ornamental, aromatic and medicinal crops are common in occurrence, and account for up to 12-20% yield losses. Diseases of Ornamental, Aromatic and Medicinal Plants is a unique reference aimed to fulfil knowledge gaps on this subject. Nine chapters cover major diseases and nematode problems in important ornamental plants (cut flowers, potted flowers, flowering geophytes, and turfs), medicinal plants (tuberous and non-tuberous) and aromatic plants.

The book explains the etiology, symptoms, disease cycle, economic importance, distribution, and management of respective plants with advanced and sustainable approaches. The book is intended as a key resource for students, botanists and academics in plant science courses. It also serves as a quick guide for horticulture professionals and gardeners dealing with plant diseases and nematode infestations on premises.

Diverse Strategies for Catalytic Reactions is a compelling exploration of catalysis, a cornerstone in chemical sciences that has propelled the evolution of chemical manufacturing at the industrial scale.

Highlighting the distinctive characteristics of catalysis, the book delves into pivotal topics and subfields. It underscores the revolutionary role catalysis plays in novel design, synthesis, and energy-efficient development, while minimizing side products, promoting atom economy, and embracing green chemistry principles. The comprehensive contents of this book include an array of chapters by experts, each addressing a specific catalytic approach, such as recent advances in electrocatalysis, nano-catalysis for selective oxidation, micellar catalysis, green catalysts, and more. Each of the 7 book chapters includes a summary and list of references for a broad range of readers. Readers will understand the range of chemical engineering strategies that are used to speed up reactions and synthesize molecules of interest. With its rich insights and practical applications, this book serves as an invaluable reference for graduate students, researchers, and professionals across academic and industrial domains.