Bentham Science Publishers

Current and Emerging Concepts of Polycystic Ovary Syndrome – Manual from M.P. PCOS Society is a comprehensive and authoritative guide that explores the multifaceted nature of PCOS, redefining the understanding, diagnosis, and management of Polycystic Ovary Syndrome (PCOS).

Drawing upon cross-disciplinary insights and multi-institutional expertise, this two-part series unravels its epidemiology, diagnostic complexities, and phenotypic diversity. It dives deep into hormonal, metabolic, genetic, and environmental dimensions to present an integrated view of the syndrome. It presents PCOS not as a single disorder, but as an evolving clinical spectrum. It serves as both a foundation for clinicians and a catalyst for future research, setting the stage for Volume II, which expands into advanced management and innovative therapeutic paradigms.

Key Features

Examines the global epidemiology, pathophysiology, and heterogeneity of PCOS.

Clarifies diagnostic criteria and phenotypic variations through evidence-based insights.

Explores hormonal, metabolic, genetic, and environmental mechanisms driving PCOS.

Integrates emerging concepts from microbiome science, endocrinology, and mental health.

Highlights the evolving clinical understanding shaped by interdisciplinary collaboration.

This reference describes recent advances and applications of capillary electrophoresis in the field of food science. The first two chapters are devoted to the fundamentals of capillary electrophoresis, and to the main sample preparation techniques used for food analysis using this miniaturized separation technique, respectively. These two introductory chapters are followed by several chapters focused on the different strategies for analyzing specific food components, including lipids, carbohydrates, proteins, peptides, amino acids, vitamins, polyphenols, and food additives.

The information provided in these chapters helps readers to understand and develop appropriate methods to carry out a deep characterization of food samples. Relevant concepts such as food authentication, chemical food safety or the control of the quality and safety of dietary supplements, and food metabolomics are also covered, where appropriate. The big potential of capillary electrophoresis to achieve chiral separations and the determination of enantiomers in food samples or to develop targeted and non-targeted metabolomics strategies to ensure food safety and quality is also described. As an additional step towards analytical miniaturization, a chapter devoted to food analysis by microchip electrophoresis is also included in this book. All 14 chapters are contributed by highly experienced researchers in the field.

Capillary Electrophoresis in Food Analysis is a key source of information for food chemists and analytical chemists in industry (quality control laboratories) and academia (research labs and training courses).

Cancer is a broad group of diseases involving unregulated cell growth with elevated death rates as more people live in old age with mass lifestyle changes occurring in the world. The causes of cancer are diverse, complex, and still only partially understood. The chances of surviving the disease vary remarkably by the type and location of the malignancy and the extent of disease at the start of treatment. Early cancer detection is proving to be a valid approach. Cancer can be detected in a number of ways, including the presence of certain signs and symptoms, screening tests, or medical imaging. Cancer therapy is dynamically changing and revision and change in patient management is constant as our knowledge increases. Cancer is routinely treated with chemotherapy, radiation therapy and surgery. Tailored cancer targeted therapy is becoming an emerging objective of today. In this book, a constructive group of cancer research experts bring the reader their shared vision, to give an extensive and realistic view of individual tumors such as breast, oral, prostate, gastric, and neuroendocrine tumors. New and contemporary terms and concepts in genetics and epigenetics, diet, anticancer treatments, and anticancer drug delivery systems are introduced in this volume. This reference highlights present experimental strategies and key findings that enhance our understanding of cancer and of future therapies. This eBook is aimed at a broad audience of undergraduates, medical students, PhDs, cancer researchers, and also cancer patient families with the goal to conceive a curiosity about the subjects presented that will hopefully lead to further studies.

Cutting-Edge Solutions for Advancing Sustainable Development: Exploring Technological Horizons for Sustainability - Part 2 introduces innovative approaches to achieving sustainability through technological advancements. This comprehensive guide covers critical global challenges such as climate change and resource depletion, emphasizing the transformative role of emerging technologies.

Key Features:

- Detailed exploration of blockchain applications in supply chains and financial services.

- Innovations in HealthTech improving healthcare accessibility and quality.

- Utilization of AI for climate action and precision agriculture.

- Advancements in renewable energy technologies, focusing on solar and wind.

- Societal impacts of AI automation and financial literacy in technologically enhanced learning environments.

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.

The widespread digitalization of all aspects of life, including the disruption caused by the Internet and the invasion by artificial intelligence, necessitates rethinking educational transformation processes. The broader purpose of the digital transformation of education is to develop an effective educational system that fits the needs of the digital economy and guarantees easy access to information for stakeholders in this sector.

Digital Transformation in Education: Emerging Markets and Opportunities provides a comprehensive understanding of the emergence and evolution of digital technologies and artificial intelligence in the field of education. It presents 12 reviews that shed light on the various advantages and drawbacks of digital technology along with the opportunities and markets that are emerging because of such a digital education transition. Each chapter is written by a group of distinguished contributors and presents a detailed literature review, methodology (where appropriate), discussion and reference list. The book content equips educators at all levels with essential information required to adapt to educational technology in order to improve teaching, student support and learning outcomes.

This book is an informative resource for post-graduate scholars, academics, policymakers, educators, and researchers in pedagogy, learning theory, digital learning, communication and education research.

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.

This book is a comprehensive review of technologies and data in healthcare services. It features a compilation of 10 chapters that inform readers about the recent research and developments in this field. Each chapter focuses on a specific aspect of healthcare services, highlighting the potential impact of technology on enhancing practices and outcomes.

The main features of the book include 1) referenced contributions from healthcare and data analytics experts, 2) a broad range of topics that cover healthcare services, and 3) demonstration of deep learning techniques for specific diseases.

Key topics:

- Federated learning in analysis of sensitive healthcare data while preserving privacy and security.

- Artificial intelligence for 3-D bone image reconstruction.

- Detection of disease severity and creating personalized treatment plans using machine learning and software tools

- Case studies for disease detection methods for different disease and conditions, including dementia, asthma, eye diseases

- Brain-computer interfaces

- Data mining for standardized electronic health records

- Data collection, management, and analysis in epidemiological research

The book is a resource for learners and professionals in healthcare service training programs and health administration departments.

This book explores the transformative impact of the Internet of Things (IoT) on business innovation and marketing strategies. It delves into how IoT is disrupting traditional approaches and creating new opportunities for businesses to thrive in a rapidly evolving technological landscape.

The book begins by introducing IoT in marketing and its role in shaping modern business practices. It discusses how IoT is revolutionizing key aspects of the marketing mix, including product development, pricing strategies, promotion, and distribution channels. Readers will gain insights into how IoT integrates with marketing strategies to enhance customer experiences and improve decision-making through data-driven approaches.

The book also examines IoT`s role in market research and highlights its transformative potential in specialized industries, such as smart manufacturing for fashion firms. By providing practical applications and real-world examples, this guide serves as an essential resource for professionals, researchers, and students seeking to understand IoT`s role in business innovation.

This text describes important considerations for conceptualizing, designing and carrying out qualitative research in community settings. The book covers various research aspects with respect to teaching, learning, practicing and assessing. Readers will gain insights into qualitative methodology as a vital stand-alone approach and find it to be an illuminating supplement to quantitative methodology and a core component of mixed methods studies. Some key questions answered by the book are: What's in it for us? What are collaborations and partnerships? How can knowledge and skills to achieve meaningful outcomes be acquired and applied? How can scientific rigor be achieved? What are the challenges and how can they be resolved? What is ethical? Whose voices and narratives should be portrayed? What is culturally competent qualitative research? Who and what determine assessments? Can qualitative research help sustain community? What happens when the project ends? How can research shape public policy? The e-book should serve as a useful guide for social science and community research students and teachers alike.

Based on six years of extended ethnography in multiple agricultural areas of the Eastern United States, Down Country Lanes, Behind Abandoned Houses is a monograph which explores the lives of migrant and seasonal farm workers. The six-year study secured multi-setting field data in primary, secondary and casual sites, and audio-taped narrative life stories from men and women who harvest and perform the related tasks that help to make the many foods which we enjoy in abundance. The study presented in this book elaborates vignettes from field observations with a focus on workers who use drugs and alcohol, and is complemented by formal (narrative life stories) and informal interviews. The author explores diverse field data that reveal the hardships, exclusion and social adversities that migrant farm workers experience many times more often than any other social group with considerable susceptibility to drug / alcohol use.

Down Country Lanes, Behind Abandoned Houses gives readers a perspective about farm workers’ social vulnerability across multiple agricultural areas, while comparing willful neglect and social non-existence experienced by farm workers to a gray zone of contemporary horrors in the way that these men and women have been viewed and treated over many decades. The monograph is an invaluable reference for the study of social problems, substance abuse, trans-national migratory experiences and field methods in sociology. The book also serves as a contemporary handbook on the anthropology of American agricultural labor.

Drug Addiction Mechanisms in the Brain explores the fascinating world of drug substances and their effects on the brain. This book provides a comprehensive overview of the ten major substances that contribute to drug addiction Information about each substance is presented in a specific chapter, shedding light on their biochemical mechanisms and physiological effects. From the stimulating effects of cocaine to the sedative properties of heroin, and the hallucinogenic experiences induced by LSD, the book takes the reader through the intricate pathways of addiction. Other substances covered in the book include alcohol, nicotine, MDMA, METH, morphine, ketamine, and fentanyl. Readers will gain an understanding about neurochemical alterations in the brain Anyone looking for interesting knowledge about the addictive nature of common drugs and their complex interplay with the brain will find this book informative.

1. Analytical Method and Drug Metabolism
2. Bioavailability and Biopharmacy
3. Cytochrome 450 Drug Metabolism
4. Cytotoxicity
5. Drug Absorption and Disposition
6. Drug Biotransformation
7. Drug Delivery System
8. Drug-Drug Interaction
9. Drug Food Interaction
10. Drug Metabolizing Enzymes
11. Drug Toxicology
12. Drug Transporters
13. Drugs and CYP2D6
14. Factors Affecting Drug Metabolism
15. Hepatic Metabolism of Drugs
16. P-Glycoprotein and Transport Carriers
17. Pharmacokinetics and Pharmacodynamics
18. Phase I and II Drug Metabolism
19. Reactive Metabolites
20. Therapeutic Drug Monitoring
21. Xenobiotics

Drug repurposing is a cost-effective method of discovering new treatments for diseases than traditional drug development methods. It involves virtual screening of chemical candidates with the aid of computational methods like molecular docking. Drug Repurposing against SARS-CoV2 focuses on current trends in drug repurposing against the novel coronavirus strains. The book aims to give readers an overview of drug repurposing against COVID-19 and various techniques involved in the process. The book consolidates available information on the pathophysiology, drug targets, and drug repurposing against COVID-19 into a single, convenient resource. Key features -An up-to-date compilation of the evidence that supports the drug repurposing for COVID-19. -How to use repurposing of available drugs for disease therapy. -Provides an improved understanding of pathophysiology and SARS-CoV2 viral entry pathways. - Provides references for further reading

This book is a concise, straightforward practical guide to the clinical management of patients having drug resistant tuberculosis infections. It covers every aspect of drug resistant tuberculosis, starting from epidemiology and bacteriology to a description of the latest diagnostic tests and a list of tuberculosis drugs. Readers will find clear guidelines for selection and administration of treatment regimens for the different types of drug resistant infections as well as instructions on follow-up procedures for such cases.

The book also includes a series of clinical cases illustrating some of the most frequent problems encountered by doctors while treating drug resistant tuberculosis in a clinical setting.

Drug Resistant Tuberculosis: Practical guide for clinical management is a useful handbook for general practitioners and medical students interested in learning about multi drug resistant tuberculosis and pulmonary care of patients having advanced infections.

"Software Engineering now occupies a central place in the development of technology and in the advancement of the economy. From telecommunications to aerospace and from cash registers to medical imaging, software plays a vital and often decisive role in the successful accomplishment of a variety of projects. The creation of software requires a variety of techniques, tools, and especially, properly skilled engineers. This e-book focuses on core concepts and approaches that have proven useful to the author time and time again on many industry projects over a quarter century of research, development, and teaching. Enduring, lasting, and meaningful concepts, ideas, and methods in software engineering are presented and explained.

The book covers essential topics of the field of software engineering with a focus on practical and commonly used techniques along with advanced topics useful for extending the reader’s knowledge regarding leading edge approaches. Building on the industrial, research, and teaching experiences of the author, a dynamic treatment of the subject is presented incorporating a wide body of published findings and techniques, novel organization of material, original concepts, contributions from specialists, and the clear, concise writing required to keep the attention of readers. Using over 20 years of lecture notes, transcripts, course notes, view graphs, published articles, and other materials, as well as industry experience on commercial software product development a "virtual toolbox" of software techniques are shared in this volume."

Dynamics of Biological Macromolecules by Neutron Scattering provides insight into the study of the dynamics of biological macromolecules by neutron scattering techniques. The applicability of neutron scattering to expanding fields of biological studies is very extended and the neutron scattering community is interested in using these unique technologies to their best advantage. The book is focused on recent scientific results on biomolecular motions obtained by using neutron spectroscopy, and also discusses likely directions of future work on biological macromolecular systems while outlining some challenging, hitherto inaccessible problem areas. The Ebook should be very useful for biophysicists, biochemists, experts and non-experts in neutron scattering.

Sustainability is a major concern when considering the construction of a new building project as there is a definite effect of any construction on its surrounding environment. One tool to measure the environmental impact of projects is the Ecological Footprint (EF). Ecological Footprint Assessment of Building Construction: Spanish Case Study presents the methodology required for the creation of an effective EF assessment of building construction projects with a case study of a Spanish project. The book starts with a detailed overview of the EF indicator for buildings including definitions, methodologies and scale applications. This is followed by chapters on dwelling construction methodology and calculation models for direct (energy and water), indirect (manpower and construction materials) resource consumption and waste in the constructed area. The book concludes with a case study that demonstrates the application of all types of EF indicators mentioned in the previous chapters. The methodology and all steps for each calculation are explained in detail, making the book an applicable reference for working professionals as well as an easy-to-understand guide for graduates undertaking sustainability modules in ecology and civil engineering courses

Economic Periodontal and Implant Dentistry presents a comprehensive approach to periodontal and implant dentistry. It combines basic standard knowledge with updated information about the latest advances in periodontal and implant therapy, while also providing an adequate response to the increasing demands that health, implants and aesthetics are making on the dental community. Key features of this text include:

-a focus on interdisciplinary treatment concepts in periodontics, implant dentistry, and economic healthcare delivery

-new insights gained from research directly linked to clinical applications

-synoptic concepts based on strategies for infection control in diseased periodontal tissues

-text outlined to improve daily patient care in dental practice

The book will renew readers’ understanding of periodontal disease, diagnosis and implant therapy. It is a key reference for dental practitioners and healthcare delivery professionals.

"

This volume investigates the theory of the effect of static electric fields on one-electron states in. nanocylindrical and nanospherical heterolayers and quantized semiconductor films.

Homogeneous external electrostatic field for all these structures has been considered as a "universal" modulating factor. For structures with radial symmetry, a study on the influence of radial static field and the electric field of a charged ring on one-electron states is presented. Chapters focusing on homogeneous field effect on low-dimensional excitonic states in the quantized films and quantum wires - in both wide bandgap and narrowband semiconductors - are also included. Other contents include calculations weak, moderate and strong electric fields, quantum-mechanical approximation and perturbation theory, the quasi-classical approximation (WKB method). Readers will benefit from the varied methodological to the subject which gives them a concrete analytical framework to solve problems related to nanoscale semiconductor design. The reference should prove to be useful to academics and professionals working in semiconductor nanoelectronics research and development.

This e-book presents several research areas of elliptical problems solved by differential equations. The mathematical models explained in this e-book have been contributed by experts in the field and can be applied to a wide range of real life examples. Methods explained include pre-conditioned conjugate grid models, higher order discretization and finite element mesh generation. This e-book should be a useful reference for scholars and professionals interested in elliptical partial differential equations.

Electric Vehicle Technologies: Trends, Control, and Charging Solutions explores the latest innovations transforming electric transportation. This concise and accessible volume presents advances in electric vehicle (EV) systems, focusing on solar energy integration, intelligent motor control, battery charging technologies, and IoT-based applications.

The book is divided into three thematic sections. It begins with solar-powered charging systems and hardware design for sustainable mobility. It then covers power electronics and motor control methods, including BLDC control and adaptive charging frameworks. The final section addresses cutting-edge developments like vehicle-to-grid (V2G) systems and IoT-enabled EV automation.

Key Features:

- Advances in solar EV charging and wireless power transfer.

- Control strategies for EV motors and battery charging.

- Integration of IoT and autonomous systems in EVs.

- Hardware designs for electric bicycles and solar charging stations.

- V2G systems and adaptive power control.

A biosensor is an integrated receptor-transducer device that converts a biological response into an electrical signal. The design and development of biosensors have taken center stage for researchers or scientists in the recent decade owing to the wide range of biosensor applications in healthcare and disease diagnosis, environmental monitoring, water and food quality, and drug delivery. Due to their adaptability, ease of use in relatively complex samples, and portability, the significance of electrochemical biosensors in analytical chemistry has increased manifold. Electrochemistry has been pivotal in developing transduction methods for biological processes and biosensors. In parallel, the explosion of activity in nanoscience and nanotechnology and their huge success have profoundly affected biosensor technology, opening new avenues of research for electrode materials and transduction.

Electrochemical Biosensors in Practice: Material and Methods particularly explores the use of silver and gold nanoparticles for signal amplification, photocurrent transduction, and aptamer design. Therefore, the book serves as an introductory text for those specializing in biosensors and bioelectronics and their practical applications.

Key features

Includes structured information for easy understanding of the subject

Provides an introduction to biosensors and electrochemical biosensor classification

Explains fundamental concepts and practical electrochemistry techniques for research

Provides notes on essential electrochemical sensor materials such as graphene, carbon nanotubes, conductive polymers, and other advanced materials

Provides information about electrochemical biosensor development

Informs readers about recent applications and research findings

Includes references for further reading

Electromagnetics for Engineering Students starts with an introduction to vector analysis and progressive chapters provide readers with information about dielectric materials, electrostatic and magnetostatic fields, as well as wave propagation in different situations. Each chapter is supported by many illustrative examples and solved problems which serve to explain the principles of the topics and enhance the knowledge of students. In addition to the coverage of classical topics in electromagnetics, the book explains advanced concepts and topics such as the application of multi-pole expansion for scalar and vector potentials, an in depth treatment for the topic of the scalar potential including the boundary-value problems in cylindrical and spherical coordinates systems, metamaterials, artificial magnetic conductors and the concept of negative refractive index.

Key features of this textbook include:

• detailed and easy-to follow presentation of mathematical analyses and problems

• a total of 681 problems (162 illustrative examples, 88 solved problems, and 431 end of chapter problems)

• an appendix of mathematical formulae and functions

Electromagnetics for Engineering Students is an ideal textbook for first and second year engineering students who are learning about electromagnetism and related mathematical theorems.

This volume presents information about several topics in the field of electron paramagnetic resonance (EPR) study of carbon-containing nanomaterials. It introduces the reader to an array of experimental and theoretical approaches for the analysis of paramagnetic centers (dangling bonds, interface defects, vacancies, and impurities) usually observed in modern carbon-containing materials such as nanographites, graphene, disordered onion-like carbon nanospheres (DOLCNS), single-walled carbon nanotubes (SWCNTs), multi-walled carbon nanotubes (MWCNT), graphene oxide (GO), reduced graphene oxide (rGO), nanodiamonds, silicon carbonitride (SiCN) and silicon carbide (SiC) based composites and thin films.

In particular, the book describes in detail:

• The fundamentals of EPR spectroscopy and its application to the carbon-containing materials;

• The resolution of the EPR signals from different species in carbon materials;

• EPR characterization of spin dynamics in carbon nanomaterials;

• Magnetic properties of DWCNTs and MWCNTs polymer composites;

• EPR investigations on GO, rGO and CNTs with different chemical functionalities;

• EPR spectroscopy of semiconducting SWCNTs thin films and their transistors;

• In-situ EPR investigations of the oxygenation processes in coal and graphene materials;

• The two-temperature EPR measurement method applied to carbonaceous solids;

• Characterization of impurities in nanodiamonds and SiC nanomaterials and related size effects by CW and pulse EPR techniques;

• Application of multifrequency EPR to the study of paramagnetic defects in a-Si1-xCx:H thin films and a-SiCxNy based composites.

This volume is a useful guide for researchers interested in the EPR study of paramagnetic centers in the carbon-containing thin films, nanomaterials, ceramics, etc. It is also a valuable teaching tool at graduate and postgraduate levels for advanced courses in analytical chemistry, applied sciences and spectroscopy.

Elements Of Clinical Study Design, Biostatistics & Research is designed as a toolbox for biomedical researchers. The book's primary focus is on applications in clinical research, and will benefit students and researchers involved in the biomedical field. This book addresses the problems that many practitioners experience in choosing and implementing fit-for-purpose data analysis methods to answer critical inferential questions for binomial and count data. The book is written in simple language avoiding complex derivations and mathematical formulae allowing it to explain the most basic concepts of research methodology. Making good use of numerous tables, graphs and tips, this book demystifies the process for readers.

7 structured Chapters take the reader through the entire research process: choosing a question, designing a study, collecting the data, using univariate, bivariate, and multivariable analysis, and publishing the results. Each chapter discusses the strengths and weaknesses of the methods and suggests practical recommendations. An appendix on ethical research guidelines, along with a glossary and reference list comprehensively round up the book contents.

It gives students and practitioners a multidisciplinary understanding of the concepts and techniques involved in designing, monitoring, and analyzing various types of studies. The book's balanced set of homework assignments and in-class exercises are appropriate for students and researchers in the areas of biostatistics, epidemiology, medicine, pharmacy, and public health.

This reference provides an update on current therapies to treat neglected diseases, a class of diseases that primarily affect tropical regions where investment in research and development is limited.

The book starts with an introduction to neglected diseases followed by reviews of therapeutic strategies to overcome the impact of neglected diseases. This is followed by updated information for handling leprosy, dengue, lymphatic filariasis, dracunculiasis, helminthiasis, Chagas’ disease, neurocysticercosis, leishmaniasis, rabies, trematodiasis, buruli ulcer and trachoma in 10 focused chapters, respectively. The chapters provide information on disease mechanism, transmission and management protocols, along with scientific references. The book serves as a resource for healthcare professionals, and scholars who need a detailed understanding of these infectious diseases.

This reference distills information about emerging technologies and applications for smart city design and sustainable urban planning. Chapters present technology use-cases that have radical novelty and high scalability with a prominent impact on community living standards. These technologies prepare urban and rural dwellings for the transformation to the smart world.

Applications and techniques highlighted in the book use a combination of artificial intelligence and IoT technologies in areas like transportation, energy, healthcare, education, governance, and manufacturing, to name a few.

The book serves as a learning resource for smart city design and sustainable infrastructure planning. Scholars and professionals who are interested in understanding ways for transforming communities into smart communities can also benefit from the cases presented in the book.

Cultivators and livestock farmers are increasingly arranging innovative technical and scientific estimations with the aim to enhance agricultural sustainability, effectiveness, and plant health. Innovative farming technologies incorporate biology with smart technology (computers and sensor devices) exchanging information with one another autonomously in a structured farm management system.

This book presents reviews on innovative techniques and methodologies to complement conventional plant control and breeding attempts toward enhancing crop yield and production. Reviews covered in this volume include:

-Active compounds from pomegranate seeds

-Application of Enterococci and their bacteriocins for meat biopreservation

-Technological advancement in the detection and identification of plant pathogens

-Machine learning for precision agriculture

-Use of remote sensing technology and geographic information systems for agriculture and

environmental observation

The information presented in this volume will provide helpful updates for students, technology experts and professionals in the food security and sustainable agriculture sectors.