Bentham Science Publishers

• Cancer Stem Cells
• Embryonic Stem Cells
• Pluripotent Stem Cells
• Regenerative Medicine
• Tissue-Specific Stem Cells
• Stem Cell Technology: Epigenetics, Genomics, Proteomics, and Metabonomics

• Biomedical imaging & biomechanics
• Clinical applications of endoscopy to improve patient care and outcomes
• Clinical trials illustrating the use of endoscopic surgery techniques
• Conceptual and structural characterization of endoscopic systems
• Imaging & visualization of diseases and clinical entities
• Methodologies & preclinical and clinical applications of endoscopy
• Novel techniques & approaches for the advancement of endoscopy
• Translational research with technology transfer applications in endoscopy

Menopause is a significant event in a woman's life as is generally considered as an indicator for senescence in women. Evidence suggests that menopause results in many psychological and postmenopausal health problems, such as anxiety, osteoporosis, cardiovascular disease, metabolic disorder and others. Menopausal symptoms and associated disorders are of great importance for public health as they influence the quality of life of affected individuals. Therefore proper management of menopause will definitely contribute to healthy aging and the overall well-being of women.

This e-book reviews recent progress in the research and management of menopause and associated health problems. It provides comprehensive coverage of both clinical aspects and basic research of menopause. Topics covered in this e-book include research findings about risk factors for complex medical conditions associated with menopause along with the treatment options for these conditions, with particular emphasis on hormone replacement therapy (HRT). These conditions include osteoporosis, dementia, cardiovascular diseases, obesity and diabetes mellitus.

Subsequent chapters detail on common oncological malignancies post menopause. The e-book concludes with a review of HRT treatment including its advantages and disadvantages followed by a review on risk factors, causes and complications of premature menopause occurring in women before an age of 40 years.

This e-book is a valuable guide for medical researchers and gynecological professionals with a focus on the pathophysiology and treatment of this medical condition.

With renal dysfunction affecting millions worldwide, this book presents a timely and integrative look at emerging insights—from molecular foundations to clinical management. It explores the intricate mechanisms, systemic impact, and clinical complexities of kidney diseases in a multidisciplinary context.

Spanning a broad spectrum of conditions, the book addresses renal tubular acidosis, polycystic kidney disease, renal lithiasis, diabetic kidney disease, and sodium imbalance–linked hypertension. Chapters delve into nephrotoxicity, loss of cellular identity in renal carcinoma, epigenetics, dysbiosis, and the evolving role of SGLT2 inhibitors. The book also highlights innovative approaches such as stem cell therapy and the systemic immune interactions that underlie chronic kidney injury.

Key Features:

Examines genetic and epigenetic underpinnings of renal disease

Explores microbiota and immune system crosstalk in kidney pathology

Discusses both acute and chronic conditions with clinical relevance

Integrates foundational science with translational perspectives

Includes emerging therapies and precision medicine approaches

Despite an increase in life expectancy over the past 20 years, the number of novel, multi-drug resistant microorganisms has also risen dramatically. To reduce the risk of reemerging infections, and limit the spread of multidrug resistant microorganisms, it is urgently necessary to develop safe and effective therapeutic countermeasures. New antimicrobial chemicals are mostly produced with the help of microorganisms, and the bulk of medications now on the market are of this type. The use of high therapeutic screening and recent developments in analytical instrumentation has allowed the researchers to identify novel antimicrobial compounds from bacteria, fungi, plants, mushrooms, algae, and other sources more quickly. The second volume of Frontiers in Antimicrobial Agents highlights the ongoing requirement for researching and creating novel antimicrobial medications. Current Trends in the Identification and Development of Antimicrobial Agents aims to bring together the expertise of notable academics to examine all facets of antimicrobial research while keeping recent advancements in perspective. Antibiotic discovery, sources of novel antimicrobial chemicals, developing and reemerging microbial infections, various elements of drug resistance, and the need for antimicrobial medications in the future are all covered in this book. It is a timely reference for anyone involved in the discovery and development of new drugs, including microbiologists, biotechnologists, pharmacologists, doctors, and researchers.

Biomaterials created from innovative glass and bioceramic research are emerging as a precursor to several developments useful for solving a wide variety of industry and health related issues. Current Trends on Glass and Ceramic Materials is a review on the latest developments in glass and ceramic materials for technological applications along with biomedical applications in vivo. The volume serves as a useful reference to readers interested in learning about this area of materials science and its multidisciplinary array of applications

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.