Bentham Science Publishers

This reference book explains the fundamentals of Bose Einstein Condensation (BEC) in excitons and polaritons. It presents five chapters exploring fundamental concepts and recent developments on the subject. Starting with a historical overview of BEC, the book progresses into the origins and behaviors of excitons and polaritons. Chapters also cover the unique thermalization and relaxation kinetics of excitons, and the distinctive features of polaritons, such as lasing, superfluidity, and quantized vortices.

The chapters dedicated to BEC in excitons and polaritons detail experimental techniques, theoretical modeling, recent advancements, and practical applications in a simplified way for beginners. This book serves as a resource for researchers, physicists, and students interested in the phenomena of BEC, providing insights into both the theoretical foundations and the practical implications of excitons and polaritons.

The mathematical modelling of free and moving boundary problems are an important topic in engineering, industry, technology and theoretical sciences. These models allow us to make calculations involved in phase change transitions of materials due to heat transfer.

Boundary layer applications are widespread in research and industry. Boundary Element Methods for Heat Transfer with Phase Change Problems: Theory and Application equips the reader with information about heat transfer problems occurring during phase changes. The book covers several boundary element methods, including methods for phase changes, fixed and moving domains and new approaches. The contents are rounded off with chapters on numerical results and industrial applications.

Key features:

- Simple, didactic presentation of boundary layer problems for heat transfer problems

- Covers a wide range of boundary element methods

- Includes methods for fixed and moving domains

- Explains industrial applications of the methods

- Includes solutions to numerical problems

The book serves as a textbook for students of advanced mathematics and engineering. It is also a handbook for researchers working on numerical analysis, who require a focused volume on boundary element methods for heat transfer applications.

Brain Tumour Drug Development provides a clear, multidisciplinary update on modern therapies for glioblastoma and other aggressive brain tumours. The book focuses on improving drug precision, crossing the blood-brain barrier, identifying biomarkers, designing effective trials, and accelerating translation from research to real patient care.

Key Features

Overcomes the blood-brain barrier using advanced delivery methods

Improves drug penetration & specificity with nano and polymer-based systems

Explores new therapies through immunotherapy, gene therapy, and personalised medicine

Builds preclinical models & identifies biomarkers to support clinical success

Designs regulatory-aligned clinical trial strategies for faster translation

Brain Tumor Targeting Drug Delivery Systems: Advanced Nanoscience for Theranostics Applications is a comprehensive reference focused on the latest advancements in nanotechnology for brain tumor therapy. With practical insights and cutting-edge research, this book equips readers with the knowledge to develop innovative drug delivery systems for effective brain tumor diagnosis and treatment. Structured into insightful chapters, this book covers the anatomy, physiology, and pathophysiology of the brain, addressing barriers to targeted drug delivery strategies. Chapters explore theranostics-based delivery systems, including polymeric nanoparticles, liposomes, dendrimers, nanoemulsions, micelles, and inorganic nanoparticles, for precise brain tumor diagnosis and treatment. This informative resource is designed for students and research scholars in pharmacology, pharmaceutical industry scientists, professors, and clinical medicine researchers. With comprehensive chapters and references for further reading, this book facilitates easy understanding of the intricate nanomedical technology, empowering researchers to make significant strides in the field of brain tumor therapy. Key Features: - Structured chapters for easy understanding of nanotechnology concepts - In-depth coverage of theranostics-based delivery systems for brain tumor diagnosis and treatment - References for further reading and exploring new advances in drug delivery systems

Breast cancer is one of the most common cancer types worldwide, and is a leading cause of cancer related deaths in women. In this book, medical experts review our current understanding of the molecular biology and characteristics of breast cancer. The topics covered in this book provide comprehensive knowledge of mechanisms underlying breast carcinogenesis, and are intended for a wide audience including scientists, teachers, and students.

11 chapters present information about several topics on breast cancer, including the role of cell growth and proliferation pathways, androgen and cytokine signaling, germline mutations in breast cancer susceptibility genes, and molecular factors causing invasive and metastatic breast cancer. In addition, the editors discuss the recent advancements in multi-omics data analysis based on inter-and intra-tumor molecular profiles.

The reference highlights how the knowledge and understanding of the biological behavior of breast neoplasms have facilitated ongoing investigations into dietary polyphenolic compounds with antioxidant properties, making them function as cancer chemopreventive agents. Along with this, the current development of treatment strategies such as targeted molecular therapy, and radiation therapy is brought to the fore to update readers.

Budget Optimization and Allocation: An Evolutionary Computing Based Model is a guide for computer programmers for writing algorithms for efficient and effective budgeting. It provides a balance of theory and practice. Chapters explain evolutionary computational techniques (genetic algorithms) and compare these techniques with traditional approaches to budget allocation.

A case study on the complex and broad problem of union budgeting of India is presented. The macro and micro economic issues specific to the case discussed, with the growth rate being the final aim of the budget exercise. The authors also present a comparison of the budget allocation practices of different countries, consistent with other factors such as their local economy, culture, population, etc. The use of evolutionary computation to tackle incremental budgeting is also presented. Readers will be able to understand the synergies of modern computational techniques with tried and tested budgeting models.

Budget Optimization and Allocation: An Evolutionary Computing Based Model is a useful reference for graduate students, business enterprise programmers, and evolutionary computing/AI researchers who seek to understand new methods of budgeting.

Business Models and Innovative Technologies for SMEs focuses on technologies such as data analytics, artificial intelligence and data as a service. As these technologies offer new possibilities, small and medium enterprises (SMEs) often struggle to grasp their full potential within evolving business landscapes. Five reviews discuss the potential of these technologies to drive SME growth. The book also highlights the need for a strategic approach to overcoming challenges faced by SMEs to create innovative business models such as limited resources, infrastructure hurdles, and financial limitations.

The chapters explore diverse facets of business model innovation, covering strategic models for mobile application development, the critical role of cybersecurity culture, readiness assessments, digital transformations leveraging artificial intelligence, expert systems' impact on competitiveness, and the adoption of data as services in SMEs. Each chapter is tailored to provide actionable insights drawn from theory and, where possible, real-life case studies, addressing questions related to technological benefits, innovative strategies, and challenges in implementing digital transformations for SMEs.

This book caters to a wide audience of academics, researchers, policymakers, and business practitioners deeply invested in SME development, offering practical solutions and theoretical frameworks. The combination of scholarly and practical approaches towards developing and implementing innovative strategies, makes it a valuable resource for readers seeking to understand and support SME growth.

In the battle against the COVID-19 pandemic, the integration of Internet of Things (IoT) technologies has played a pivotal role in reshaping public health and healthcare delivery. Interconnected devices have demonstrated their capacity to collect, transmit, and analyze data, significantly impacting various aspects of pandemic management. COVID-19 Monitoring with IoT Devices is a comprehensive guide to measuring the impact of COVID-19 infection and monitoring outbreak metrics. Beginning with an introduction to SARS-CoV-2 and its symptoms, the book presents chapters on machine learning (supervised and unsupervised algorithms) and techniques to predict COVID-19 outcomes. The book concludes with the role of IoT technology in detecting COVID-19 infections within a community, showcasing different computing models applicable to specific use-cases. Key Features: Explores the pivotal role of IoT technology in the fight against the COVID-19 pandemic. Covers a data-driven approach to COVID-19 monitoring by explaining methods for data collection, prediction, and analysis. Includes specific recommendations for machine learning algorithms designed for COVID-19 monitoring. Easy-to-read structured chapters suitable for novices in computer science and biomedical engineering. COVID-19 Monitoring with IoT Devices provides a valuable resource for understanding the role of IoT technology in managing and mitigating the impact of COVID-19, and developing adequate infection control policies. It also showcases the potential of IoT for future research and applications in the healthcare sector. This book is intended for a diverse readership, including academicians, industry professionals, researchers, and healthcare practitioners.

COVID-19: Causes, Transmission, Diagnosis, and Treatment is a simple guide to COVID-19 for all readers to give a thorough perspective about the disease. It comprehensively covers information about SARS-CoV-2 biology, clinical treatment and associated problems. It starts with key introductory topics such as COVID-19 epidemiology and viral biology. Next, it covers basic COVID-19 treatments and the impact of the disease in public health and economies. The book concludes by providing information on advanced technologies for COVID-19 radiograph imaging with AI and other machine learning techniques. Overall, content equips readers with a basic understanding about COVID-19 and the role of new technologies in overcoming challenges posed by the viral pandemic.

Key Features

- An accessible resource on COVID-19 for all readers

- Introduces the reader to SARS-CoV-2 variants, transmission routes and replication

- Explains COVID-19 symptoms and treatment methods

- Covers a diverse range of issues surrounding the COVID-19 pandemic

- Highlights key risks and challenges associated with COVID-19

- Covers current and emerging computer technologies that are useful for COVID-19 infection control

- Includes references for advanced readers

The coronavirus disease 2019 (COVID-19) outbreak has spread throughout the globe and much time has passed since it was declared as a pandemic by the World Health Organization (WHO). COVID-19: Diagnosis and Management provides clinicians and scholars all the information on this disease in 2 volumes. Readers will find a concise and visual reference for this viral disease and will be equipped with the knowledge to assess and manage Sar-Cov-2 infection cases in clinical settings.

This book is divided into two parts (I and II). Part I provides comprehensive information about 1) History of Coronaviruses, 2) Epidemiology of COVID-19, 3) Clinical presentation of this viral disease and 4) COVID-19 diagnosis. Part II covers broader topics about this communicable disease including 1) the prevention and treatment methodology, 2) mortality and long-term complications, 3) COVID-19 vaccines and future perspectives.

Key Features:

Covers all the aspects of COVID-19 making this a perfect textbook for virology and medical students.

Chapter wise description and segregation of topics from pathophysiology to diagnosis and management of COVID-19.

Six chapters in the first part which focus on clinical basics of COVID-19.

Six chapters in the second part which cover broader topics for practical infection control.

Multiple tables and figures which summarize and highlight important points.

Presents a summary of the current standards for the evaluation and diagnosis of COVID-19.

Features a detailed list of references, abbreviations, and symbols.

This book is an essential textbook reference for medical students, scientists (virologists, pulmonologists) and public health officials who are required to understand COVDI-19 diagnosis and management as part of their clinical training or professional work.