Bentham Science Publishers

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.

COVID-19: Epidemiology, Biochemistry, and Diagnostics explains COVID-19 from multidisciplinary angles such as the evolution of SARS-COV, genetic techniques to study the virus, and diagnostic methodologies widely used in the global COVID-19 pandemic.

The chapters in this book provide the reader with up-to-date literature about research on SARS-CoV-2 through three parts:

I) Evolution and Entry of SARS-CoV-2 into the host

II) Genetic Alteration and Structural Determination of SARS-CoV-2 Proteins

III) Quantitative Analysis of SARS-CoV-2 for research and medical diagnosis

Key Features:

- 15 chapters on SAR-CoV-2 in a multidisciplinary context

- Provides a comprehensive overview of SARS-CoV-2 evolution and genetics

- Provides biochemical information about SARS-CoV-2 proteins and receptor targets (both structural and non-structural proteins)

- Includes an overview of several methods of detecting SARS-CoV-2 virus particles (ELISA, PCR, Neutralizing Antibodies

- Covers some critical diagnostic modalities for COVID-19 diagnosis

- Provides bibliographic references for further reading

Readers will understand the significance of phylogenetic analysis of coronaviruses, along with the pathogenesis of COVID-19 and related diseases such as SARS and MERS. Applications of biochemical technologies such as RT-PCR and CRISPR are also demonstrated in the text. This book is a comprehensive introduction to COVID-19 research for medical researchers, microbiologists and virologists. Students in academic programs in life sciences and medicine will also benefit from the information provided in the book.

COVID-19 has spread like wildfire across the globe since the start of the SARS-CoV-2 outbreak, hampering quality of life at multiple levels and causing many deaths. Many aspects of the human experience have been affected, with a body of research being published on its effects on psychological and physical well being, loss of jobs, pay cuts, education, and unpaid caregiving. New findings on these aspects are still emerging as we learn more about the consequences of the pandemic.

This book is intended as a simple summary of recent findings about COVID-19 for academicians and students from science, humanities and commerce backgrounds to understand the pandemic from a microscopic view and how it has touched our lives at different levels.

A collection of topics is presented and explored through chapters dedicated to niche topics on COVID-19. Each chapter is authored by expert scientists, academicians and scholars from leading institutions in India.

The key features of this book set are:

- Interdisciplinary content, making it useful for readers from different academic streams

- A blend of basic and applied research in biology, medicine and social science

- A focus on findings from India

- Updated References for advanced readers

This collection of topics is invaluable for researchers and working professionals in industry and academia as well as general readers who want a broad, insightful perspective on COVID-19.