Bentham Science Publishers

Systematic Architectural Design for Optimal Wind Energy Generation is a handy reference on the aerodynamic architectural forms in buildings for optimizing wind energy conversion processes. Chapters of the book cover the basics of wind energy generation and building design that make them more conducive for generating wind power, and in line with sustainable energy design goals.

Key Features:

- 7 chapters organized in a simple, reader-friendly layout

- A learning approach to the subject that highlights key concepts in architectural science and wind energy physics

- Introduces readers to the application of computational Fluid Dynamics (CFD) tools to visualize and simulate architectural forms under wind actions

- An objective focus on architectural forms is presented, including the role of the form in optimizing wind energy conversion and the negative effects of wind on certain forms

- Covers the building and positioning of different types of wind turbines

- References for further reading

Systematic Architectural Design for Optimal Wind Energy Generation is an essential reference for students of architecture at all levels, professional architects, as well as readers interested in green building design, renewable energy, and sustainability studies that pave the way towards proactive environment-friendly solutions.

Over the past decades, systems biology approaches have been applied in different areas of life science research including oncology. Researchers now understand the hallmarks of cancer cells such as abnormal cell growth, inflammation, dysregulated metabolic pathways and drug resistance properties at a molecular level. Systems biology approaches have enabled researchers to investigate cancer immunology by identifying cancer related biomarkers on immune cells, and to study the effect of different therapies in tissue cultures and mouse models.

Systems Biology in Cancer Immunotherapy explains the scope of systems biology in understanding the immune response to neoplasms. The book introduces readers to the concepts crucial to cancer immunology before delving into the applied systems biology topics such as the metabolic pathways in cancer cells, the biomolecular roles of signal transduction molecules and their respective biochemical pathways ad cancer immunotherapy. A brief conclusion at the end also provides some information from a clinical and commercial perspective on cancer immunotherapy.

This volume is intended as an introductory reference for life science and medical students, researchers and academics interested in the application of systems biology to the immune system in oncology research and chemotherapy practice.

Cancer is a disease responsible for several million annual deaths among humans, worldwide. However, advances in healthcare - which include breakthroughs in science and medicine as well as access to medical treatment - have improved the survival rate of cancer patients over the last few decades.

Therapeutic Revolution relates the story of one of the great scientific tales of the twentieth century: how the field of medical oncology was created and its subsequent development owing to medical and scientific breakthroughs. The book unfolds the pre-clinical and clinical concepts and innovations that led to the creation of the medical subspecialty now known as oncology.

Therapeutic Revolution is the first book ever written on the events that led to this subspecialty of internal medicine. It relates the recollection of key events obtained from interviews of the pioneers who laid the foundations of medical oncology, as well as the author’s own experience of the pre-specialty era of medical practice.

The eBook is essential reading for all readers interested in the history of cancer treatment and also serves as a historical primer for medical students learning oncology.

TechTrends: Navigating the Frontier of Emerging Technologies highlights how emerging technologies are reshaping industries, enabling sustainable engineering, and transforming education and healthcare. Covering topics from blockchain security and IoT edge computing to machine learning, genomic computing, and virtual reality, this book brings together cutting-edge research and practical insights into the most dynamic fields of technological advancement.

Each chapter showcases interdisciplinary innovations such as AI-driven fashion recommendation systems, predictive modeling for tool wear, laser cladding for lightweight alloys, CNN-based plant disease diagnostics, photovoltaic energy optimization, and immersive VR applications in education. By blending computational techniques with engineering and applied sciences, this volume emphasizes the practical potential of technology to solve real-world industrial, societal, and environmental challenges.

Key Features

· Explores advances in blockchain security, IoT resource optimization, and edge architectures.

· Applies machine learning to domains ranging from healthcare to manufacturing.

· Investigates renewable energy optimization, genomic computing, and plant disease detection.

· Assesses social network modeling, immersive VR in education, and sustainable engineering solutions.

· Bridges theory and practice with case-driven, interdisciplinary research.

In the wake of the transformative global events since 2020, the economic landscape has undergone profound changes. Adapting to the new paradigms brought about by the pandemic requires innovative business models that seamlessly blend technology and offer hybrid online-offline services. This handbook is an essential guide for students and entrepreneurs navigating this evolving landscape. It equips readers with the knowledge and tools to create value and design effective online-offline business models that cater to the demands of the post-pandemic era.

Key Themes:

Technology-Service Management: Explore the concept of servitization, relevant frameworks, and the latest servitization trends that are reshaping industries.

Business Innovations: Learn how businesses have leveraged technology and service-oriented approaches to thrive during and after the pandemic.

Customer-Centric Models: Discover how to create business models that prioritize customer needs and preferences, effectively bridging the online and offline realms.

Value Innovation: Explore how the convergence of technology and services drives value creation and contributes to social welfare.

Real-World Examples: Gain insights from exemplary cases of servitization, illustrating how businesses have successfully overcome crisis situations. In an era defined by rapid change and uncertainty, this book empowers readers to harness the potential of technology-driven service models. Whether you're a student seeking to understand these shifts or an entrepreneur looking to adapt and innovate, this resource provides invaluable insights and practical guidance for the post-pandemic business landscape.

Environmental issues such as overexploitation, pollution and degradation of natural resources have prompted us to look for ways to devise sustainable practices across industrial and public service sectors. Researchers and scientists all over the world are involved in developing strategies and techniques that help us achieve a sustainable environment. Technology for a Sustainable Environment presents an overview of various methods and techniques that can be adapted to sustain the environment. Chapters focus on techniques such as bioremediation, nanotechnology and biotechnology that can play a very important role in achieving environmental sustainability goals. The chapters also provide a detailed account about use of biotechnology, nanotechnology and other techniques in achieving environmental sustainability. Additionally, the book includes a discussion about emerging technologies that promote environmental sustainability like green technologies, biodegradable polymers and plastics. Readers will be able to understand how modern technologies can help in monitoring environmental pollutants, remediation of environmental pollution and prevention of environmental degradation.

The book is suitable for readers, professionals and scholars at all levels who require an understanding of the technology in environmental science, environmental engineering and environmental biotechnology.

Terpenoids are commercially important chemicals found in essential oils and other natural plant sources. They are used in solving issues that affect agricultural production, making them a key component of sustainable agronomy.

Terpenoids: Recent Advances in Extraction, Biochemistry and Biotechnology provides information about the varied use of terpenoids in the control of pests, microbial diseases, ticks, and weeds. Chapters have prioritized terpenoids produced by plants, endophytic fungi, propolis, and geopropolis. The book also provides focused information about the functions of terpenoids in plants, as well as their biosynthetic pathways of production.

The reference provides readers with a broad and diverse picture of the applications of terpenoids in plant safety, and creates an awareness of the possibilities for innovative biotechnological approaches for their extraction that make all the difference to agricultural production.

Professionals and scholars involved in chemical technology, biotechnology and agriculture will benefit from the information provided in the book. It also serves as a comprehensive update for general readers interested in terpenoids and their current impact on the agricultural industry.

Text Analysis with Python: A Research-Oriented Guide is a quick and comprehensive reference on text mining using python code. The main objective of the book is to equip the reader with the knowledge to apply various machine learning and deep learning techniques to text data. The book is organized into eight chapters which present the topic in a structured and progressive way.

Key Features:

Introduces the reader to Python programming and data processing

Introduces the reader to the preliminaries of natural language processing (NLP)

Covers data analysis and visualization using predefined python libraries and datasets

Teaches how to write text mining programs in Python

Includes text classification and clustering techniques

Informs the reader about different types of neural networks for text analysis

Includes advanced analytical techniques such as fuzzy logic and deep learning techniques

Explains concepts in a simplified and structured way that is ideal for learners

Includes References for further reading

Text Analysis with Python: A Research-Oriented Guide is an ideal guide for students in data science and computer science courses, and for researchers and analysts who want to work on artificial intelligence projects that require the application of text mining and NLP techniques.

Textbook of Advanced Dermatology: Pearls for Academia and Skin Clinics is an essential reference for practicing dermatologists in hospitals and clinics. The book aims to provide interesting tips which cannot be found in traditional dermatology handbooks. The contributors include top minds in dermatology and related fields such as Joe Niamtu, Samuel Lam, and Steven Feldman. Topics in the book include novel, original formulations for topical compounds, ways to improve patient adherence to prescriptions, business tips, novelties in skin surgery, and solutions for preventing patient complaints and legal suits. The book also highlights the authors personal experiences gained over many years in improving everyday clinical dermatology practice.

The book is divided into 5 sections each representing pearls of advice: Teaching Pearls, Medical Pearls, Publication Pearls, Procedural Pearls, and Business Pearls, encompassing all of the broad realm of dermatology.