A Case-Based Approach to Interventional Pulmonology: A Focus on Asian Perspectives focuses on various aspects of Interventional Pulmonology (IP) based on clinical case scenarios. Today evidence-based medicine and statistics are ruling our daily practice. Thus each case is unique regardless of what the theory predicts. This asian perspective of Interventional Pulmonology (IP) is also of great importance given the differences in the etiologies compared to other regions of the world. Asia being the leading region in terms of population and the high incidence of certain airway and lung diseases is an amazing source for fundamental and clinical research.

The contents of the book have been divided into four different sections with a primary aim of case-based scenarios and solutions. Section A consists of diagnostic IP procedures like linear and radial EBUS navigation bronchoscopy bronchoscopic lung cryobiopsy (BLC) and cone beam CT. Section B focuses on therapeutic rigid bronchoscopic procedures. Besides airway stenting and laser bronchoscopy this discusses recent interventions such as bronchial thermoplasty bronchoscopic lung volume reduction 3D printing and microwave ablation. Section C is dedicated to pleural procedures focusing on indwelling pleural catheters (IPC) and fibrinolytics. Section D is dedicated to common paediatric IP procedures.

Each case is presented with the history including clinical radiological bronchoscopic/pleuroscopic findings and final outcomes. Many of these cases also have video illustrations.

Artificial intelligence (AI) is viewed as one of the technological advances that will reshape modern societies and their relations. While the design and deployment of systems that continually adapt hold the promise of far-reaching positive change they simultaneously pose significant risks especially to already vulnerable people.

This work explores the meaning of AI and the important role of critical understanding and its phenomenological foundation in shaping its ongoing advances. The values power and magic of reason are central to this discussion. Critical theory has used historical hindsight to explain the patterns of power that shape our intellectual political economic and social worlds and the discourse on AI that surrounds these worlds. The authors also delve into niche topics in philosophy such as transcendental self-awareness post-humanism and concepts of space-time and computer logic.

By embedding a critical phenomenological orientation within their technical practices AI communities can develop foresight and tactics that can better align research and technology development with established ethical principles — centering vulnerable people who continue to bear the brunt of the negative impacts of innovation and scientific progress. The creation of a critical–technical practice of AI will lead to a permanent revolution in social scientific and political communities. The years ahead will usher in a wave of new scientific breakthroughs and technologies driven by AI research making it incumbent upon AI communities to strengthen the social contract through ethical foresight a capability which only phenomenology can deliver ultimately supporting future technologies that enable greater well-being with the goal of delivering practical truths.

A Critical Understanding of Artificial Intelligence: A Phenomenological Foundation is an essential read for anyone interested in the complex debate and phenomenology surrounding AI and its growing role in our society.

A Journey Through Water: A Scientific Exploration of The Most Anomalous Liquid on Earth is a monograph about water at molecular level. The monograph explores how its peculiar properties are related to its molecular structure. Readers are introduced to water through information about water in a wider perspective properties of its liquid state experimental techniques for molecular level investigations of liquid water and computer simulation techniques. This is followed by chapters explaining the structural properties and principal applications of various phases of water (water as a normal liquid supercooled water ice and supercritical water). Key features of this reference include:

- easy to understand sequential and structured text making this reference ideal for readers with limited scientific knowledge of water physics

- a list of institutions where water research is promoted in larger scales

- 130 figures which supplement the text

- an explanation of ten principal anomalies of water and associated theories

The book is an excellent resource for novice researchers (physicists chemists and chemical engineers) working on water and laymen who are interested in furthering their understanding of this precious liquid.

A Primer on Earth Pollution: Pollution Types and Disposal is an encyclopedia of important research articles and short essays on pollution. Chapters in the initial half provide information about a wide variety of pollutants (dyes and microplastics) and contributing factors (thermal pollution and the impact of GM plants for instance). Each chapter explains the nature of polluting agents and presents notes and references on preventive measures. Notes on the associated clinical complications due to exposure are also proved where applicable such as the case of MDR bacteria in marine environments. The latter chapters of the book cover the biotechnology of medical waste disposal using microbes as well as nanotechnology used for limiting the spread of COVID-19.

The volume is a handy reference for students and trainees in the field of environmental science as it brings a balance of basic and applied information on the subject of pollution.

The book aims to provide a deeper understanding of the synergistic impact of Artificial intelligence (AI) and the Internet of Things (IoT) for disease detection. It presents a collection of topics designed to explain methods to detect different diseases in humans and plants. Chapters are edited by experts in IT and machine learning and are structured to make the volume accessible to a wide range of readers.

Key Features:

- 17 Chapters present information about the applications of AI and IoT in clinical medicine and plant biology

- Provides examples of algorithms for heart diseases Alzheimer's disease cancer pneumonia and more

- Includes techniques to detect plant disease

- Includes information about the application of machine learning in specific imaging modalities

- Highlights the use of a variety of advanced Deep learning techniques like Mask R-CNN

- Each chapter provides an introduction and literature review and the relevant protocols to follow

The book is an informative guide for data and computer scientists working to improve disease detection techniques in medical and life sciences research. It also serves as a reference for engineers working in the healthcare delivery sector.

Watching TV surfing the Internet and sitting for long hours have replaced more active pursuits. Millions of Americans are simply not moving enough to meet the minimum threshold for good health and longevity. Exercise physiologists have researched and highlighted this fact for decades. That is why they emphasize the importance of regular exercise in the prevention of chronic diseases associated with physical inactivity and a sedentary lifestyle. Heart disease obesity type 2 diabetes high blood pressure stroke peripheral arterial disease depression several types of cancers and osteoporosis can be treated or even prevented with properly prescribed exercise. There is a need for integrating exercise physiology knowledge and rehabilitation programs as a continuous part of the healthcare profession. This opens up the opportunity for new approaches to manage patients suffering from chronic diseases and disabilities. ASEP’s Exercise Medicine Text for Exercise Physiologists is designed to educate exercise physiologists about the significance of professionalism in exercise physiology exercise medicine and entrepreneurship opportunities. It combines scientific principles with cardiovascular calculation steps that support its use in the development of safe well-rounded and individualized exercise programs to help clients and patients sleep better reduce stress maintain a healthy body weight keep bones strong and joints healthy decrease the risk for colon cancer and improve mental function. This textbook demonstrates the importance of exercise medicine and will familiarize readers with ASEP guidelines. Exercise physiologists in training will therefore be prepared for contributing a meaningful role in the healthcare services sector.

Vector calculus is an essential mathematical tool for performing mathematical analysis of physical and natural phenomena. It is employed in advanced applications in the field of engineering and computer simulations.

This textbook covers the fundamental requirements of vector calculus in curricula for college students in mathematics and engineering programs. Chapters start from the basics of vector algebra real valued functions different forms of integrals geometric algebra and the various theorems relevant to vector calculus and differential forms.

Readers will find a concise and clear study of vector calculus along with several examples exercises and a case study in each chapter. The solutions to the exercises are also included at the end of the book.

This is an ideal book for students with a basic background in mathematics who wish to learn about advanced calculus as part of their college curriculum and equip themselves with the knowledge to apply theoretical concepts in practical situations.

This book focuses on crucial characterization methods adopted for materials design and performance of secondary batteries. The book is divided into eight chapters aiming to provide comprehensive and essential guidance on battery characterizations. Each chapter focuses on a specific technique: electron microscopy focused ion beam methods atomic force microscopy X-ray photoelectron spectroscopy time-of-flight secondary ion mass spectra neutron diffraction synchrotron-radiation X-ray tomography and ultrasonic nondestructive testing.

Key Features

· Comprehensive coverage of characterization techniques for secondary battery technology

· Explains the working principle essential functions and data analysis for each technique

· In-depth review of recent applications of secondary batteries from both material and device perspectives

· Detailed reference list for advanced readers

This monograph is intended as a resource for the broad research community involved in materials and device testing for batteries at academic and industrial levels. It also serves as a reference for engineering students required to learn advanced characterization techniques for developing rechargeable battery technology.

This book focuses on the advanced controller designs of flight vehicle maneuver and operation. Chapters explain advanced control mechanisms and algorithms for different controllers required in a flight vehicle system. The book topics such as air-disturbance fixed time controllers algorithms for orbit and attitude computation adaptive control modes altitude stabilization nonlinear vibration control partial space elevator configuration controls for formation flying and satellite cluster respectively.

Key features:

1) Includes an investigation of high-precision and high-stability control problems of flight vehicles

2) Multiple complex disturbances are considered to improve robust performance and control accuracy

3)Covers a variety of single spacecraft and distributed space systems (including hypersonic vehicles flexible aircraft rigid aircraft and satellites)

This book will be helpful to aerospace scientists and engineers who are interested in working on the development of flight vehicle maneuver and operation. Researchers studying control science and engineering and advanced undergraduate and graduate students and professionals involved in the flight vehicle control field will also benefit from the information given in this book.

Advanced Machine Learning for Complex Medical Data Analysis is a definitive guide to leveraging machine learning to solve critical challenges in medical data analysis. This book discusses cutting-edge methodologies from predictive modeling to neural networks tailored to address the unique complexities of medical and healthcare data. It combines theoretical frameworks with practical applications ensuring readers gain a comprehensive understanding of both concepts and real-world implementations.

The book covers diverse topics including medical image denoising the transformative role of GANs IoT applications in healthcare early disease detection using speech data and COVID detection using autoencoders. It also explores the impact of big data statistical approaches to medical analytics and public health improvements through technology.

Key Features:

- Practical insights into deploying advanced machine learning models for healthcare.

- Real-world case studies on diverse diseases and datasets.

- Cutting-edge topics like explainable AI federated learning and ethical considerations.

- Methods for improving data accuracy efficiency and privacy.