A Blueprint for the Hard Problem of Consciousness addresses the fundamental mechanism that allows physical events to transcend into subjective experiences termed the Hard Problem of Consciousness. Consciousness is made available as the abstract product of self-referent realization of information by strange loops through the levels of processing of the brain.

Readers are introduced to the concept of the Hard Problem of Consciousness and related concepts followed by a critical discourse of different theories of consciousness. Next the author identifies the fundamental flaw of the Integrated Information Theory (IIT) and proposes an alternative that avoids the cryptic intelligent design and panpsychism of the IIT. This author also demonstrates how something can be created out of nothing without resorting to quantum theory while pointing out neurobiological alternatives to the bottom-up approach of quantum theories of consciousness.

The book then delves into the philosophy of qualia in different physiological knowledge networks (spatial temporal and olfactory cortical signals for example) to explain an action-based model consistent with the generational principles of Predictive Coding which maps prediction and predictive-error signals for perceptual representations supporting integrated goal-directed behaviors. Conscious experiences are considered the outcome of abstractions realized out of map overlays and provided by sustained oscillatory activity.

The key feature of this blueprint is that it offers a perspective of the Hard Problem of Consciousness from the point of view of the subject; the experience of ‘being the subject’ is predicted to be the realization of inference inversely mapped out of hidden causes of global integrated actions. The author explains the consistencies of his blueprint with ideas of the Global Neuronal Workspace and the Adaptive Resonance Theory of consciousness as well as with the empirical evidence supporting the Integrated Information Theory.

A Blueprint for the Hard Problem of Consciousness offers a unique perspective to readers interested in the scientific philosophy and cognitive neuroscience theory in relation to models of the theory of consciousness.

This reference demonstrates the development of a context aware decision-making health informatics system with the objective to automate the analysis of human centric wellness and assist medical decision-making in healthcare.

The book introduces readers to the basics of a clinical decision support system. This is followed by chapters that explain how to analyze healthcare data for anomaly detection and clinical correlations. The next two sections cover machine learning techniques for object detection and a case study for hemorrhage detection. These sections aim to expand the understanding of simple and advanced neural networks in health informatics. The authors also explore how machine learning model choices based on context can assist medical professionals in different scenarios.

Key Features :

-Reader-friendly format with clear headings introductions and summaries in each chapter

-Detailed references for readers who want to conduct further research

-Expert contributors providing authoritative knowledge on machine learning techniques and human-centric wellness

-Practical applications of data science in healthcare designed to solve problems and enhance patient wellbeing

-Deep learning use cases for different medical conditions including hemorrhages gallbladder stones and diabetic retinopathy

Demonstrations of fast and efficient CNN models with varying parameters such as Single shot detector R-CNN Mask R-CNN modified contrast enhancement and improved LSTM models.

This reference is intended as a primary resource for professionals researchers software developers and technicians working in healthcare informatics systems and medical diagnostics. It also serves as a supplementary resource for learners in bioinformatics biomedical engineering and medical informatics programs and anyone who requires technical knowledge about algorithms in medical decision support systems.

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.

This book demonstrates several use cases of how artificial intelligence (AI) and machine learning (ML) are revolutionizing problem-solving across various industries. The book presents 18 edited chapters beginning with the latest advancements in human-AI interactions and neuromorphic computing setting the stage for practical applications.

Chapters focus on AI and ML applications such as fingerprint recognition glaucoma detection and lung cancer identification using image processing. The book also explores the role of AI in professional operations such as UX design event detection and content analysis. Additionally the book includes content that examines AI's impact on technical operations wireless communication VLSI systems and advanced manufacturing processes. Each chapter contains summaries and references for addressing the needs of beginner and advanced readers.

This comprehensive guide is an essential resource for anyone seeking to understand AI's transformative role in modern problem-solving in professional industries.

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.

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.

The discovery of new materials and the manipulation of their exotic properties for device fabrication is crucial for advancing technology. Nanoscience and the creation of nanomaterials have taken materials science and electronics to new heights for the benefit of mankind. Advanced Materials and Nanosystems: Theory and Experiment cover several topics of nanoscience research. The compiled chapters aim to update students teachers and scientists by highlighting modern developments in materials science theory and experiments. The significant role of new materials in future technology is also demonstrated. The book serves as a reference for curriculum development in technical institutions and research programs in the field of physics chemistry and applied areas of science like materials science chemical engineering and electronics. This part covers 12 topics in these areas: - Carbon and boron nitride nanostructures for hydrogen storage applications - Nanomaterials for retinal implants - Materials for rechargeable battery electrodes - Cost-effective catalysts for ammonia production - The role of nanocomposites in environmental remediation - Optical analysis of organic and inorganic components - Metal-oxide nanoparticles - Mechanical analysis of orthopedic implants - Advanced materials and nanosystems for catalysis sensing and wastewater treatment - Topological Nanostructures - Hollow nanostructures

Advanced Materials for Emerging Applications is a monograph on emerging materials'; materials that have observable differences in physical properties and manufacturing requirements when compared to existing materials and industrial processes. The volume aims to showcase novel materials that can be used in advanced technology and innovative products.

The editors have compiled 17 chapters grouped into 3 sections: 1) Metals and Alloys 2) Composite materials and 3) Other materials. Chapters 1-5 discuss recent advances in friction stir welding suitability of nickel-base shape memory alloys thermal cycling studies of nickel-based shape memory alloys nitrogen additions to stainless steel and the evolution of zirconium alloy. Chapters 6-11 cover topics such as additive manufacturing of metal matrix composites composite materials for biomedical applications aluminum and magnesium metal matrix composites aluminum nanocomposites for automobile applications enhancing the strength of aluminum-boron carbide composites and sisal fibers reinforced composites. Lastly chapters 13-17 explore smart hydrogels engineered iron-oxide nanomaterials for magnetic hyperthermia emerging sustainable material technology for fire safety recent advances in unconventional machining of smart alloys and critical parameters influencing high-strain rate deformation of materials.

This monograph provides information for a broad readership including material and manufacturing engineers researchers students (at undergraduate levels or above) and entrepreneurs interested in manufacturing new products.

This technical reference covers information about modern nanocatalysts and their applications in organic syntheses electrochemistry and nanotechnology. The objective of this book is to present a review of the development of nanocatalysts in the fields of organic synthesis and electroanalysis over the last few decades. It provides readers comprehensive systematic and updated information about the relevant topics. The reader is introduced to nanocatalysts with the following chapters delving into the different chemical reactions in which they are involved. The topics covered include: carbon-carbon coupling reactions aryl and organic carbon hetero atom coupling reactions oxidation-reduction reactions photocatalysis heterocyclic reactions and multicomponent catalysis. The concluding chapters cover applications of nanocatalysts in electrochemical synthesis and sensing. The thirteen chapters demonstrate the value of a variety of catalysts that are important in chemical engineering processes.

Advanced Nanocatalysis for Organic Synthesis and Electroanalysis delivers a quick and accessible reference on advanced nanocatalysis for a broad range of readers which includes graduate postgraduate and Ph. D. students of chemical engineering as well as faculty members research and development (R&D) personnel working in the industrial chemistry sector.