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Inflammation in Respiratory and Neurological Diseases and the immune-interaction of the lung-brain axis
Despite great advances in diagnosis and treatment that we witnessed in the last decades, over a billion people suffer from both respiratory and neurological diseases each year, which poses great threats to the public health and economic burden worldwide. In many instances, the underlying pathogenic mechanisms are still poorly understood, which significantly limits the efficacy of therapeutic methods. In this regard, lines of evidence pinpoint the important role of immunity and inflammation in both respiratory disorders (e.g., pulmonary hypertension, chronic obstructive pulmonary disease, asthma, etc.) and neurological ones (e.g., neurodegenerative diseases, stroke, depression, etc.). The acc...
Applied Mathematics, Modeling and Computer Simulation
The pervasiveness of computers in every field of science, industry and everyday life has meant that applied mathematics, particularly in relation to modeling and simulation, has become ever more important in recent years. This book presents the proceedings of the 2021 International Conference on Applied Mathematics, Modeling and Computer Simulation (AMMCS 2021), hosted in Wuhan, China, and held as a virtual event from 13 to 14 November 2021. The aim of the conference is to foster the knowledge and understanding of recent advances across the broad fields of applied mathematics, modeling and computer simulation, and it provides an annual platform for scholars and researchers to communicate imp...
L1 Adaptive Control Theory
This book presents a comprehensive overview of the recently developed L1 adaptive control theory, including detailed proofs of the main results. The key feature of the L1 adaptive control theory is the decoupling of adaptation from robustness. The architectures of L1 adaptive control theory have guaranteed transient performance and robustness in the presence of fast adaptation, without enforcing persistent excitation, applying gain-scheduling, or resorting to high-gain feedback.
Reborn In the 1990s
Fang Ruixue had been reborn, and had returned to that crossroads where she could change her life. In her previous life, she was a timid and cowardly person. In the end, she became a tool that her stepmother used to seek benefits for her little brother. She was stuck in a quagmire of life. In this life, she would firmly grasp her fate in her own hands. In this life, she actually met someone she could only look up to in her previous life. However, all she wanted to do was to earn more money and accumulate capital; she had no interest whatsoever in dating someone.
Advances in Asset Management and Condition Monitoring
This book gathers select contributions from the 32nd International Congress and Exhibition on Condition Monitoring and Diagnostic Engineering Management (COMADEM 2019), held at the University of Huddersfield, UK in September 2019, and jointly organized by the University of Huddersfield and COMADEM International. The aim of the Congress was to promote awareness of the rapidly emerging interdisciplinary areas of condition monitoring and diagnostic engineering management. The contents discuss the latest tools and techniques in the multidisciplinary field of performance monitoring, root cause failure modes analysis, failure diagnosis, prognosis, and proactive management of industrial systems. There is a special focus on digitally enabled asset management and covers several topics such as condition monitoring, maintenance, structural health monitoring, non-destructive testing and other allied areas. Bringing together expert contributions from academia and industry, this book will be a valuable resource for those interested in latest condition monitoring and asset management techniques.
Deep Learning for Smart Healthcare
Deep learning can provide more accurate results compared to machine learning. It uses layered algorithmic architecture to analyze data. It produces more accurate results since learning from previous results enhances its ability. The multi-layered nature of deep learning systems has the potential to classify subtle abnormalities in medical images, clustering patients with similar characteristics into risk-based cohorts, or highlighting relationships between symptoms and outcomes within vast quantities of unstructured data. Exploring this potential, Deep Learning for Smart Healthcare: Trends, Challenges and Applications is a reference work for researchers and academicians who are seeking new w...
Three Kingdoms: Super Hegemon
At the beginning of the chaotic era, as a special forces soldier of the later generation, Luo Yang came to this chaotic era. Perhaps, surviving was the first problem that Luo Yang needed to solve! As long as he could survive, he was willing to do anything! If you don't let me live! Then I will kill you! Soldier? Snatch! An army? Snatch! A city? Snatch! A famous general? Snatch! Beautiful women? Snatch! Country? Snatch! The world? After snatching so much, the world was no longer taking it for granted!
