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The Happy Afterlife of Ludwig W.
This book tells a great philosophical tale. The backstory of this tale is simple: the famous philosopher Ludwig Wittgenstein published only one philosophical book during his lifetime: the Tractatus Logico-Philosophicus. He left the lion’s share of his philosophical writings to posterity in the form of unpublished manuscripts and typescripts amounting to more than 18,000 pages. In his will, Wittgenstein entrusted three of his former students – Elizabeth Anscombe, Rush Rhees and Georg Henrik von Wright – with the task of publishing from his writings what they thought fit. During the subsequent decades, these literary heirs edited the volumes that the learned world has come to know as the...
Future Health Scenarios
Digital technologies is a major emerging area to invest and research in new models of health management. Future health scenarios are constituted by technologies in health and clinical decision-making systems. This book provides a unique multidisciplinary approach for exploring the potential contribution of AI and digital technologies in enabling global healthcare systems to respond to urgent twenty-first-century challenges. Deep analysis has been made regarding telemedicine using big data, deep learning, robotics, mobile and remote applications. Features: Focuses on prospective scenarios in health to predict possible futures. Addresses the urgent needs of the key population, socio-technical ...
Nutrition and Infectious Diseases
This comprehensive and user-friendly volume focuses on the intersection between the fields of nutrition and infectious disease. It highlights the importance of nutritional status in infectious disease outcomes, and the need to recognize the role that nutrition plays in altering the risk of exposure and susceptibility to infection, the severity of the disease, and the effectiveness of treatment. Split into four parts, section one begins with a conceptual model linking nutritional status and infectious diseases, followed by primers on nutrition and immune function, that can serve as resources for students, researchers and practitioners. Section two provides accessible overviews of major catego...
Artificial Nucleases
The development of agents capable of cleaving RNA and DNA has attracted considerable attention from researchers in the last few years, because of the immediate and very important applications they can find in the emerging fields of biotechnology and pharmacology. There are essentially two classes of these agents - nucleases that occur naturally inside cells and synthetically produced artificial nucleases. The first class includes protein enzyme nucle ases and catalytic RNA structured ribozymes that perform cleavage of the phosphodiester bonds in nucleic acids according to a hydrolytic pathway in the course of different biochemical processes in the cell. A different pathway is used by some an...
Intelligent Systems and Applications
This book is a remarkable collection of chapters covering a wide domain of topics related to artificial intelligence and its applications to the real world. The conference attracted a total of 494 submissions from many academic pioneering researchers, scientists, industrial engineers, and students from all around the world. These submissions underwent a double-blind peer-reviewed process. Of the total submissions, 176 submissions have been selected to be included in these proceedings. It is difficult to imagine how artificial intelligence has become an inseparable part of our life. From mobile phones, smart watches, washing machines to smart homes, smart cars, and smart industries, artificia...
Advances in Parasitology
Advances in Parasitology, Volume 121, the latest release in this ongoing series, includes medical studies of parasites of major influence, along with reviews of more traditional areas, such as zoology, taxonomy and life history. Specific sections in this new release focus on Cryptosporidiosis. - Provides the authority and expertise of leading contributors from an international board of authors - Presents the latest release in the Advances in Parasitology series - Updated release includes the latest information on fundamental life science
Explainable Artificial Intelligence for Biomedical Applications
Since its first appearance, artificial intelligence has been ensuring revolutionary outcomes in the context of real-world problems. At this point, it has strong relations with biomedical and today’s intelligent systems compete with human capabilities in medical tasks. However, advanced use of artificial intelligence causes intelligent systems to be black-box. That situation is not good for building trustworthy intelligent systems in medical applications. For a remarkable amount of time, researchers have tried to solve the black-box issue by using modular additions, which have led to the rise of the term: interpretable artificial intelligence. As the literature matured (as a result of, in p...
Parasite Infections: From Experimental Models to Natural Systems
Eukaryotic parasites (including parasitic protozoans, worms and arthropods) are more complex and heterogeneous organisms than pathogenic bacteria and viruses. This notion implies different evolutionary strategies of host exploitation. Typically, parasites establish long-term infections and induce relatively little mortality, as they often limit pathological changes by modulating host cells and downregulating adverse immune responses. Their pattern of distribution tends to be endemic rather than epidemic. Despite these seemingly benign traits, parasites usually cause substantial chronic morbidity, thus constituting an enormous socioeconomic burden in humans, particularly in resource poor coun...
Explainable AI: Foundations, Methodologies and Applications
This book presents an overview and several applications of explainable artificial intelligence (XAI). It covers different aspects related to explainable artificial intelligence, such as the need to make the AI models interpretable, how black box machine/deep learning models can be understood using various XAI methods, different evaluation metrics for XAI, human-centered explainable AI, and applications of explainable AI in health care, security surveillance, transportation, among other areas. The book is suitable for students and academics aiming to build up their background on explainable AI and can guide them in making machine/deep learning models more transparent. The book can be used as a reference book for teaching a graduate course on artificial intelligence, applied machine learning, or neural networks. Researchers working in the area of AI can use this book to discover the recent developments in XAI. Besides its use in academia, this book could be used by practitioners in AI industries, healthcare industries, medicine, autonomous vehicles, and security surveillance, who would like to develop AI techniques and applications with explanations.
