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Managing Nano-Bio-Info-Cogno Innovations : Converging Technologies in Society
Tremendous human progress is becoming possible through the development of converging technologies stimulated by advances in four core fields: Nanotechnology, Biotechnology Information technology, and new technologies based in Cognitive science (NBIC). This book provides a unique review of technical developments related to the unification that is rapidly taking place today among these fields.
Managing change for sustainability at higher education sector in Syria : The case of private university
Provides an overview of sustainability in higher education, emphasizing its significance in the scope of environmental, social, and economic initiatives. A clarification between an old and new paradigm is examined, highlighting the challenges, which face the higher education sector. The research review classical model of change drawing on the importance of action research model. The research provides a case example on sustainability in higher education in the South Mediterranean region, drawing on the case of Syrian higher education...
Management of Heart Failure ; Vol.2 : Surgical
Management of Heart Failure has been conceived as a rapid but comprehensive review for practitioners of all persuasions involved in the management of patients with heart failure. Heart failure is a problem of epidemic proportions in all parts of the world. State of the art treatment may not be accessible to all, but simply creating an awareness of simple methods of diagnosis and treatment would assist in promoting a better global response to this epidemic. This practical volume, written by a panel of world-renown cardiology experts, focuses on the surgical management of heart failure. Surgery for heart failure is an evolving and new area in cardiac surgery with many exciting developments.
Management of deep carious lesions
Describes the challenges that deep carious lesions pose for dental practitioners, including the risk of endodontic complications and the difficulty of restorative treatment, and identifies options for overcoming these challenges on the basis of the best available evidence. The opening chapter sets the scene by discussing pathophysiology, histopathology, clinical symptomatology, and treatment thresholds. The various treatment options are then systematically presented and reviewed, covering non-selective, stepwise, and selective carious tissue removal and restoration, sealing of lesions using resin sealants or crowns, and non-restorative management approaches. In each case the current evidence with respect to the treatment is carefully evaluated. Advantages and disadvantages are explained and recommendations made on when to use the treatment in question. Illustrative clinical cases and treatment pathways for clinicians are included. This book will be of value for all practitioners who treat dental caries and carious lesions, whether in the permanent or the primary dentition. It will also be of interest to under- and postgraduate students in cariology and restorative, operative, preventive, and pediatric dentistry.
Management of Acute Pulmonary Embolism
Management of Acute Pulmonary Embolism highlights traditional, novel, and evolving aspects of the diagnosis and treatment of pulmonary embolism (PE). Emphasis is placed on specific issues related to PE, including pregnancy, cancer, thrombophilia, and air travel. The authors critically review and interpret available data, and provide clear recommendations for diagnosis and therapeutic concerns in clinical management of PE patients. Management of Acute Pulmonary Embolism is organized in three precise sections - diagnosis, treatment, and special topics. Each section is up-to-date and detailed, and provides clear recommendations for diagnostic and therapeutic approaches to patients with PE in clinical practice. This practical volume is an essential starting point for future study for both medical students and established investigators.
Malignant Mesothelioma : Pathogenesis, Diagnosis, and Translational Therapies
(Review from JAMA) Malignant mesothelioma is an uncommon neoplasm usually associated with exposure to asbestos. Because of its low incidence, thorough reviews of the topic are hard to find. Harvey Pass and colleagues have edited an up-to-date, comprehensive book that includes a wide range of information, from a historical perspective to descriptions of the latest treatment. The authors . . . have written chapters on the carcinogenesis, molecular genetics, and clinical aspects of mesothelioma. Malignant Mesothelioma is suitable for a broad audience. Laboratory researchers will use it as a resource for information about the pathogenesis, animal models, molecular genetics, and cell lines of mesothelioma. . . . Clinicians will benefit from this complete guide to the presentation, prognosis, imaging, and treatment of the disease. I highly recommend this book to all who are interested in mesothelioma.
Male Sexual Function : A Guide to Clinical Management
Male Sexual Function: A Guide to Clinical Management, Second Edition, completely updates and reviews newer developments, including linking erectile dysfunction (ED) with lower urinary tract systems, advances in erectile physiology, and the appreciation of ED as a form of endothelial dysfunction and a harbinger of other potentially lethal forms of vascular disease. Treatments of ED as well as the background, causes, associated conditions, and diagnostic tools are also provided. This new updated edition also presents the facts of sexual function and dysfunction so that the practitioner can properly treat basic problems with easily prescribed therapies. Also included is a new chapter on cardiovascular disease as well as chapters on pelvic surgeries, intracavernous injections with vasoactive agents, and vacuum erection devices.
Malaria: Drugs, Disease and Post-genomic Biology
This volume brings some of the worlds best investigators to describe recent advances in both the scientific and clinical aspects of malaria, and bridges between the two. The opening chapters discuss antimalarials and resistance to them in Africa and Asia. Then there are reviews of the different clinical manifestations of malaria, ranging from uncomplicated infections to severe disease and its complications.
Magnetoreception and Magnetosomes in Bacteria
Recent developments in the research on magnetotactic bacteria are presented in this volume. Included are reviews on the formation and organization of magnetosomes, the genes controlling magnetosome biomineralization, and new cryogenic techniques to visualize novel cytoskeleton structures. Described here are potential nanobiotechnological applications of the magnetosome crystals, which have magnetic and crystalline characteristics unmatched by their inorganic counterparts.
Magnetohydrodynamics : Historical Evolution and Trends
Magnetohydrodynamics (MHD) studies the interaction between the flow of an electrically conducting fluid and magnetic fields. It involves such diverse topics as the evolution and dynamics of astrophysical objects, thermonuclear fusion, metallurgy and semiconductor crystal growth, etc. Although the first ideas in magnetohydrodynamics appeared at the beginning of the last century, the "explosion" in theoretical and experimental studies occurred in the 1950s-60s. This state-of-the-art book aims at revising the evolution of ideas in various branches of magnetohydrodynamics (astrophysics, earth and solar dynamos, plasmas, MHD turbulence and liquid metals) and reviews current trends and challenges.
Machine Learning: ECML 2006 ; 17th European Conference on Machine Learning, Berlin, Germany, September 18-22, 2006, Proceedings
This book constitutes the refereed proceedings of the 17th European Conference on Machine Learning, ECML 2006, held in Berlin, Germany in September 2006, jointly with PKDD 2006. The 46 revised full papers and 36 revised short papers presented together with abstracts of 5 invited talks were carefully reviewed and selected from 564 papers submitted to both, ECML and PKDD. The papers present a wealth of new results in the area and address all current issues in machine learning.
Machine Learning, Image Processing, Network Security and Data Sciences ; 2nd International conference, MIND 2020, Silchar, India, July 30 - 31, 2020, Proceedings, Part II
This two-volume set (CCIS 1240-1241) constitutes the refereed proceedings of the Second International Conference on Machine Learning, Image Processing, Network Security and Data Sciences, MIND 2020, held in Silchar, India. Due to the COVID-19 pandemic the conference has been postponed to July 2020. The 79 full papers and 4 short papers were thoroughly reviewed and selected from 219 submissions. The papers are organized according to the following topical sections: data science and big data; image processing and computer vision; machine learning and computational intelligence; network and cyber security.
Machine learning, image processing, network security and data sciences ; 2nd International conference, MIND 2020, Silchar, India, July 30 - 31, 2020, Proceedings, Part I
This two-volume set (CCIS 1240-1241) constitutes the refereed proceedings of the Second International Conference on Machine Learning, Image Processing, Network Security and Data Sciences, MIND 2020, held in Silchar, India. Due to the COVID-19 pandemic the conference has been postponed to July 2020. The 79 full papers and 4 short papers were thoroughly reviewed and selected from 219 submissions. The papers are organized according to the following topical sections: data science and big data; image processing and computer vision; machine learning and computational intelligence; network and cyber security.
Machine Learning in Dentistry
This book reviews all aspects of the use of machine learning in contemporary dentistry, clearly explaining its significance for dental imaging, oral diagnosis and treatment, dental designs, and dental research. In this book, readers will find up-to-date information on different machine learning tools and their applicability in various dental specialties.
Machine learning for neurodegenerative disorders : advancements and applications
Explores the application of machine learning to the understanding, early diagnosis, and management of neurodegenerative disorders. With a specific focus on its role in ongoing clinical trials, the book covers essential topics such as data collection, pre-processing, feature extraction, model development, and validation techniques. It delves into the applications of neuroimaging techniques like magnetic resonance imaging (MRI), computed tomography (CT), and positron emission tomography (PET) in the diagnosis and understanding of neurodegenerative disorders. Additionally, the book examines various machine-learning algorithms employed for biomarker discovery in neurodegenerative disorders. It highlights the role of neuroinformatics and big data analysis in advancing the understanding and management of neurodegenerative disorders. Furthermore, the book reviews future prospects and presents the ethical considerations and regulatory challenges associated with implementing machine learning approaches in the diagnosis, treatment, and prevention of neurodegenerative disorders.
Machine Learning for Multimodal Interaction ; 5th International Workshop, MLMI 2008, Utrecht, The Netherlands, September 8-10, 2008. Proceedings
The 12 revised full papers and 15 revised poster papers presented together with 5 papers of a special session on user requirements and evaluation of multimodal meeting browsers/assistants were carefully reviewed and selected from 47 submissions. The papers cover a wide range of topics related to human-human communication modeling and processing, as well as to human-computer interaction, using several communication modalities. Special focus is given to the analysis of non-verbal communication cues and social signal processing, the analysis of communicative content, audio-visual scene analysis, speech processing, interactive systems and applications.
Machine learning for cyber security ; 3rd International Conference, ML4CS 2020, Guangzhou, China, October 8–10, 2020, Proceedings, Part III
Constitutes the proceedings of the Third International Conference on Machine Learning for Cyber Security, ML4CS 2020, held in Xi’an, China in October 2020. The 118 full papers and 40 short papers presented were carefully reviewed and selected from 360 submissions. The papers offer a wide range of the following subjects: Machine learning, security, privacy-preserving, cyber security, Adversarial machine Learning, Malware detection and analysis, Data mining, and Artificial Intelligence.
Machine Learning for Cyber Security ; 3rd International Conference, ML4CS 2020, Guangzhou, China, October 8–10, 2020, Proceedings, Part II
Constitutes the proceedings of the Third International Conference on Machine Learning for Cyber Security, ML4CS 2020, held in Xi’an, China in October 2020. The 118 full papers and 40 short papers presented were carefully reviewed and selected from 360 submissions. The papers offer a wide range of the following subjects: Machine learning, security, privacy-preserving, cyber security, Adversarial machine Learning, Malware detection and analysis, Data mining, and Artificial Intelligence.
Machine Learning for Cyber Security ; 3rd International Conference, ML4CS 2020, Guangzhou, China, October 8–10, 2020, Proceedings, Part I
Constitutes the proceedings of the Third International Conference on Machine Learning for Cyber Security, ML4CS 2020, held in Xi’an, China in October 2020. The 118 full papers and 40 short papers presented were carefully reviewed and selected from 360 submissions. The papers offer a wide range of the following subjects: Machine learning, security, privacy-preserving, cyber security, Adversarial machine Learning, Malware detection and analysis, Data mining, and Artificial Intelligence.
Machine Learning and Probabilistic Graphical Models for Decision Support Systems
Presents recent advancements in research, a review of new methods and techniques, and applications in decision support systems (DSS) with Machine Learning and Probabilistic Graphical Models, which are very effective techniques in gaining knowledge from Big Data and in interpreting decisions. It explores Bayesian network learning, Control Chart, Reinforcement Learning for multicriteria DSS, Anomaly Detection in Smart Manufacturing with Federated Learning, DSS in healthcare, DSS for supply chain management, etc. Researchers and practitioners alike will benefit from this book to enhance the understanding of machine learning, Probabilistic Graphical Models, and their uses in DSS in the context of decision making with uncertainty. The real-world case studies in various fields with guidance and recommendations for the practical applications of these studies are introduced in each chapter.
