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Sequence Data Mining
Sequence Data Mining provides balanced coverage of the existing results on sequence data mining, as well as pattern types and associated pattern mining methods. While there are several books on data mining and sequence data analysis, currently there are no books that balance both of these topics. This professional volume fills in the gap, allowing readers to access state-of-the-art results in one place.
Sequence Analysis and Related Approaches : Innovative Methods and Applications
Provides innovative methods and original applications of sequence analysis (SA) and related methods for analysing longitudinal data describing life trajectories such as professional careers, family paths, the succession of health statuses, or the time use. The applications as well as the methodological contributions proposed in this book pay special attention to the combined use of SA and other methods for longitudinal data such as event history analysis, Markov modelling, and sequence network. this book provides a wealth of information for social scientists interested in quantitative life course analysis, and all those working in sociology, demography, economics, health, psychology, social policy, and statistics.
Sequence Analysis and Modern C++ : The Creation of the SeqAn3 Bioinformatics Library
Every developer who previously worked with C++ will enjoy the in-depth chapter on important changes in the language from C++11 up to and including C++20. In contrast to many resources on Modern C++ that present new features only in small isolated examples, this book represents a more holistic approach: readers will understand the relevance of new features and how they interact in the context of a large software project and not just within a "toy example". Previous experience in creating software with C++ is highly recommended to fully appreciate these aspects. SeqAn3 is a new, re-designed software library. The conception and implementation process is detailed in this book, including a critical reflection on the previous versions of the library. This is particularly helpful to readers who are about to create a large software project themselves, or who are planning a major overhaul of an existing library or framework. While the focus of the book is clearly on software development and design, it also touches on various organisational and administrative aspects like licensing, dependency management and quality control.
Sepsis sévère et choc septique = Severe sepsis and septic shock
Severe sepsis and septic shock are common illnesses (several hundred thousand cases each year in Western Europe) and are associated with significant mortality rates, ranging from 30% to over 70%. Only a thorough understanding of the pathophysiology allows for the selection of appropriate therapeutic strategies to limit mortality, the primary objective of intensive care. This book is the most recent and comprehensive work on the subject. It presents the major elements of the pathophysiology in detail, yet in an accessible manner. It is the only book in French to incorporate the updated definitions of sepsis, severe sepsis, and septic shock (international consensus conference of 2001, published in 2003). This book also brings together data that are usually scattered on the resuscitation of severe sepsis and antibiotic treatment, a key tool for reducing mortality. It also reviews recent therapeutic advances: corticosteroid therapy, activated protein C, vasopressin, and terlipressin. Critical care physicians will find in the pages of this book the means to establish a reasoned, effective and up-to-date strategy for the management of severe sepsis and septic shock.
Sepsis Management in Resource-limited Settings
The book includes an overview chapter outlining the current challenges and future directions of sepsis management as well as general recommendations on the structure and organization of intensive care services in resource-limited settings. Specific recommendations on the recognition and management of patients with sepsis and septic shock in these settings are grouped into seven chapters. The book provides evidence-based practical guidance for doctors in low and middle income countries treating patients with sepsis, and highlights areas for further research and discussion.
Sepsis : New Strategies for Management
Sepsis is an important public health problem around the world. Severe sepsis carries significant morbidity, mortality and high costs. The incidence of sepsis is increasing because of the aging population, the growing number of immunocompromised hosts, the increasing use of invasive procedures, and, to a lesser extent, antibiotic resistance among pathogens. Despite recent advances in the pathogenesis, diagnosis, and therapeutic approaches the mortality rate associated with this condition remains high. Therefore, the goal of Sepsis: New Strategies is to review novel targets to be considered in patients with severe sepsis and to assess new developments for patients with sepsis originating in the respiratory tract.
Sepsis ; 1st ed.
Sepsis is a multi-factorial disease process and this volume provides comprehensive and in-depth reviews of both the basic science and more practical aspects of patient management. These include detailed information on the epidemiology and genetics of sepsis as well as the metabolic and cardiovascular responses to infection. Infectious disease, in relation to sepsis, is well covered including chapters on unusual/exotic infections, control of infection and the rational use of antibiotics. Haematological aspects of sepsis are also reviewed in detail. Further chapters focus on the currently controversial areas of clinical trial design in sepsis and protocol-driven care. A specific chapter, with illustrated cases, draws practical lessons and offers useful management "tips".
Sepsis ; 2nd ed.
Sepsis (or septic shock) is one of the leading post-surgical or post-traumatic complications in today's hospitals. This pervasive condition is the major cause of morbidity and mortality in intensive care units worldwide, as well as the leading cause of death in non-coronary patients. This is a concise, practical soft cover volume devoted to covering only the most practical information for physicians. Charts, tables, and other figures are used to illustrate easy-to-follow treatment guidelines for those professionals who regularly treat patients in the ICU.
Sensors data processing using machine learning
Collects research focusing on data processing using machine learning and deep learning. We invited investigators to contribute both original and review articles, covering the research and development in the areas of data processing using machine learning (ML) and deep learning (DL). These areas include solutions that are designed for smart devices. In this reprint, leading experts in the field share their insights, research findings, and visions for the future. Together, we embark on a journey to unlock the potential of effective data processing that involves transforming data from a given format into a more usable and desirable form, rendering them more meaningful and informative. Machine learning (ML), deep learning (DL), and artificial intelligence (AI) have proven to be effective methods for this purpose. Through the utilization of machine learning algorithms, mathematical modeling, or various statistical techniques, the entire process can be automated.
Sensors : Advancements in Modeling, Design Issues, Fabrication and Practical Applications
Sensors are the most important component in any system and engineers in any field need to understand the fundamentals of how these components work, how to select them properly and how to integrate them into an overall system. This book has outlined the fundamentals, analytical concepts, modelling and design issues, technical details and practical applications of different types of sensors, electromagnetic, capacitive, ultrasonic, vision, Terahertz, displacement, fibre-optic and so on. The book addresses the identification, modeling, selection, operation and integration of a wide variety of sensors,demonstrates the concepts of different sensors technology through simulation, design and real implementations,discusses the design and fabrication of high performance modern sensors technology,presents a selection of cutting-edge applications.
Sensor systems for gesture recognition
Gesture recognition (GR) aims to interpret human gestures, having an impact on a number of different application fields. This Special Issue is devoted to describing and examining up-to-date technologies to measure gestures, algorithms to interpret data, and applications related to GR. These technologies involve camera-based systems (e.g., ground truth system, GTS; Azura Kinect), wearable sensors (e.g., inertial measurement units, IMUs; micro electro-mechanical systems, MEMS; angular displacement sensors, ADS; resistive flex sensors, RFSs), electromagnetic field measurements (e.g., leap motion sensor), acoustic-based inputs (e.g., microphone, stethoscope), radar systems (e.g., continuous wave), and tactile sensors (e.g., pressure sensitive transistors). Data interpretations are detailed by means of classifiers (e.g., neural networks, NN; convolutional neural network, CNN; hidden Markov models, HMM; and k-nearest neighbors, kNN).
Sensor Networks and Configuration : Fundamentals, Standards, Platforms, and Applications
Advances in networking influence many kinds of monitoring and control systems in the most dramatic way. Sensor network and configuration falls under the category of modern networking systems. Wireless Sensor Network (WSN) has emerged and caters to the need for real-world applications. Methodology and design of WSN represents a broad research topic with applications in many sectors such as industry, home, computing, agriculture, environment, and so on, based on the adoption of fundamental principles and the state-of-the-art technology. WSN has been preferred choice for the design and development of next generation monitoring and control systems. This book incorporates a selection of research and development papers. Its scope is on history and background, underlying design methodology, application domains and recent developments. The readers will be able to understand the underlying technology, philosophy, concepts, ideas, and principles, with regard to broader areas of sensor network. Aspects of sensor network in terms of basics, standardization, design process, practice, techniques, platforms, and experimental results have been presented in proper order.
Sensor and Ad-Hoc Networks : Theoretical and Algorithmic Aspects
The book features valuable discussions of relevant concepts that examine the various approaches which define emerging theoretical and algorithmic aspects of sensor and ad-hoc networks. The chapters are written by the leading national and international researchers and professionals in the field. Each chapter represents the state-of-the-art research and includes several seminal contributions on such topics as network coverage, detectability, integration, energy efficiency and routing.
Sensitization of Cancer Cells for Chemo/immuno/Radio-therapy
Sensitization of Cancer Cells for Chemo/Immuno/Radio-therapy, edited by Benjamin Bonavida, reviews novel approaches developed to reverse tumor cell resistance to chemo/immuno/radio-therapy and the use of various sensitizing agents in combination with various cytotoxics. Such sensitizing agents target gene products that regulate resistance and therefore identify novel targets for drug development. This book also introduces several of the current approaches that have been developed by established investigators in the field that are aimed at overcoming resistance. This book is the first that compiles studies on tumor cell sensitization and is useful for students, scientists, clinicians and pharmaceutical companies.
Sensitivity Analysis : Matrix Methods in Demography and Ecology
This book shows how to use sensitivity analysis in demography. It presents new methods for individuals, cohorts, and populations, with applications to humans, other animals, and plants. The analyses are based on matrix formulations of age-classified, stage-classified, and multistate population models. Methods are presented for linear and nonlinear, deterministic and stochastic, and time-invariant and time-varying cases. Readers will discover results on the sensitivity of statistics of longevity, life disparity, occupancy times, the net reproductive rate, and statistics of Markov chain models in demography. They will also see applications of sensitivity analysis to population growth rates, stable population structures, reproductive value, equilibria under immigration and nonlinearity, and population cycles. Individual stochasticity is a theme throughout, with a focus that goes beyond expected values to include variances in demographic outcomes.
Sensing with Ion Channels
All living cells are able to detect and translate environmental stimuli into biologically meaningful signals. Sensations of touch, hearing, sight, taste, smell or pain are essential to the survival of all living organisms. The importance of sensory input for the existence of life thus justifies the effort made to understand its molecular origins. Sensing with Ion Channels focuses on ion channels as key molecules enabling biological systems to sense and process the physical and chemical stimuli that act upon cells in their living environment. Its aim is to serve as a reference to ion channel specialists and as a source of new information to non specialists who want to learn about the structural and functional diversity of ion channels and their role in sensory physiology.
Sensing Issues in Civil Structural Health Monitoring
Civil infrastructure systems are generally the most expensive assets in any country, and these systems are deteriorating at an alarming rate. In addition, these systems have a long service life in comparison to most other commercial products. active research in the design of new highway bridges is focused on a number of specialty areas, including the replacement of steel reinforcing bars in concrete deck slabs by randomly distributed low-modulus fibers, and the replacement of steel prestressing cables for concrete components by tendons comprising super-strong fibers. Research is also being conducted on using FRPs to repair and strengthen existing structures.
Semistructured database design
Semistructured Database Design provides an essential reference for anyone interested in the effective management of semsistructured data. Since many new and advanced web applications consume a huge amount of such data, there is a growing need to properly design efficient databases. This volume responds to that need by describing a semantically rich data model for semistructured data, called Object-Relationship-Attribute model for Semistructured data (ORA-SS). Focusing on this new model, the book discusses problems and presents solutions for a number of topics, including schema extraction, the design of non-redundant storage organizations for semistructured data, and physical semistructured database design, among others. Semistructured Database Design, presents researchers and professionals with the most complete and up-to-date research in this fast-growing field
Semiparametric Theory and Missing Data
Combines much of what is known in regard to the theory of estimation for semiparametric models with missing data in an organized and comprehensive manner. It starts with the study of semiparametric methods when there are no missing data. The description of the theory of estimation for semiparametric models is at a level that is both rigorous and intuitive, relying on geometric ideas to reinforce the intuition and understanding of the theory. These methods are then applied to problems with missing, censored, and coarsened data with the goal of deriving estimators that are as robust and efficient as possible.
Semiparametric Modeling of Implied Volatility
Fills a gap in the financial literature by bringing together both recent advances in the theory of implied volatility and refined semiparametric estimation strategies and dimension reduction methods for functional surfaces. The book introduces Nadaraya-Watson, local polynomial and least squares kernel smoothing, and dimension reduction methods such as common principle components, functional principle components models and dynamic semiparametric factor models. Throughout, most methods are illustrated with empirical investigations, simulations and pictures.
