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Medical Emergency Teams : Implementation and Outcome Measurement
Why Critical Care Evolved METs? In early 2004, when Dr. Michael DeVita informed me that he was cons- ering a textbook on the new concept of Medical Emergency Teams (METs), I was surprised. At Presbyterian-University Hospital in Pittsburgh we int- duced this idea some 15 years ago, but did not think it was revolutionary enough to publish. This, even though, our fellows in critical care medicine training were all involved and informed about the importance of “C- dition C (Crisis),” as it was called to distinguish it from “Condition A (Arrest). ”We thought it absurd to intervene only after cardiac arrest had occurred,because most cases showed prior deterioration and cardiac arrest could be prevented with rapid team work to correct precluding problems. The above thoughts were logical in Pittsburgh, where the legendary Dr. Peter Safar had been working since the late 1950s on improving current resuscitation techniques, ?rst ventilation victims of apneic from drowning, treatment of smoke inhalation, and so on. This was followed by external cardiac compression upon demonstration of its ef?ciency in cases of unexpected sudden cardiac arrest. Dr. Safar devoted his entire professional life to improvement of cardiopulmonary resuscitation. He and many others emphasized the importance of getting the CPR team to o- of-hospital victims of cardiac arrest as quickly as possible.
Medical data processing and analysis
Medical data can be defined as obtaining information from patients (such as signals, images, sounds, chemical components and their concentration, body temperature, respiratory rate, blood pressure, and different treatment measurements) to quantify the patient’s status and disease stage. Computer-aided diagnostic (CAD) systems use classical image processing, computer vision, machine learning, and deep learning methods for image analysis. Using image classification or segmentation algorithms, they find a region of interest (ROI) pointing to a specific location within the given image or an outcome of interest in the form of a label pointing to a diagnosis or prognosis. Computer science, with the evolution of artificial intelligence and machine learning techniques, facilitates the modeling and interpretation of results—from carrying out measurements to experiments and observations.
Medical Biometrics ; 1st International Conference, ICMB 2008, Hong Kong, China, January 4-5, 2008, Proceedings
Medical biometrics primarily refers to the usage of beh- ioral and physiological characteristics of humans for medical diagnosis and body care. Thus the goal of medical biometrics is to explore solutions to the open problems in medicine using biometric measurements, technologies and systems.
Media Theory : Interdisciplinary Applied Mathematics
The focus of this book is a mathematical structure modeling a physical or biological system that can be in any of a number of `states.' Each state is characterized by a set of binary features, and differs from some other neighbor state or states by just one of those feature. A simple example of a `state’ is a partial solution of a jigsaw puzzle, which can be transformed into another partial solution or into the final solution just by adding or removing a single adjoining piece. The evolution of such a system over time is considered. Such a structure is analyzed from algebraic and probabilistic (stochastic) standpoints.
Mechanizing Mathematical Reasoning : Essays in Honor of Jörg H. Siekmann on the Occasion of His 60th Birthday
By presenting state-of-the-art results in logical reasoning and formal methods in the context of artificial intelligence and AI applications, this book commemorates the 60th birthday of Jörg H. Siekmann. The 30 revised reviewed papers are written by former and current students and colleagues of Jörg Siekmann; also included is an appraisal of the scientific career of Jörg Siekmann entitled "A Portrait of a Scientist: Logics, AI, and Politics." The papers are organized in four parts on logic and deduction, applications of logic, formal methods and security, and agents and planning.
Mechanisms of Sepsis-Induced Organ Dysfunction and Recovery
There have been tremendous advances in understanding the cellular mechanisms involved in sepsis and contributing to the development of multiple organ dysfunction and mortality in this setting. The chapters in this book provide up-to-date insights into important pathways that are initiated by sepsis.
Mechanics of Biological Tissue
The mechanics of biological tissues is a multidisciplinary and rapidly expanding area of research. This book highlights some important research directions that combine mechanical sciences with exciting new developments in biology. This collection of papers should be of interest to theoretical, computational and experimental researchers and doctoral students in the area of biomechanics and in related areas of engineering, biology and medicine.
Mechanics : From Newton's Laws to Deterministic Chaos
This updated and revised fourth edition covers all topics in mechanics from elementary Newtonian mechanics, canonical and rigid body mechanics to relativistic mechanics and nonlinear dynamics. In particular, symmetries and invariance principles, geometrical structures and continuum mechanics play an important role. This book will enable the reader to develop general principles from which equations of motions may be derived, to understand the importance of symmetries as a basis for quantum mechanics and to get practice in using theoretical tools and concepts that are essential for all branches of physics. The book contains numerous problems with complete solutions, and some practical examples.This will be appreciated in particular by students using the text to accompnay lectures on mechanics. The book ends with some historical remarks on important pioneers in mechanics.
Mechanical Modelling and Computational Issues in Civil Engineering
In this edited book various novel approaches to problems of modern civil engineering are demonstrated. Experts associated within the Lagrange Laboratory present recent research results in civil engineering dealing both with modelling and computational aspects.
Mechanical Behaviour of Engineering Materials : Metals, Ceramics, Polymers, and Composites
How do engineering materials deform when bearing mechanical loads? To answer this crucial question, the book bridges the gap between continuum mechanics and materials science. The different kinds of material deformation (elasticity, plasticity, fracture, creep, fatigue) are explained in detail. The book also discusses the physical processes occurring during the deformation of all classes of engineering materials (metals, ceramics, polymers, and composites) and shows how these materials can be strengthened to meet the design requirements. It provides the knowledge needed in selecting the appropriate engineering material for a certain design problem. The reader will thus learn how to critically employ design rules and thus to avoid failure of mechanical components.
Mécanique céleste et contrôle des véhicules spatiaux = Celestial mechanics and spacecraft control
The textbook contains two parts: Part 1 is an introduction to celestial mechanics, and part II is devoted to the control of cosmic vehicles motion.The book is written in a clear mathematical style-Definition-Proposition-Lemma-Theorem-Corollary-and is almost self contained.
Measuring Precipitation from Space : EURAINSAT and the Future
More than 20 years after the last book on the subject the worldwide precipitation community has produced a comprehensive overview of its activities, achievements, ongoing research and future plans. Measuring Precipitation from Space presents state-of-the-art rainfall estimation algorithms, validation strategies, precipitation modelling, and assimilation in numerical weather prediction models. Clouds and precipitation observations and modelling are addressed for the improvement of the rainfall product quality. Special attention is given to the applications to monitoring and forecasting weather events and to climate monitoring in a frame of growing public interest.
Measuring Entrepreneurship : Building a Statistical System
This volume provides a comprehensive review of the theoretical concepts and empirical models of entrepreneurship from a non-conventional perspective. Its main purpose is to contribute to the design of an efficient system of indicators of entrepreneurship and competitiveness. The existence of a gap between the theory of entrepreneurship and the methods and data available for testing its main propositions has been widely recognized. Hence, some of the most prestigious researchers have collaborated to review and develop the statistical sources, indicators and proxies currently available for empirical studies on the phenomena of entrepreneurship. The book thereby makes recent advances in the theory and application of the economics of entrepreneurship accessible to a wider audience, including policy makers, emphasizing data requirements to advance the future research agenda and to allow for a better design and monitoring of entrepreneurial policy.
Measuring emission of agricultural greenhouse gases and developing mitigation options using nuclear and related Techniques : Applications of nuclear techniques for GHGs
This book is an outcome of the collaboration between the Soil and Water Management & Crop Nutrition Section, Joint FAO/IAEA Division of Nuclear Techniques in Food and Agriculture, Department of Nuclear Sciences and Applications, International Atomic Energy Agency (IAEA), Vienna, Austria, and the German Science Foundation research unit DASIM (Denitrification in Agricultural Soils: Integrated control and Modelling at various scales) and other institutes.
Measurement, Control, and Communication Using IEEE 1588
IEEE 1588, published in November 2002, is a technology new to the engineering community expanding the performance capabilities of Ethernet networks so that they become relevant for measurement and control; this monograph embodies the first unified treatment of the associated technology, standards and applications. Readers unfamiliar with IEEE 1588 will gain understanding of the context of the technology it represents and, from three chapters of case studies, its role in a variety of application settings.
Measurement Uncertainty : An Approach via the Mathematical Theory of Evidence
This text is the first to make full use of the mathematical theory of evidence to express the uncertainty in measurements. It gives an overview of the current standard, then pinpoints and constructively resolves its limitations through its unique approach. The text presents various tools for evaluating uncertainty, beginning with the probabilistic approach and concluding with the expression of uncertainty using random-fuzzy variables. The exposition is driven by numerous examples. The book is designed for immediate use and application in research and laboratory work.
Measurement Uncertainties in Science and Technology
At the turn of the 19th century, Carl Friedrich Gauß founded error calculus by predicting the then unknown position of the planet Ceres. Ever since, error calculus has occupied a place at the heart of science. In this book, Grabe illustrates the breakdown of traditional error calculus in the face of modern measurement techniques. Revising Gauß’ error calculus ab initio, he treats random and unknown systematic errors on an equal footing from the outset. Furthermore, Grabe also proposes what may be called well defined measuring conditions, a prerequisite for defining confidence intervals that are consistent with basic statistical concepts. The resulting measurement uncertainties are as robust and reliable as required by modern-day science, engineering and technology.
Measurement Errors and Uncertainties : Theory and Practice
Measurement Errors and Uncertainties addresses the most important problems that physicists and engineers encounter when estimating errors and uncertainty. Building from the fundamentals of measurement theory, the author develops the theory of accuracy of measurements and offers a wealth of practical recommendations and examples of applications.
Measure, Integration & Real Analysis
This book welcomes students into the fundamental theory of measure, integration, and real analysis. Focusing on an accessible approach, Axler lays the foundations for further study by promoting a deep understanding of key results.
Measure Theory and Probability Theory
The book can be used as a text for a two semester sequence of courses in measure theory and probability theory, with an option to include supplemental material on stochastic processes and special topics.Prerequisites are kept to the minimal level of an understanding of basic real analysis concepts such as limits, continuity, differentiability, Riemann integration, and convergence of sequences and series. A review of this material is included in the appendix. The book starts with an informal introduction that provides some heuristics into the abstract concepts of measure and integration theory, which are then rigorously developed. The first part of the book can be used for a standard real analysis course for both mathematics and statistics Ph.D. students as it provides full coverage of topics such as the construction of Lebesgue-Stieltjes measures on real line and Euclidean spaces, the basic convergence theorems, L^p spaces, signed measures, Radon-Nikodym theorem, Lebesgue's decomposition theorem and the fundamental theorem of Lebesgue integration on R, product spaces and product measures, and Fubini-Tonelli theorems. It also provides an elementary introduction to Banach and Hilbert spaces, convolutions, Fourier series and Fourier and Plancherel transforms.
