In Avoiding Errors in Radiology: Case-Based Analysis of Causes and Preventive Strategies, the authors provide 118 real-life examples of interpretation errors and wrong decisions from both diagnostic and interventional radiology. In each case, the authors discuss in detail the context in which the errors were made, the resulting complications, and strategies for future prevention. The cases are organized by body region, beginning with the cranium and then moving to cases of the breast, chest and abdomen, spinal column, musculoskeletal and vascular systems.
Features:
118 case studies facilitate analysis and discussion of causes of errors and offer preventive strategies to transfer into daily practice
956 high-quality images and explanatory drawings illustrate the cases and pinpoint errors of interpretation and in decision making
Avoiding Errors in Radiology is a must-have reference for anyone involved in interpreting images for diagnosis and in making decisions in interventional radiology.
Описание: This is a textbook on classical polynomial and rational approximation theory for the twenty-first century. Aimed at advanced undergraduates and graduate students across all of applied mathematics, it uses MATLAB to teach the field’s most important ideas and results.
Approximation Theory and Approximation Practice, Extended Edition differs fundamentally from other works on approximation theory in a number of ways: its emphasis is on topics close to numerical algorithms; concepts are illustrated with Chebfun; and each chapter is a PUBLISHable MATLAB M-file, available online.
The book centers on theorems and methods for analytic functions, which appear so often in applications, rather than on functions at the edge of discontinuity with their seductive theoretical challenges. Original sources are cited rather than textbooks, and each item in the bibliography is accompanied by an editorial comment. In addition, each chapter has a collection of exercises, which span a wide range from mathematical theory to Chebfun-based numerical experimentation.
Автор: by Heinz Pitsch; Antonio Attili Название: Data Analysis for Direct Numerical Simulations ISBN: 3030447170 ISBN-13(EAN): 9783030447175 Издательство: Springer Рейтинг: Цена: 27950.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents methodologies for analysing large data sets produced by the direct numerical simulation (DNS) of turbulence and combustion.
Описание: The final chapter discusses PDF modelling of turbulent spray combustion.In short, the contributions in this book are highly valuable for the research community in this field, providing in-depth insight into some of the many aspects of dilute turbulent spray combustion.
Описание: The final chapter discusses PDF modelling of turbulent spray combustion.In short, the contributions in this book are highly valuable for the research community in this field, providing in-depth insight into some of the many aspects of dilute turbulent spray combustion.
Автор: Kristi Jackson, Patricia Bazeley Название: Qualitative Data Analysis with NVivo ISBN: 1526449935 ISBN-13(EAN): 9781526449931 Издательство: Sage Publications Рейтинг: Цена: 17424.00 р. Наличие на складе: Поставка под заказ.
Описание: Practical, focused and jargon-free this book shows you the power and potential of NVivo software across a wide range of research questions, data types, perspectives and methodologies.
Автор: Fred J. Hickernell, Peter Kritzer Название: Multivariate Algorithms and Information-Based Complexity ISBN: 3110633116 ISBN-13(EAN): 9783110633115 Издательство: Walter de Gruyter Цена: 19330.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
The series is devoted to the publication of high-level monographs, surveys and proceedings which cover the whole spectrum of computational and applied mathematics.
The books of this series are addressed to both specialists and advanced students.
Interested authors may submit book proposals to the Managing Editor or to any member of the Editorial Board.
Managing Editor Ulrich Langer, RICAM, Linz, Austria; Johannes Kepler University Linz, Austria
Автор: Debonis James R. Название: The Numerical Analysis of a Turbulent Compressible Jet ISBN: 1288915977 ISBN-13(EAN): 9781288915972 Издательство: Неизвестно Рейтинг: Цена: 10658.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Kumar, Ashwani, Название: Advanced numerical simulations in mechanical engineering ISBN: 1522537228 ISBN-13(EAN): 9781522537229 Издательство: Turpin Рейтинг: Цена: 24394.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Recent developments in information processing systems have driven the advancement of numerical simulations in engineering. New models and simulations enable better solutions for problem-solving and overall process improvement. Advanced Numerical Simulations in Mechanical Engineering is a pivotal reference source for the latest research findings on advanced modelling and simulation method adopted in mechanical and mechatronics engineering. Featuring extensive coverage on relevant areas such as fuzzy logic controllers, finite element analysis, and analytical models, this publication is an ideal resource for students, professional engineers, and researchers interested in the application of numerical simulations in mechanical engineering.
Описание: ?? Provides a concise but rigorous account of the theoretical background of FDA. ?? Introduces topics in various areas of mathematics, probability and statistics from the perspective of FDA. ?? Presents a systematic exposition of the fundamental statistical issues in FDA.
Автор: Little Название: Statistical Analysis with Missing Data, Third Edit ion ISBN: 0470526793 ISBN-13(EAN): 9780470526798 Издательство: Wiley Рейтинг: Цена: 12664.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Reflecting new application topics, Statistical Analysis with Missing Data offers a thoroughly up-to-date, reorganized survey of current methodology for handling missing data problems. The third edition reviews historical approaches to the subject and describe rigorous yet simple methods for multivariate analysis with missing values.
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