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Mastering Emergency Medicine is a concise, revision-focused textbook that covers everything that candidates need to know in order to pass the College of Emergency Medicine's (CEM) membership examination (MCEM) to enter training, and to the pass fellowship examination (FCEM) to complete the Certificate of Specialist Training.With over 100 OSCE scena
The second edition of a succinct and portable text reviewing the clinical approach to emergency medicine and critical care.
Inherent to the teaching and practice of emergency medicine are specific challenges not found in other specialties - the unknowns of the emergency department, the need to identify life- and limb-threatening conditions, the pressure to solve problems and find solutions quickly, and the orchestration of clinical specialists and ancillary services. Because of these unique demands, books written by clinicians from other disciplines, that extrapolate their information from other specialties, aren’t always suitable references for teachers of emergency medicine. This book is different – it shows how to incorporate effective teaching strategies into the unique teaching atmosphere of the emergency department, how to effectively lecture, lead small groups, give feedback, foster life-long faculty development skills, and much more – it is written by emergency medicine physicians for emergency medicine physicians. Practical Teaching in Emergency Medicine gets to the essential core of how to best teach the art of practicing emergency medicine – and provides the blueprint to become a better teacher, providing guidance on how to accomplish skilful teaching in busy emergency departments. It provides emergency physicians and trainees with the necessary tools to effectively and efficiently transmit information to learners in the often times chaotic emergency department environment.
Practical in situ Hybridization is aimed at those who wish to learn and use efficient and reliable protocols in their work, and at researchers checking the validity and interpretation of published data.; In situ hybridization methods can be used to identi
Data Mining: Practical Machine Learning Tools and Techniques, Third Edition, offers a thorough grounding in machine learning concepts as well as practical advice on applying machine learning tools and techniques in real-world data mining situations. This highly anticipated third edition of the most acclaimed work on data mining and machine learning will teach you everything you need to know about preparing inputs, interpreting outputs, evaluating results, and the algorithmic methods at the heart of successful data mining. Thorough updates reflect the technical changes and modernizations that have taken place in the field since the last edition, including new material on Data Transformations, Ensemble Learning, Massive Data Sets, Multi-instance Learning, plus a new version of the popular Weka machine learning software developed by the authors. Witten, Frank, and Hall include both tried-and-true techniques of today as well as methods at the leading edge of contemporary research. The book is targeted at information systems practitioners, programmers, consultants, developers, information technology managers, specification writers, data analysts, data modelers, database R&D professionals, data warehouse engineers, data mining professionals. The book will also be useful for professors and students of upper-level undergraduate and graduate-level data mining and machine learning courses who want to incorporate data mining as part of their data management knowledge base and expertise. Provides a thorough grounding in machine learning concepts as well as practical advice on applying the tools and techniques to your data mining projects Offers concrete tips and techniques for performance improvement that work by transforming the input or output in machine learning methods Includes downloadable Weka software toolkit, a collection of machine learning algorithms for data mining tasks—in an updated, interactive interface. Algorithms in toolkit cover: data pre-processing, classification, regression, clustering, association rules, visualization
Making statistics—and statistical software—accessible and rewarding This book provides readers with step-by-step guidance on running a wide variety of statistical analyses in IBM® SPSS® Statistics, Stata, and other programs. Author David Kremelberg begins his user-friendly text by covering charts and graphs through regression, time-series analysis, and factor analysis. He provides a background of the method, then explains how to run these tests in IBM SPSS and Stata. He then progresses to more advanced kinds of statistics such as HLM and SEM, where he describes the tests and explains how to run these tests in their appropriate software including HLM and AMOS. This is an invaluable guide for upper-level undergraduate and graduate students across the social and behavioral sciences who need assistance in understanding the various statistical packages.
This textbook provides comprehensive, in-depth coverage of the fundamental concepts of electrical engineering. It is written from an engineering perspective, with special emphasis on circuit functionality and applications. Reliance on higher-level mathematics and physics, or theoretical proofs has been intentionally limited in order to prioritize the practical aspects of electrical engineering. This text is therefore suitable for a number of introductory circuit courses for other majors such as mechanical, biomedical, aerospace, civil, architecture, petroleum, and industrial engineering. The authors’ primary goal is to teach the aspiring engineering student all fundamental tools needed to understand, analyze and design a wide range of practical circuits and systems. Their secondary goal is to provide a comprehensive reference, for both major and non-major students as well as practicing engineers.
This authoritative manual offers safe, accessible and reliable first aid information in one handy volume. Clear step-by-step techniques, how to deal with accidents in the home, workplace and outdoors.