Описание: Over the past two decades, the Fundamentals of Operative Dentistry has become one of the most trusted textbooks on clinical restorative dentistry. By integrating time-tested methods with recent scientific innovation, the authors promote sound concepts for predictable conservative techniques. Now in its fourth edition, this classic text has been completely updated with full-color illustrations throughout and substantial revisions in every chapter to incorporate the latest scientific developments and current research findings.
In addition, new chapters on color study and shade matching address new areas of focus in the preclinical curriculum. A valuable resource for understanding the scientific basis for current treatment options in dentistry.
Автор: Bertling, Thomas (Author), Robertson, Scott (Edito Название: How to Render: The Fundamentals of Light, Shadow and Reflectivity ISBN: 1933492961 ISBN-13(EAN): 9781933492964 Издательство: Неизвестно Рейтинг: Цена: 6338.00 р. Наличие на складе: Ожидается поступление.
Описание: This book is about the fundamentals of light, shadow and reflectivity; the focus is firmly on helping to improve visual understanding of the world around and on techniques for representing that world. Rendering is the next step after drawing to communicate ideas more clearly. Building on what Scott Robertson and Thomas Bertling wrote about in How To Draw: Drawing and Sketching Objects and Environments from Your Imagination, this book shares everything the two experts know about how to render light, shadow and reflective surfaces. This book is divided into two major sections: the first explains the physics of light and shadow. One will learn how to construct proper shadows in perspective and how to apply the correct values to those surfaces. The second section focuses on the physics of reflectivity and how to render a wide range of materials utilizing this knowledge. Throughout the book, two icons appear that indicate either "observation" or "action." This means the page or section is about observing reality or taking action by applying the knowledge and following the steps in creating your own work. Similar to our previous book, How To Draw, this book contains links to free online rendering tutorials that can be accessed via the URL list or through the H2Re app.
Автор: Christopher M. Bishop Название: Pattern Recognition and Machine Learning ISBN: 0387310738 ISBN-13(EAN): 9780387310732 Издательство: Springer Рейтинг: Цена: 11878.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Familiarity with multivariate calculus and basic linear algebra is required, and some experience in the use of probabilities would be helpful though not essential as the book includes a self-contained introduction to basic probability theory.
Автор: Prasad, Kameshwar Название: Fundamentals of Evidence Based Medicine ISBN: 8132208307 ISBN-13(EAN): 9788132208303 Издательство: Springer Рейтинг: Цена: 10480.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book on evidence-based medicine (EBM) starts with an introduction to the topic. It next outlines the relationship between EBM and research and quality of care, and then goes on to cover the most commonly used modules of EBM.
Автор: Patricia A. Potter, Anne Griffin Perry, Patricia S Название: Fundamentals of Nursing, 9ed. ISBN: 0323327400 ISBN-13(EAN): 9780323327404 Издательство: Elsevier Science Рейтинг: Цена: 17979.00 р. Наличие на складе: Поставка под заказ.
Описание: It's your complete guide to nursing - from basic concepts to essential skills! Fundamentals of Nursing, 9th Edition prepares you to succeed as a nurse by providing a solid foundation in critical thinking, evidence-based practice, nursing theory, and safe clinical care in all settings. With illustrated, step-by-step guidelines, this book makes it easy to learn important skills and procedures. Care plans are presented within a nursing process framework, and case studies show how to apply concepts to nursing practice.
From an expert author team led by Patricia Potter and Anne Griffin Perry, this bestselling nursing textbook helps you develop the understanding and clinical reasoning you need to provide excellent patient care. 51 skills demonstrations provide illustrated, step-by-step instructions for safe nursing care - and include rationales for each step. 29 procedural guidelines provide streamlined, step-by-step instructions for performing basic skills.
UNIQUE! Critical Thinking Models in each clinical chapter show how to apply the nursing process and critical thinking to achieve successful clinical outcomes. Evidence-Based Practice chapter shows how nursing research helps in determining best practices. UNIQUE! Caring for the Cancer Survivor chapter prepares nurses to care for cancer patients who may still face physical and emotional issues.
Case studies include unique clinical application questions and exercises, allowing you to practice using care plans and concept maps. The 5-step nursing process provides a consistent framework for care, and is demonstrated in more than 20 care plans. 15 review questions in every chapter test your retention of key concepts, with answers available in the book and on the Evolve companion website.
Practical study tools on Evolve include video clips of skills, skills checklists, printable key points, a fluid & electrolytes tutorial, a concept map creator, an audio glossary, and more. UNIQUE! Clear, streamlined writing style makes complex material more approachable. More than 20 concept maps show care planning for clients with multiple nursing diagnoses.
Key points and key terms in each chapter summarize important content for more efficient review and study. Unexpected Outcomes and Related Interventions for each skill alert you to potential problems and appropriate nursing actions. Delegation coverage clarifies which tasks can and cannot be delegated.
A glossary provides quick access to definitions for all key terms. UPDATED! Patient Safety and Quality chapter describes how quality and safety apply to the nurse, and includes a new skill on fall prevention in healthcare settings. NEW content addresses the Affordable Care Act, patients' perspectives on hospital care as measured by HCAHPS surveys, health disparities and vulnerable populations, compassion fatigue, pain assessment, patient education techniques like teach-back, new equipment, Healthy People 2020, and more.
NEW! Additional alternate-item review questions include at least four alternate-item questions - multiple select, sequencing/priority, delegation, hot-spot images, and fill-in-the blank for medications - for every chapter. Expanded Building Competency boxes help you apply QSEN (Quality & Safety Education for Nurses) competencies to realistic clinical situations. UPDATED! Unique Evidence-Based Practice boxes in every chapter include a PICO question - the Problem, Intervention, Comparison, and Outcome - and summarize a research study along with its application to nursing practice.
Over 100 NEW photos clarify procedures and familiarize you with the latest clinical equipment.
Автор: Guido Sarah Название: Introduction to Machine Learning with Python ISBN: 1449369413 ISBN-13(EAN): 9781449369415 Издательство: Wiley Рейтинг: Цена: 9502.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Machine learning has become an integral part of many commercial applications and research projects, but this field is not exclusive to large companies with extensive research teams. If you use Python, even as a beginner, this book will teach you practical ways to build your own machine learning solutions.
Data Mining: Practical Machine Learning Tools and Techniques, Fourth Edition, offers a thorough grounding in machine learning concepts, along with practical advice on applying these tools and techniques in real-world data mining situations. This highly anticipated fourth edition of the most acclaimed work on data mining and machine learning teaches readers everything they need to know to get going, from preparing inputs, interpreting outputs, evaluating results, to the algorithmic methods at the heart of successful data mining approaches.
Extensive updates reflect the technical changes and modernizations that have taken place in the field since the last edition, including substantial new chapters on probabilistic methods and on deep learning. Accompanying the book is a new version of the popular WEKA machine learning software from the University of Waikato. Authors Witten, Frank, Hall, and Pal include today's techniques coupled with the methods at the leading edge of contemporary research.
Please visit the book companion website at https: //www.cs.waikato.ac.nz/ ml/weka/book.html.
It contains
Powerpoint slides for Chapters 1-12. This is a very comprehensive teaching resource, with many PPT slides covering each chapter of the book
Online Appendix on the Weka workbench; again a very comprehensive learning aid for the open source software that goes with the book
Table of contents, highlighting the many new sections in the 4th edition, along with reviews of the 1st edition, errata, etc.
Provides a thorough grounding in machine learning concepts, as well as practical advice on applying the tools and techniques to data mining projects
Presents concrete tips and techniques for performance improvement that work by transforming the input or output in machine learning methods
Includes a downloadable WEKA software toolkit, a comprehensive collection of machine learning algorithms for data mining tasks-in an easy-to-use interactive interface
Includes open-access online courses that introduce practical applications of the material in the book
Автор: Ozkaya Название: Fundamentals of Biomechanics 4 ed ISBN: 3319447378 ISBN-13(EAN): 9783319447377 Издательство: Springer Рейтинг: Цена: 12577.00 р. Наличие на складе: Поставка под заказ.
Описание: This textbook integrates the classic fields of mechanics—statics, dynamics, and strength of materials—using examples from biology and medicine. The book is excellent for teaching either undergraduates in biomedical engineering programs or health care professionals studying biomechanics at the graduate level. Extensively revised from a successful third edition, Fundamentals of Biomechanics features a wealth of clear illustrations, numerous worked examples, and many problem sets. The book provides the quantitative perspective missing from more descriptive texts, without requiring an advanced background in mathematics. It will be welcomed for use in courses such as biomechanics and orthopedics, rehabilitation and industrial engineering, and occupational or sports medicine.This book:Introduces the fundamental concepts, principles, and methods that must be understood to begin the study of biomechanicsReinforces basic principles of biomechanics with repetitive exercises in class and homework assignments given throughout the textbookIncludes over 100 new problem sets with solutions and illustrations
Автор: Richards Mark A. Название: Fundamentals of Radar Signal Processing, Second Edition ISBN: 0071798323 ISBN-13(EAN): 9780071798327 Издательство: McGraw-Hill Рейтинг: Цена: 11667.00 р. Наличие на складе: Поставка под заказ.
Описание: This detailed guide clearly and concisely presents radar digital signal processing for both practicing engineers and engineering students.
Автор: Gopal B. Saha Название: Fundamentals of Nuclear Pharmacy ISBN: 3319575791 ISBN-13(EAN): 9783319575797 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Currently an estimated 17 million nuclear medicine procedures are performed each year in the US and constantly evolving, as new radiopharmaceuticals and imaging techniques are introduced for better diagnosis and treatment of human diseases.
A comprehensive introduction to the most important machine learning approaches used in predictive data analytics, covering both theoretical concepts and practical applications.
Machine learning is often used to build predictive models by extracting patterns from large datasets. These models are used in predictive data analytics applications including price prediction, risk assessment, predicting customer behavior, and document classification. This introductory textbook offers a detailed and focused treatment of the most important machine learning approaches used in predictive data analytics, covering both theoretical concepts and practical applications. Technical and mathematical material is augmented with explanatory worked examples, and case studies illustrate the application of these models in the broader business context.
After discussing the trajectory from data to insight to decision, the book describes four approaches to machine learning: information-based learning, similarity-based learning, probability-based learning, and error-based learning. Each of these approaches is introduced by a nontechnical explanation of the underlying concept, followed by mathematical models and algorithms illustrated by detailed worked examples. Finally, the book considers techniques for evaluating prediction models and offers two case studies that describe specific data analytics projects through each phase of development, from formulating the business problem to implementation of the analytics solution. The book, informed by the authors' many years of teaching machine learning, and working on predictive data analytics projects, is suitable for use by undergraduates in computer science, engineering, mathematics, or statistics; by graduate students in disciplines with applications for predictive data analytics; and as a reference for professionals.
Pharmacognosy: Fundamentals, Applications and Strategies explores a basic understanding of the anatomy and physiology of plants and animals, their constituents and metabolites. This book also provides an in-depth look at natural sources from which medicines are derived, their pharmacological and chemical properties, safety aspects, and how they interact with humans.
The book is vital for future research planning, helping readers understand the makeup, function, and metabolites of plants in a way where the history of their usage can be linked to current drug development research, including in vitro, in vivo, and clinical research data.
By focusing on basic principles, current research, and global trends, this book provides a critical resource for students and researchers in the areas of pharmacognosy, pharmacy, botany, medicine, biotechnology, biochemistry, and chemistry.
Covers the differences between animal and plant cells to facilitate an easier transition to how the body interacts with these entities
Contains practice questions at the end of every chapter to test learning and retention
Provides a single source that covers fundamental topics and future strategies, with the goal of enabling further research that will contribute to the overall health and well-being of mankind
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