Fundamentals Of Optimization Techniques With Algorithms, Nayak, Sukanta
Название: Couture Sewing Techniques, Revised and Updated ISBN: 1600853358 ISBN-13(EAN): 9781600853357 Издательство: Wiley Рейтинг: Цена: 3773.00 р. Наличие на складе: Заказано в издательстве.
Описание: A guide to the techniques that define couture sewing. It helps sewers of various skill levels with an interest in fashion sewing learn the basics for skirts and sleeves, pockets and jackets, evening gowns and more, as well as, how to apply the techniques.
Описание: Theresa Welford`s Trans-Atlantic Connections: The Movement and New Formalism is the first book to explore the important connections between the brash young British writers who coalesced into a controversial poetic and critical movement in the 1950s and the brash young American writers who coalesced into an equally controversial movement in the 1980s.
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: Mattesi Mike Название: Force: Drawing Human Anatomy ISBN: 0415733979 ISBN-13(EAN): 9780415733977 Издательство: Taylor&Francis Рейтинг: Цена: 5817.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
The newest book in Michael Mattesi's Force Drawing series takes movement to the next level. Force: Drawing Human Anatomy, explores the different facets of motion and the human body. As opposed to the memorization technique, Mattesi stresses the function of each body part and how gravity relative to different poses affects the aesthetics and form of muscle. The chapters are divided by the different parts of the body, thus allowing the reader to concentrate on mastery one body part at a time. Color coded images detail each muscle and their different angles. Special consideration is given to anatomy for animation, allowing the reader to create a character that is anatomically accurate in both stillness and motion.
Key Features
Detailed visual instruction includes colourful, step-by-step diagrams that allow you to easily follow the construction of an anatomically correct figure.
Clearly organized and color coded per regions of the body's anatomy, a clarity of design for better reader understanding.
Learn how anatomy is drawn and defined by the function of a pose.
Visit the companion website for drawing demonstrations and further resources on anatomy.
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.
Автор: Mattle, Prof. Heinrich, M.D. (Clinic of Neurology, Berne University, Berne, Switzerland) Mumenthaler, Prof. Marco Название: Fundamentals of Neurology: An Illustrated Guide, 2 ed. ISBN: 3131364521 ISBN-13(EAN): 9783131364524 Издательство: Thieme Verlagsgruppe Рейтинг: Цена: 14037.00 р. Наличие на складе: Нет в наличии.
Описание:
The essential "neurotransmitter" for assimilating the basics of clinical neurology
The second edition of this practical guide provides a thorough introduction to the essential concepts of clinical neurology. Coverage includes history-taking; the neurological examination and ancillary tests; topical diagnosis and differential diagnosis of typical syndromes; the diseases of the central nervous system, peripheral nerves, autonomic nervous system, and muscles; epilepsy; and inflammatory diseases such as multiple sclerosis.
Central to the book are the lucid structuring of complex contents allowing efficient learning, even without prior knowledge of the subject; and the vital link between theory and clinical practice, with essential information on history-taking, the clinical examination, and additional tests, all supported by informative graphics and appropriate computed tomography or magnetic resonance imaging studies.
Key Features:
Complete revision of contents and an enhanced layout from the first edition
Brilliant format and structure, making the assimilation of complex information easy and efficient
Clear color illustrations and graphics, many new or revised for the second edition
Comprehensive tables expand and organize information on many topics
Vast clinical experience of two highly respected university teachers
Fundamentals of Neurology: An Illustrated Guide, Second Edition, is the ideal introduction to clinical neurology for medical students, physical therapists, and other professionals involved in patient care.
Fundamentals of Environmental and Toxicological Chemistry: Sustainable Science, Fourth Edition covers university-level environmental chemistry, with toxicological chemistry integrated throughout the book. This new edition of a bestseller provides an updated text with an increased emphasis on sustainability and green chemistry. It is organized based on the five spheres of Earth's environment: (1) the hydrosphere (water), (2) the atmosphere (air), (3) the geosphere (solid Earth), (4) the biosphere (life), and (5) the anthrosphere (the part of the environment made and used by humans).
The first chapter defines environmental chemistry and each of the five environmental spheres. The second chapter presents the basics of toxicological chemistry and its relationship to environmental chemistry. Subsequent chapters are grouped by sphere, beginning with the hydrosphere and its environmental chemistry, water pollution, sustainability, and water as nature's most renewable resource. Chapters then describe the atmosphere, its structure and importance for protecting life on Earth, air pollutants, and the sustainability of atmospheric quality. The author explains the nature of the geosphere and discusses soil for growing food as well as geosphere sustainability. He also describes the biosphere and its sustainability.
The final sphere described is the anthrosphere. The text explains human influence on the environment, including climate, pollution in and by the anthrosphere, and means of sustaining this sphere. It also discusses renewable, nonpolluting energy and introduces workplace monitoring. For readers needing additional basic chemistry background, the book includes two chapters on general chemistry and organic chemistry. This updated edition includes three new chapters, new examples and figures, and many new homework problems.
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.
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
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
Автор: Rosner, Bernard Название: Fundamentals of Biostatistics, 8 ed. ISBN: 130526892X ISBN-13(EAN): 9781305268920 Издательство: Cengage Learning Рейтинг: Цена: 22506.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: FUNDAMENTALS OF BIOSTATISTICS leads you through the methods, techniques, and computations of statistics necessary for success in the medical field. Every new concept is developed systematically through completely worked out examples from current medical research problems.
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