Students will receive a grounding in areas that vary from treatment to organizational and community settings. This edition also includes of new case studies, practice examples and guiding principles.

    Thisupdated and expanded edition retains the popular and innovativefeatures of previous editions-including Feature Problems, follow-upIntegrative and Practice Exercises to accompany every in-chapterExample, and Focus On application boxes, as well as new Keep inMind marginal notes. Topics covered include atoms and the atomictheory, chemical compounds and reactions, gases, Thermochemistry, electrons in atoms, chemical bonding, liquids, solids, andintermolecular forces, chemical kinetics, principles of chemicalequilibrium, acids and bases, electrochemistry, representative andtransitional elements, and nuclear and organic chemistry. Forindividuals interested in a broad overview of chemical principles andapplications

    In this guide for students, each equation is the subject of an entire chapter, with detailed, plain-language explanations of the physical meaning of each symbol in the equation, for both the integral and differential forms. The final chapter shows how Maxwell's equations may be combined to produce the wave equation, the basis for the electromagnetic theory of light. This book is a wonderful resource for undergraduate and graduate courses in electromagnetism and electromagnetics. A website hosted by the author at www.cambridge.org/9780521701471 contains interactive solutions to every problem in the text as well as audio podcasts to walk students through each chapter.

    This book offers a full range of exercises, a precise and conceptual presentation, and a new media package designed specifically to meet the needs of today's readers. The exercises gradually increase in difficulty, helping readers learn to generalize and apply the concepts. The refined table of contents introduces the exponential, logarithmic, and trigonometric functions in Chapter 7 of the text.KEY TOPICS Functions, Limits and Continuity, Differentiation, Applications of Derivatives, Integration, Applications of Definite Integrals, Integrals and Transcendental Functions, Techniques of Integration, Further Applications of Integration, Conic Sections and Polar Coordinates, Infinite Sequences and Series, Vectors and the Geometry of Space, Vector-Valued Functions and Motion in Space, Partial Derivatives, Multiple Integrals, Integration in Vector Fields.MARKET For all readers interested in Calculus.

    It provides the general knowledge of mammalian structure that is crucial to the understanding of the other basic sciences, as well as the more detailed information that is directly applicable to the practice of veterinary medicine. Discussing the various body systems, it then offers a working knowledge of them by addressing the regional anatomy of a particular species or group of species.Content is divided into two main sections - body systems and specific species or group of species - for a thorough and more logical study of anatomy.All chapters feature a consistent format, offering a simple and even flow of information.Color inserts enhance the overall quality of the book and better illustrate various anatomical areas of concern.Both small and large animals are covered - including the horse, pig, cow, dog, and cat - to emphasize features and topics that have direct relevance to clinical work. Also included is a chapter on Avian Anatomy.Content has been streamlined to include only the most important information.A new section on imaging greatly enhances diagnostic procedures.The addition of new illustrations provides an emphasis on surface anatomy throughout the text.

    KEY TOPICS: The major changes of the revision are reorganization of chapter material and the addition of a much wider range of difficulties.

    Like earlier editions of the book, physical concepts are highlighted while also giving necessary attention to math-ematical techniques. Both theory and modeling are developed from simple beginnings so that they can be readily extended to new and complex situations. Beginning in Ch. 3, students are introduced to new concepts critical to analyzing power systems, including coverage of both balanced and unbalanced operating conditions. The authors incorporate new tools and material to aid students with design issues and reflect recent trends in the field. Each book now contains a CD with Power World software. This package is commonly used in industry and will enable students to analyze and simulate power systems. The authors use the software to extend, rather than replace, the fully worked examples provided in previous editions. In the new edition, each Power World Simulator example includes a fully worked hand solution of the problem along with a Power World Simulator case (except when the problem size makes it impractical). The new edition also contains updated case studies on recent trends in the Power Systems field, including coverage of deregulation, increased power demand, economics, and alternative sources of energy. These case studies are derived from real life situations.

    It offers superior coverage of all key areas, including descriptive chemistry, MO theory, bonding, and physical inorganic chemistry. Chapter topics are presented in logical order and include: basic concepts; nuclear properties; an introduction to molecular symmetry; bonding in polyatomic molecules; structures and energetics of metallic and ionic solids; acids, bases, and ions in aqueous solution; reduction and oxidation; non-aqueous media; and hydrogen. Four special topic chapters, chosen for their currency and interest, conclude the book. For researchers seeking the latest information in the field of inorganic chemistry.

    These topics lie at the heart of many exciting areas of contemporary science and engineering - communication, signal processing, data mining, machine learning, pattern recognition, computational neuroscience, bioinformatics, and cryptography. This textbook introduces theory in tandem with applications. Information theory is taught alongside practical communication systems, such as arithmetic coding for data compression and sparse-graph codes for error-correction. A toolbox of inference techniques, including message-passing algorithms, Monte Carlo methods, and variational approximations, are developed alongside applications of these tools to clustering, convolutional codes, independent component analysis, and neural networks. The final part of the book describes the state of the art in error-correcting codes, including low-density parity-check codes, turbo codes, and digital fountain codes -- the twenty-first century standards for satellite communications, disk drives, and data broadcast. Richly illustrated, filled with worked examples and over 400 exercises, some with detailed solutions, David MacKay's groundbreaking book is ideal for self-learning and for undergraduate or graduate courses. Interludes on crosswords, evolution, and sex provide entertainment along the way. In sum, this is a textbook on information, communication, and coding for a new generation of students, and an unparalleled entry point into these subjects for professionals in areas as diverse as computational biology, financial engineering, and machine learning.

    Try out more than 1,000 commands to find and get software, monitor system health and security, and access network resources. Then, apply the skills you learn from this book to use and administer desktops and servers running Ubuntu, Debian, and KNOPPIX or any other Linux distribution.

    This guide also helps you understand the many data-mining techniques in use today.Based on an MBA course Provost has taught at New York University over the past ten years, Data Science for Business provides examples of real-world business problems to illustrate these principles. You’ll not only learn how to improve communication between business stakeholders and data scientists, but also how participate intelligently in your company’s data science projects. You’ll also discover how to think data-analytically, and fully appreciate how data science methods can support business decision-making.Understand how data science fits in your organization—and how you can use it for competitive advantageTreat data as a business asset that requires careful investment if you’re to gain real valueApproach business problems data-analytically, using the data-mining process to gather good data in the most appropriate wayLearn general concepts for actually extracting knowledge from dataApply data science principles when interviewing data science job candidates

    These sections together make an appropriate one-term advanced/graduate level course (mathematical prerequisites: vector analysis and simple partial-differential equations). The book is printed to make it easy for readers to identify these sections.• The remaining Track 2 material provides a wealth of advanced topics instructors can draw from to flesh out a two-term course, with Track 1 sections serving as prerequisites.

    This book provides an introduction to the field of solid state physics for undergraduate students in physics, chemistry, engineering, and materials science.

    Because the computer gathers knowledge from experience, there is no need for a human computer operator to formally specify all the knowledge that the computer needs. The hierarchy of concepts allows the computer to learn complicated concepts by building them out of simpler ones; a graph of these hierarchies would be many layers deep. This book introduces a broad range of topics in deep learning.The text offers mathematical and conceptual background, covering relevant concepts in linear algebra, probability theory and information theory, numerical computation, and machine learning. It describes deep learning techniques used by practitioners in industry, including deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology; and it surveys such applications as natural language processing, speech recognition, computer vision, online recommendation systems, bioinformatics, and videogames. Finally, the book offers research perspectives, covering such theoretical topics as linear factor models, autoencoders, representation learning, structured probabilistic models, Monte Carlo methods, the partition function, approximate inference, and deep generative models.Deep Learning can be used by undergraduate or graduate students planning careers in either industry or research, and by software engineers who want to begin using deep learning in their products or platforms. A website offers supplementary material for both readers and instructors.

    The 5th edition has been completely updated and includes a Companion CD-ROM that contains animations, NCLEX(R) examination-style review questions, printable IV therapy and medication safety checklists, drug calculation problems, and convenient electronic calculators.A separate drug calculations section - Medications and Calculations - features 65 pages of math review and step-by-step instructions for dosage calculations using the four primary methods - basic formula, ratio and proportion, dimensional analysis, and fractional equation. Nursing Process sections relate nursing care to drug therapy. Each step of the nursing process includes concise actions for the plan of care in relation to treatment for selected drug prototypes.A chapter on Principles of Drug Administration features comprehensive coverage of the procedures for administering drugs. It addresses all routes of administration and various settings.Unit openers for drug therapy chapters include an illustrated overview of normal anatomy and physiology, giving readers the foundation for understanding how the drug works in that body system.Herbal Alert boxes highlight various herbal products and their interactions with drugs.More than 100 detailed Prototype Drug Charts list the following information: dosage, indication, contraindication, drug-lab-food interactions, pharmacokinetics, pharmacodynamics, therapeutic effects, side effects, and adverse reactions.Highlighted Client Teaching, Cultural Considerations, and Herbal Alerts are included in the Nursing Process sections to emphasize key implications for nurses.Client Teaching in the nursing process sections guide readers through instructions for teaching patients about medication, self-administration, dietary concerns, and side effects.Includes a separate Transcultural and Genetic Considerations chapter.Critical Thinking Case Studies and Study Questions at the end of each chapter present readers with a clinical scenario and several questions that reinforce key concepts and encourage critical thinking.A new chapter on substance abuse addresses this important aspect of the nurse's role in pharmacology. Preventing Medication Errors boxes draw attention to important safety considerations and present guidelines from the Institute for Safe Medication Practice (ISMP).Critical Thinking Case Study boxes provide clinical scenarios and questions to sharpen analytical and critical thinking skills.Now includes step-by-step instructions for dosage calculations using dimensional analysis.Web sites, organizations, and research database information are available at the end of clinical chapters for further review and research.The newest JCAHO guidelines for medication safety are applied throughout the text and the abbreviations appendix has been revised to reflect these updates.Includes a new Herb/Drug Interaction chart, as well as new sugar-free and alcohol-free drug lists.Features updated coverage of pain as the fifth vital sign.Look-alike/sound-alike drugs are highlighted throughout to promote safe drug administration.Includes a list of the 200 most frequently prescribed drugs.Electronic Resources boxes at the beginning of each chapter direct readers to additional learning activities available on the Companion CD and the Evolve website.