They end up sitting on a shelf, unread and unrealized.Breakthrough Marketing Plans is an essential tool for people who create marketing plans and people who review them. The book provides simple, clear frameworks that are easy to apply, and highlights why marketing plans matter, where they go wrong and how to create a powerful plan that will help build a strong, profitable business.

    The book's holistic perspective shows students how nursing care involves more than performing procedures. With a case-based approach to learning, the book offers numerous examples and opportunities for students to think critically. The Seventh Edition includes new features highlighting clinical questions and research, nursing advocacy, and health literacy, and also includes new information related to electronic medical records and documentation. With this textbook you'll find an integrated, cohesive, and student-focused suite of multimedia products to appeal to all types of learners, including a bound-in DVD-ROM and a companion website.

    The tenth edition includes an extensive update with new examples and timely HR topics added. Most opening vignettes and "Did You Know?" boxes are new to provide the most relevant information. The "Workplace Issues, Technology Corner," and "Ethical Issues" in HRM boxes have also been updated to reflect current ideas and issues in HR. HR professionals will find more detailed discussions on topics including HR as a career, outsourcing of HR, discipline and dismissal, employment branding, and more.

    Written for a senior-level course, this engineering textbook presents the concepts of feedback control system theory as they have been developed in the frequency and time domains, discussing such topics as robust control systems, state variable models, computer control systems, internal model contro

    Each chapter in this revised Eighth Edition includes two case studies—one clinical and one pharmaceutical. Content coincides with the CAPE, APhA, and NAPLEX competencies.This edition includes updated drug information and expanded sections on parenterals, excipients, liposomes, and biopharmaceutics. Coverage incorporates all new dosage forms in the current USP Pharmacopoeia-National Formulary. Capsules and tablets are now covered in separate chapters. The thoroughly revamped illustration program includes new product and manufacturing equipment photographs.

    Gaddis motivates the study of both programming skills and the C++ programming language by presenting all the details needed to understand the "how" and the "why"-but never losing sight of the fact that most beginners struggle with this material. His approach is both gradual and highly accessible, ensuring that students understand the logic behind developing high-quality programs. In Starting Out with C++: From Control Structures through Objects, Gaddis covers control structures, functions, arrays, and pointers before objects and classes. As with all Gaddis texts, clear and easy-to-read code listings, concise and practical real-world examples, and an abundance of exercises appear in every chapter. This text is intended for either a one-semester accelerated introductory course or a traditional two-semester sequence covering C++ programming. This edition is available with MyProgrammingLab, an innovative online homework and assessment tool. Through the power of practice and immediate personalized feedback, MyProgrammingLab helps students fully grasp the logic, semantics, and syntax of programming. � Note: If you are purchasing the standalone text or electronic version, MyProgrammingLab does not come automatically packaged with the text. To purchase MyProgrammingLab, please visit: myprogramminglab.com or you can purchase a package of the physical text + MyProgrammingLab by searching for ISBN 10: 0132774178 / ISBN 13: 9780132774178.� MyProgrammingLab is not a self-paced technology and should only be purchased when required by an instructor.

    'Social Work Macro Practice' focuses on work with organizations and communities, including planned change approaches and implementation.

    In this reference, case studies and clinical situations analyze and explore the clinical significance of non-blood body fluids and are designed to aid students in developing the skills of problem solving and critical thinking that are essential in a clinical laboratory.

    Clear, concise, and superbly organized, it integrates text, visuals, and computer simulations to help readers solve even the most challenging problems through reasoning, rather than by memorizing equations.

    This course is usually the first course taught at the undergraduate level. Marketers understand that even the best products and services will go unsold if they cannot communicate the value to the customer. Understanding this value-based approach is critical for marketing students today, and is at the forefront of this text, setting it apart. This approach is emphasized throughout the text, and demonstrated through the use of the Adding Value boxes found in each chapter. Presents a concise, impactful, and easy to read approach to Principles of Marketing. The text delivers value to both instructor and student through the engaging style and online assignment and assessment options. With monthly updates provided in a newsletter and the dynamic video program, the instructor support provided will bring marketing to life in any class setting.

    Building on the successful top-down approach of previous editions, this fourth edition continues with an early emphasis on application-layer paradigms and application programming interfaces, encouraging a hands-on experience with protocols and networking concepts.

    This book presents some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree- based methods, support vector machines, clustering, and more. Color graphics and real-world examples are used to illustrate the methods presented. Since the goal of this textbook is to facilitate the use of these statistical learning techniques by practitioners in science, industry, and other fields, each chapter contains a tutorial on implementing the analyses and methods presented in R, an extremely popular open source statistical software platform. Two of the authors co-wrote The Elements of Statistical Learning (Hastie, Tibshirani and Friedman, 2nd edition 2009), a popular reference book for statistics and machine learning researchers. An Introduction to Statistical Learning covers many of the same topics, but at a level accessible to a much broader audience. This book is targeted at statisticians and non-statisticians alike who wish to use cutting-edge statistical learning techniques to analyze their data. The text assumes only a previous course in linear regression and no knowledge of matrix algebra.

    The authors present all basic management concepts and principles in "bite-size" chunks, 2- to 6-page sections, to optimize student learning and also emphasize the practicality of the subject matter. In addition, instructor and students are given a wealth of classroom-tested resources.

    It is the definitive reference guide, now in a second edition. Although the first edition was written in 1978, it continues to be a worldwide best-seller. This second edition brings the classic original up to date to include the ANSI standard. From the Preface: We have tried to retain the brevity of the first edition. C is not a big language, and it is not well served by a big book. We have improved the exposition of critical features, such as pointers, that are central to C programming. We have refined the original examples, and have added new examples in several chapters. For instance, the treatment of complicated declarations is augmented by programs that convert declarations into words and vice versa. As before, all examples have been tested directly from the text, which is in machine-readable form. As we said in the first preface to the first edition, C "wears well as one's experience with it grows." With a decade more experience, we still feel that way. We hope that this book will help you to learn C and use it well.

    Several resources exist for individual pieces of this data science stack, but only with the Python Data Science Handbook do you get them all—IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and other related tools.Working scientists and data crunchers familiar with reading and writing Python code will find this comprehensive desk reference ideal for tackling day-to-day issues: manipulating, transforming, and cleaning data; visualizing different types of data; and using data to build statistical or machine learning models. Quite simply, this is the must-have reference for scientific computing in Python.With this handbook, you’ll learn how to use: * IPython and Jupyter: provide computational environments for data scientists using Python * NumPy: includes the ndarray for efficient storage and manipulation of dense data arrays in Python * Pandas: features the DataFrame for efficient storage and manipulation of labeled/columnar data in Python * Matplotlib: includes capabilities for a flexible range of data visualizations in Python * Scikit-Learn: for efficient and clean Python implementations of the most important and established machine learning algorithms