Evidence-Based Practice in Nursing & Healthcare: A Guide to Best Practice


Bernadette Mazurek Melnyk - 2004
     Develop the skills and knowledge you need to make evidence-based practice (EBP) an integral part of your clinical decision-making and everyday nursing practice with this proven, approachable text. Written in a straightforward, conversational style, Evidence-Based Practice in Nursing & Healthcare delivers real-world examples and meaningful strategies in every chapter to help you confidently meet today’s clinical challenges and ensure positive patient outcomes.NEW! Making Connections: An EBP Exemplar opens each unit, immersing you in an unfolding case study of EBP in real-life practice.NEW! Chapters reflect the most current implications of EBP on health policy and the context, content, and outcomes of implementing EBP competencies in clinical and academic settings.NEW! Learning objectives and EBP Terms to Learn at both the unit and chapter levels help you study efficiently and stay focused on essential concepts and vocabulary.Making EBP Real features continue to end each unit with real-world examples that demonstrate the principles of EBP applied.EBP Fast Facts reinforce key points at a glance.Clinical Scenarios clarify the EBP process and enhance your rapid appraisal capabilities.

Myers' Psychology for AP*


David G. Myers - 2010
    Myers introduce this new text here.Watch instructor video reviews here.David G. Myers is best known for his top-selling college psychology texts, used successfully across North America in thousands of AP* courses. As effective as Myers’ college texts have been for the AP* course, we believe his new text will be even better, because Myers’ Psychology for AP* has been written especially for the AP* course!

Chemistry and Chemical Reactivity (with General ChemistryNOW CD-ROM)


John C. Kotz - 1987
    This revision includes General ChemistryNow, a new CD-ROM and web-based learning system that focuses on goals, connections, and complete integration with the text.

Emergency Care


Daniel J. Limmer - 1997
    Emergency Care, 10/E has prepared more students to pass state and/or the National Registry Exam than any other text on the market with well-organized, clearly presented content, thorough coverage of patient assessment, an accessible reading level, high quality artwork, and outstanding skill scans of equipment and procedures. Case studies and practical tips from the field tie chapter concepts to real world applications. Each chapter sends students to the Companion Website where there are links to EMS-related sites. A new in-text CD provides extra information to help students master concepts.

Introduction to Forensic Psychology: Research and Application


Curt R. Bartol - 2004
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An Introduction to Theories of Learning


Matthew H. Olson - 1982
    Accessible for undergraduates yet thorough enough for graduate students, this comprehensive text defines learning and shows how the learning process is studied. The text places learning in its historical perspective, giving students an appreciation for the figures and theories that have shaped 100 years of learning theory research.

Stephen Hawking: Extraordinary Life Lessons That Will Change Your Life Forever


Jamie Cooper - 2015
    Whatever your circumstances, you can create the life you desire by following simple, counterintuitive steps; not the steps society wants you to follow. Unfortunately, you cannot even trust yourself when it comes to creating the life that you desire, because you’re programmed by your past, an accumulation of hundreds of thousands of years, a mind still adapted for a hunter-gatherer time period. What does this mean? It means every day you’re battling your emotions, logic versus emotion. Logically, you want to do one thing, but emotionally, you are drawn to something else. First, if this sounds familiar, then great, because it means you are human. But, if you’re going to win the game of life, you cannot sit around and wait for things to happen, because you’ll be living a life of supreme comfort and sameness; ultimately, a great sin. You are destined for great things, capable of forging dreams and living your aspirations. Maybe you’ve forgotten about this truth: that you are capable, worthy, and ready. Maybe you’ve been beaten into the ground by life, a teacher who doesn’t care if you’re rich or poor, weak or strong, ready or not, because life will continue forward regardless, waiting for no one. Fortunately, there’re things you can do to set yourself apart from the millions that will ultimately suffer and fail. One such thing, perhaps the most powerful of all, is by studying the great, people who have succeeded and who have gone beyond what is humanly thought possible. When it comes to studying someone great, there’s one name that stands tall, Stephen Hawking, a person who has persevered and flourished. Not only has he conquered great adversity, but he has inspired millions around the world with his brilliant mind. There is a reason why people compare him with the once living Albert Einstein, the genius. What follows are Stephen Hawking’s greatest life lessons, gems of wisdom that you can easily apply to your own life, which will help you live a more abundant, stronger life. If you’re in need of inspiration, a boost of confidence, or just a friendly reminder of the wonders in life, you’ve come to the right place. See for yourself why millions study his work and regard him as a genius. Scroll up and grab your copy today.*** Limited time offer ***

Doing Action Research In Your Own Organization


David Coghlan - 2000
    In this brand new edition of the popular work, David Coghlan and Teresa Brannick provide an easy-to-follow, hands-on guide to every aspect of conducting an action research project in your own organization.Revised and updated, this Third Edition contains: An expanded discussion on politics and ethics of insider action researchAn expanded chapter on writing an action research dissertation and an action research report More case examples and reflective exercises taken from a wide variety of organizational settings

Designing Clinical Research


Stephen B. Hulley - 1988
    This edition incorporates current research methodology—including molecular and genetic clinical research—and offers an updated syllabus for conducting a clinical research workshop.Emphasis is on common sense as the main ingredient of good science. The book explains how to choose well-focused research questions and details the steps through all the elements of study design, data collection, quality assurance, and basic grant-writing. All chapters have been thoroughly revised, updated, and made more user-friendly.

Inorganic Chemistry


D.F. Shriver - 1990
    The bestselling textbook inorganic chemistry text on the market covers both theoretical and descriptive aspects of the subject, and emphasizes experimental methods, industrial applications, and modern topics.

Abnormal Psychology


Thomas F. Oltmanns - 1994
    It also includes a major study on suicide and case studies.

Introductory Statistics


Prem S. Mann - 2006
    The realistic content of its examples and exercises, the clarity and brevity of its presentation, and the soundness of its pedagogical approach have received the highest remarks from both students and instructors. Now this bestseller is available in a new 6th edition.

Machine Learning: Fundamental Algorithms for Supervised and Unsupervised Learning With Real-World Applications


Joshua Chapmann - 2017
    Right?! Machine Learning is a branch of computer science that wants to stop programming computers using a detailed list of commands to follow blindly. Instead, their aim is to implement high-level routines that teach computers how to approach new and unknown problems – these are called algorithms. In practice, they want to give computers the ability to Learn and to Adapt. We can use these algorithms to obtain insights, recognize patterns and make predictions from data, images, sounds or videos we have never seen before – or even knew existed. Unfortunately, the true power and applications of today’s Machine Learning Algorithms remain deeply misunderstood by most people. Through this book I want fix this confusion, I want to shed light on the most relevant Machine Learning Algorithms used in the industry. I will show you exactly how each algorithm works, why it works and when you should use it. Supervised Learning Algorithms K-Nearest Neighbour Naïve Bayes Regressions Unsupervised Learning Algorithms: Support Vector Machines Neural Networks Decision Trees