This is official Amazon Web Services (AWS) documentation for Amazon Compute Cloud (Amazon EC2).This guide explains the infrastructure provided by the Amazon EC2 web service, and steps you through how to configure and manage your virtual servers using the AWS Management Console (an easy-to-use graphical interface), the Amazon EC2 API, or web tools and utilities.Amazon EC2 provides resizable computing capacity—literally, server instances in Amazon's data centers—that you use to build and host your software systems.

    The fascinating story of how a harsh terrain that resembled modern Antarctica has been transformed gradually into the forests, grasslands, and wetlands we know today.

    When we see someone in distress, we share that distress. When we see a great actor, musician or sportsperson perform at the peak of their abilities, it can feel like we are experiencing just something of what they are experiencing. Yet only recently, with the discover of mirror neurons, has it become clear just how this powerful sharing of experience is realised within the human brain. This book provides, for the first time, a systematic overview of mirror neurons, written by the man who first discovered them.In the early 1990's Giacomo Rizzolatti and his co-workers at the University of Parma discovered that some neurons had a surprising property. They responded not only when a subject performed a given action, but also when the subject observed someone else performing that same action. These results had a deep impact on cognitive neuroscience, leading the neuroscientist vs Ramachandran to predict that 'mirror neurons would do for psychology what DNA did for biology'. The unexpected properties of these neurons have not only attracted the attention of neuroscientists. Many sociologists, anthropologists, and even artists have been fascinated by mirror neurons. The director and playwright Peter Brook stated that mirror neurons throw new light on the mysterious link that is created each time actors take the stage and face their audience - the sight of a great actor performing activates in the brain of the observer the very same areas that are active in the performer - including both their actions and their emotions.Written in a highly accessible style, that conveys something of the excitement of this groundbreaking theory, Mirrors in the Brain is the definitive account of one the major scientific discoveries of the past 50 years.

    But what is the mind? What do we mean when we say we are "aware" of something? What is this peculiar state in our heads, at once utterly familiar and bewilderingly mysterious, that we call awareness or consciousness? In Physics in Mind, eminent biophysicist Werner R. Loewenstein argues that to answer these questions, we must first understand the physical mechanisms that underlie the workings of the mind. And so begins an exhilarating journey along the sensory data stream of the brain, which shows how our most complex organ processes the vast amounts of information coming in through our senses to create a coherent, meaningful picture of the world. Bringing information theory to bear on recent advances in the neurosciences, Loewenstein reveals a web of immense computational power inside the brain. He introduces the revolutionary idea that quantum mechanics could be fundamental to how our minds almost instantaneously deal with staggering amounts of information, as in the case of the information streaming through our eyes. Combining cutting-edge research in neuroscience and physics, Loewenstein presents an ambitious hypothesis about the parallel processing of sensory information that is the heart, hub, and pivot of the cognitive brain. Wide-ranging and brimming with insight, Physics in Mind breaks new ground in our understanding of how the mind works.

    The coloring book helps you memorize the anatomy content you need to know in both veterinary medicine and veterinary technology and gives you a fun way to review the information you have studied. All illustrations in the book are suitable for coloring and are of the highest quality, created by expert medical illustrators.Organized by body region, the book is divided into sections devoted to the head and neck; neck, back, and vertebral column; thorax; abdomen; pelvis; forlimb; and hindlimb.Numbered lead lines clearly identify structures to be colored and correspond to a numbered list beneath the illustration so you can easily visualize the veterinary anatomy. Plus, you can create your own color code using the numbered boxes provided for each illustration.Comprehensive veterinary anatomy coverage helps you reinforce your understanding of canine, feline, equine, porcine, ruminants, and avian anatomy.High quality illustrations make it easy for you to color in each anatomic region and review anatomic details.Self-study format provides a fun and interactive way to prepare for exams throughout your veterinary courses.Part of Elsevier's complete veterinary anatomy learning system, integrating core anatomy knowledge, engaging review, hands-on practice, and clinical application to give you a solid foundation for success!

    Intuitive Biostatistics covers all the topics typically found in an introductory statistics text, but with the emphasis on confidence intervals rather than P values, making it easier for students to understand both. Additionally, it introduces a broad range of topics left out of most other introductory texts but used frequently in biomedical publications, including survival curves. multiple comparisons, sensitivity and specificity of lab tests, Bayesian thinking, lod scores, and logistic, proportional hazards and nonlinear regression. By emphasizing interpretation rather than calculation, this text provides a clear and virtually painless introduction to statistical principles for those students who will need to use statistics constantly in their work. In addition, its practical approach enables readers to understand the statistical results published in biological and medical journals.

    Most FAA Knowledge Exams’ questions are taken directly from the information presented in these texts.Written for applicants preparing for the private, commercial, or flight instructor certificate with a helicopter or gyroplane class rating, this guide covers both aeronautical knowledge and skill for operating rotorcraft vehicles. It is also a valuable tool for flight instructors as a teaching aid. This is the Basic Helicopter Handbook (Advisory Circular 61-13B) updated and renamed. This is FAA handbook FAA-H-8083-21.

    This brief, accessible introduction describes some of the most interesting research in the field and also enables readers to implement and experiment with genetic algorithms on their own. It focuses in depth on a small set of important and interesting topics--particularly in machine learning, scientific modeling, and artificial life--and reviews a broad span of research, including the work of Mitchell and her colleagues.The descriptions of applications and modeling projects stretch beyond the strict boundaries of computer science to include dynamical systems theory, game theory, molecular biology, ecology, evolutionary biology, and population genetics, underscoring the exciting general purpose nature of genetic algorithms as search methods that can be employed across disciplines.An Introduction to Genetic Algorithms is accessible to students and researchers in any scientific discipline. It includes many thought and computer exercises that build on and reinforce the reader's understanding of the text. The first chapter introduces genetic algorithms and their terminology and describes two provocative applications in detail. The second and third chapters look at the use of genetic algorithms in machine learning (computer programs, data analysis and prediction, neural networks) and in scientific models (interactions among learning, evolution, and culture; sexual selection; ecosystems; evolutionary activity). Several approaches to the theory of genetic algorithms are discussed in depth in the fourth chapter. The fifth chapter takes up implementation, and the last chapter poses some currently unanswered questions and surveys prospects for the future of evolutionary computation.

     A powerful true story revealing a remarkable relationship between a dying son - and a mother that refuses to let him go. At the age of 10, Deryn was diagnosed with Leukaemia. Then 18 months later he developed another rare form of cancer called Langerhan’s cell sarcoma. Only five other people in the world have it. He is the youngest of them all and the only person in the world known to be fighting it alongside another cancer, making him one in seven billion. Told there was no hope of survival, after four years of intensive treatment, exhausted by his fight and with just days left to live, Deryn planned his own funeral. But, Deryn’s desperate mother, Callie would not let him give in. Battling medical errors, impossible odds and years of hardship as the cancer consumed his body and their world, they looked for more answers. After making some startling discoveries and taking massive chances - something began to change… Would their lives as a family ever be the same again?

    In 1935, aged 22, he developed the mathematical theory upon which all subsequent stored-program digital computers are modeled.At the outbreak of hostilities with Germany in September 1939, he joined the Government Codebreaking team at Bletchley Park, Buckinghamshire and played a crucial role in deciphering Engima, the code used by the German armed forces to protect their radio communications. Turing's work on the versionof Enigma used by the German navy was vital to the battle for supremacy in the North Atlantic. He also contributed to the attack on the cyphers known as Fish, which were used by the German High Command for the encryption of signals during the latter part of the war. His contribution helped toshorten the war in Europe by an estimated two years.After the war, his theoretical work led to the development of Britain's first computers at the National Physical Laboratory and the Royal Society Computing Machine Laboratory at Manchester University.Turing was also a founding father of modern cognitive science, theorizing that the cortex at birth is an unorganized machine which through training becomes organized into a universal machine or something like it. He went on to develop the use of computers to model biological growth, launchingthe discipline now referred to as Artificial Life.The papers in this book are the key works for understanding Turing's phenomenal contribution across all these fields. The collection includes Turing's declassified wartime Treatise on the Enigma; letters from Turing to Churchill and to codebreakers; lectures, papers, and broadcasts which opened upthe concept of AI and its implications; and the paper which formed the genesis of the investigation of Artifical Life.

    Each chapter of An Introduction to Brain and Behavior explores a specific question asked by working neuroscientists and students (i.e. "Why do we have a brain?"  "How is the nervous system organized?").  This approach brings coherence to a vast subject, and helps students understand what information is important as their study of brain and behavior progresses chapter to chapter.

    The text is written in straightforward language and is complemented by extensive clear, full-colour illustrations. Each chapter provides an explanation of the normal structure and functions of the human body and what occurs when disease or illness disrupts the normal processes.Carefully refined, clear and unambiguous textExcellent layout ensures the text and relevant illustrations are close togetherHighly illustrated with clear line diagrams, mostly in colourText uses regular sequences of headings, lists, and bullet points to help with learning and revisionOmits the unnecessary detail which can confuse the student new to the subjectA glossary of common prefixes, suffixes and roots commonly used in anatomy and physiologyAn Appendix containing useful biological values for easy referenceLearning outcomes related to the sections within each chapterAccompanying Colouring and workbook that facilitates structured learning and revision of the material in this bookAccess to an Evolve companion website offering animations, MCQs, a full image bank, an audio pronunciation guide as well as useful web links.- text revised and updated, including one chapter integrating the musculoskeletal system and a new chapter on genetics to reflect the increasing importance of this topic - new and revised artwork/illustrations - enhanced features on the Evolve website for students: -High quality animations -Multiple-choice questions -Web links to supplementary websites -An audio pronunciation guideand for Lecturers: -Image bank: the complete collection of images from the book.

    It discusses cloud concepts and highlights various design patterns and best practices. This documentation is offered for free here as a Kindle book, or you can read it in PDF format at https://aws.amazon.com/whitepapers/.

    Readers will learn how to define the overall testing goals and strategies for the systems being tested.This hands-on, exercise-rich book provides experience with planning, scheduling, and tracking these tasks. You'll be able to describe and organize the necessary activities as well as learn to select, acquire, and assign adequate resources for testing tasks. Learn how to form, organize, and lead testing teams Master the organizing of communication among the members of the testing teams, and between the testing teams and all the other stakeholders. Additionally, you'll learn how to justify decisions and provide adequate reporting information where applicable.Target Audience: Software Testers, Programmers, System Designers, IT Managers

    This text introduces the basic mathematical and computational methods of theoretical neuroscience and presents applications in a variety of areas including vision, sensory-motor integration, development, learning, and memory.The book is divided into three parts. Part I discusses the relationship between sensory stimuli and neural responses, focusing on the representation of information by the spiking activity of neurons. Part II discusses the modeling of neurons and neural circuits on the basis of cellular and synaptic biophysics. Part III analyzes the role of plasticity in development and learning. An appendix covers the mathematical methods used, and exercises are available on the book's Web site.