The wonderful inventions we now cannot live without—fromhigh-heels to tea-bags, pencils to x-rays, each story is an amazing mix of luck and a whole lot ofperseverance and hard work.Imagine what our hot summers would be without ice-lolly? The horrors of never tasting potatochips!What would we do without our quick-fix Superglue? We hardly give a thought to the manylittle things we use every day. Don’t you think it’s time we learnt about a few stories of origin?Where do they come from? Who invented them and how?Learn about 51 fascinating stories of inventions in a book blending adorable, simple illustrationswith lively text bursting with facts. Who knows, you might accidentally come up with an inventionone day too

    Pure Substances, The First And Second Laws, Gases, Psychrometrics, The Vapor, Gas And Refrigeration Cycles, Heat Transfer, Compressible Flow, Chemical Reactions, Fuels, And More Are Presented In Detail And Enhanced With Practical Applications. This Version Presents The Material Using SI Units And Has Ample Material On SI Conversion, Steam Tables, And A Mollier Diagram. A CD-ROM, Included With The Print Version Of The Text, Includes A Fully Functional Version Of Quickfield (Widely Used In Industry), As Well As Numerous Demonstrations And Simulations With MATLAB, And Other Third Party Software.

    Experience the incredible exploits of this young elk as he grows to become a great leader of his kind. His life is one of challenge and near tragedy as he struggles to survive the often violent life that is nature. Under the guidance of great bulls and mysterious spirit guides, this brave young bull grows to understand the never-ending circle of life and the oneness that he and all living things share. Enter the brutally honest world that is nature, and walk the journey of this courageous young bull as by his grandeur he brings all four-legged ones to a great oneness with their most feared enemy, man. You will laugh and cry as this young elk grows to become that which you an I hope someday to be.

    Gerd Heuschmann is well-known in dressage circles—admired for his plain speaking regarding what he deems the incorrect and damaging training methods commonly employed by riders and trainers involved in competition today. Here, he presents an intelligent and thought-provoking exploration of both classical and "modern" training methods, including "hyperflexion" (also known as Rollkur), against a practical backdrop of the horse's basic anatomy and physiology. In a detailed yet comprehensible fashion, Dr. Heuschmann describes parts of the horse's body that need to be correctly developed by the dressage rider. He then examines how they function both individually and within an anatomical system, and how various schooling techniques affect these parts for the good, or for the bad. Using vivid color illustrations of the horse's skeletal system, ligaments, and musculature, in addition to comparative photos depicting "correct" versus "incorrect" movement—and most importantly, photos of damaging schooling methods—Dr. Heuschmann convincingly argues that the horse's body tells us whether our riding is truly gymnasticizing and "building the horse up," or simply wearing it down and tearing it apart. He then outlines his ideal "physiological education" of the horse. Training should mirror the mental and physical development of the horse, fulfilling "classical" requirements—such as regularity of the three basic gaits, suppleness, and acceptance of the bit—rather than disregarding time-tested values for quick fixes that could lead to the degradation of the horse's well-being. Dr. Heuschmann's assertion that the true objectives of dressage schooling must never be eclipsed by simple "mechanical perfection" is certain to inspire riders at all levels to examine their riding, their riding goals, and the techniques they employ while pursuing them.

    But when fellow competitor Frederick Twemlow snatches away their top horse, everything they have ever worked for is on the brink of falling apart before their eyes. Frederick Twemlow is gorgeous, rich, popular and at the top of the eventing ranks. When he sets his sights on something, he doesn't stop until he gets it. So when he begins to make eyes at Elsa, they both know it's only a matter of time before Frederick gets what he wants. Desperate to despise him for tipping their yard into turmoil, and to prove her loyalty to Sophia; for how long can Elsa resist his charms?

    Equine Fitness will have your horse looking and feeling his best with a series of fun exercise routines specifically designed to enhance his strength, stamina, and agility. Clear step-by-step instructions and detailed illustrations make the exercises easy to follow, and the book includes a handy set of pocket-sized cards that you can use in the ring. Jec Ballou’s simple conditioning program promises lasting results for healthy horses and satisfied riders.

    It explains: what goes on at the track what to look for in horses and jockeys how to read a racing form and do simple handicapping how to manage betting funds and make wagers that stand a good chance of paying off. Complete with coverage of off-track and online betting, it's just what anyone needs to play the ponies-and win! Richard Eng (Las Vegas, NV) is a racing writer and handicapper for the Las Vegas Review-Journal, a columnist for the Daily Racing Form, and the host of a horseracing radio program in Las Vegas. He was formerly a part of the ABC Sports team that covered the Triple Crown.

    Contemplation of time and the discoveries of modern science lead to the assertion that the mind is paramount and limitless.

    Newly revised, this edition of the handbook includes more than 50 new monographs with a list of synonyms at the end of each monograph, a revised insulin monograph, an expanded ophthalmology section and new headings for reproductive/nursing safety.

    this is one of those rare books that will change your beliefs - and in doing so will change your life. tHE ANt AND tHE FERRARI offers readers a clear, navigable path through the big questions that confront us all today. What is the meaning of life? Can we be ethical beings in today's world? Can we know if there is life after death? Is there such a thing as Absolute truth? What caused the Big Bang and why should you care?

    Cambridge International AS and A Level Physics covers all the material required for the Cambridge syllabus. The accompanying Student's CD-ROM includes many more questions linked to each chapter, including multiple choice, how to tackle the examinations, and animations, a glossary and summaries. A Teacher's Resource CD-ROM is also available and includes answers to all questions in the Coursebook, together with worksheets describing practical work linked to each chapter in the book.

    It's a great way to learn about nuclear physics!

    

    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 ***

    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