Junte-se a nós em uma viagem ao mundo dos livros!
Adicionar este livro à prateleira
Grey
Deixe um novo comentário Default profile 50px
Grey
Assine para ler o livro completo ou leia as primeiras páginas de graça!
All characters reduced
Pole Vault Physics - cover
LER

Pole Vault Physics

Miles Drake

Tradutor A AI

Editora: Publifye

  • 0
  • 0
  • 0

Sinopse

Pole Vault Physics explores the science behind this incredible sport, revealing how athletes convert kinetic energy into potential energy to soar to amazing heights. The book examines the energy transfer process, showing how vaulters transform their run-up speed into the elastic potential energy of the pole, and then back into the kinetic and gravitational potential energy needed to clear the bar. It also analyzes the biomechanics of the athlete's technique, from the initial run-up to the final release, illustrating how each movement contributes to overall performance. This book uniquely blends physics with practical coaching insights, bridging the gap between scientific principles and real-world athletic application. For instance, the evolution of vaulting poles from rigid materials to flexible fiberglass and carbon fiber highlights how material science has revolutionized the sport. The book progresses logically, starting with fundamental concepts of energy and mechanics, then moving into detailed analyses of each phase of the vault, and concluding with advanced training techniques informed by physics. By dissecting each phase of the vault through the lens of energy transfer and biomechanical efficiency, Pole Vault Physics provides coaches, athletes, and enthusiasts with actionable insights. The book provides a comprehensive perspective by integrating rigorous physics analysis with practical coaching insights.
Disponível desde: 10/03/2025.
Comprimento de impressão: 71 páginas.

Outros livros que poderiam interessá-lo

  • My Child the Algorithm - An Alternatively Intelligent Book of Love - cover

    My Child the Algorithm - An...

    Hannah Silva

    • 0
    • 0
    • 0
    A playful and provocative exploration of queer single parenting and love, in conversation with an AI algorithm and a toddler 
     
     
     
    My Child, the Algorithm describes encounters between a single parent, a curious, verbal toddler, and a language-producing algorithm. Like a male seahorse, Hannah Silva carried a baby made from her partner's egg. But when she gave birth, her partner left, and Hannah found herself navigating life alone with her child, surviving on United Kingdom universal credit, humor, and buckets of imagination. 
     
     
     
    As she navigates friendship, dating, and life as a queer parent in London, Hannah begins cowriting with an open-source language model, a precursor to ChatGPT, feeding the algorithm language and receiving language in return. Through her interactions with her toddler and the algorithm, expressions of humor, play, and insight begin to emerge. With the help and disruption of these unreliable narrators, Hannah deconstructs her story and constructs a new one, unraveling what she has been taught to want, finding alternative ways of thinking, loving, and parenting today.
    Ver livro
  • Ultimate Machine Learning with Scikit-Learn - Unleash the Power of Scikit-Learn and Python to Build Cutting-Edge Predictive Modeling Applications and Unlock Deeper Insights Into Machine Learning - cover

    Ultimate Machine Learning with...

    Parag Saxena

    • 0
    • 0
    • 0
    Master the Art of Data Munging and Predictive Modeling for Machine Learning with Scikit-Learn
    Book Description
    “Ultimate Machine Learning with Scikit-Learn” is a definitive resource that offers an in-depth exploration of data preparation, modeling techniques, and the theoretical foundations behind powerful machine learning algorithms using Python and Scikit-Learn.
    Beginning with foundational techniques, you'll dive into essential skills for effective data preprocessing, setting the stage for robust analysis. Next, logistic regression and decision trees equip you with the tools to delve deeper into predictive modeling, ensuring a solid understanding of fundamental methodologies. You will master time series data analysis, followed by effective strategies for handling unstructured data using techniques like Naive Bayes.
    Transitioning into real-time data streams, you'll discover dynamic approaches with K-nearest neighbors for high-dimensional data analysis with Support Vector Machines(SVMs). Alongside, you will learn to safeguard your analyses against anomalies with isolation forests and harness the predictive power of ensemble methods, in the domain of stock market data analysis.
    By the end of the book you will master the art of data engineering and ML pipelines, ensuring you're equipped to tackle even the most complex analytics tasks with confidence.
    Table of Contents
    1. Data Preprocessing with Linear Regression
    2. Structured Data and Logistic Regression
    3. Time-Series Data and Decision Trees
    4. Unstructured Data Handling and Naive Bayes
    5. Real-time Data Streams and K-Nearest Neighbors
    6. Sparse Distributed Data and Support Vector Machines
    7. Anomaly Detection and Isolation Forests
    8. Stock Market Data and Ensemble Methods
    9. Data Engineering and ML Pipelines for Advanced Analytics
    Index
    Ver livro
  • The Future of AI & Robotics – The Next Invention Boom - How Artificial Intelligence and Robots Are Transforming the World - cover

    The Future of AI & Robotics –...

    Cody Moore

    • 0
    • 0
    • 0
    The rise of Artificial Intelligence and Robotics is no longer science fiction—it’s happening now. But what’s next? How will AI evolve, and what role will robots play in our future? Will they be our assistants, co-workers, or even our competitors? 
    This audiobook explores the cutting-edge advancements in AI and robotics, shedding light on the potential breakthroughs, challenges, and ethical dilemmas that come with this technological revolution. Discover: 
    ✅ How AI is revolutionizing industries, from medicine to finance 
    ✅ The rise of autonomous robots, self-driving cars, and humanoid machines 
    ✅ The ethical debate: Will AI replace human jobs or enhance productivity? 
    ✅ What the future holds for Artificial General Intelligence (AGI) and superintelligent AI 
    The Future of AI & Robotics – The Next Invention Boom is a must-listen for tech enthusiasts, futurists, entrepreneurs, and anyone fascinated by the next wave of innovation
    Ver livro
  • High-performance Computing - Understanding High-Performance Computing and Supercomputing The Advancements Applications and Future of Computing Power - cover

    High-performance Computing -...

    Connor Williams

    • 0
    • 0
    • 0
    High-performance computing (HPC) is a critical field in modern computing, enabling the processing of large amounts of data and complex computations that were once impossible. In "Understanding High-Performance Computing and Supercomputing: The Advancements, Applications, and Future of Computing Power," readers will gain a comprehensive understanding of the principles, technologies, and applications of HPC and supercomputing. 
    This book explores the history of HPC and its evolution into modern supercomputing, providing a deep understanding of the underlying technology, architecture, and software. It covers key topics such as parallel computing, distributed systems, GPU computing, and quantum computing. 
    The book also examines the many applications of HPC, including weather forecasting, scientific simulations, drug discovery, and financial modeling. It delves into the use of HPC in various industries, such as aerospace, healthcare, and entertainment, and explores how HPC is shaping the future of technology. 
    Readers will gain insight into the current state of the industry, with a discussion of the latest advancements and trends in HPC. They will also learn about the future of HPC, including emerging technologies and challenges to be overcome. 
    "Understanding High-Performance Computing and Supercomputing" is an essential resource for students, researchers, and professionals in computer science, engineering, mathematics, and other fields. It offers a comprehensive and in-depth understanding of HPC, providing readers with the knowledge they need to contribute to this critical field. 
     
    Ver livro
  • No Country for Eight-Spot Butterflies - A Lyric Essay - cover

    No Country for Eight-Spot...

    Julian Aguon

    • 0
    • 0
    • 0
    Part memoir, part manifesto, Chamorro climate activist Julian Aguon's No Country for Eight-Spot Butterflies is a coming-of-age story and a call for justice—for everyone, but in particular, for Indigenous peoples. 
     
     
     
    In bracing poetry and compelling prose, Aguon weaves together stories from his childhood in the villages of Guam with searing political commentary about matters ranging from nuclear weapons to global warming. Undertaking the work of bearing witness, wrestling with the most pressing questions of the modern day, and reckoning with the challenge of truth-telling in an era of rampant obfuscation, he culls from his own life experiences—from losing his father to pancreatic cancer to working for Mother Teresa to an edifying chance encounter with Sherman Alexie—to illuminate a collective path out of the darkness. 
     
     
     
    A powerful, bold, new voice writing at the intersection of Indigenous rights and environmental justice, Julian Aguon is entrenched in the struggles of the people of the Pacific to liberate themselves from colonial rule, defend their sacred sites, and obtain justice for generations of harm. In No Country for Eight-Spot Butterflies, Aguon shares his wisdom and reflections on love, grief, joy, and triumph and extends an offer to join him in a hard-earned hope for a better world.
    Ver livro
  • Digital Capitalism and Distributive Forces - cover

    Digital Capitalism and...

    Sabine Pfeiffer

    • 0
    • 6
    • 0
    Are robots taking away our jobs? Those who ask this question have misunderstood digitalisation - it is not an industrial revolution by other means. Sabine Pfeiffer searches for the actual novelties brought about by digitalisation and digital capitalism. In her analysis, she juxtaposes Marx's concept of productive force with the idea of distributive force. From the platform economy to artificial intelligence, Pfeiffer shows that digital capitalism is less about the efficient production of value, but rather about its fast, risk-free, and permanently secured realisation on the markets. The examination of this dynamic and its consequences also leads to the question of how destructive the distributive forces of digital capitalism might be.
    Ver livro