Outros livros que poderiam interessá-lo

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  The Jupiter Sun - The Greatest...

  Michael Mathiesen

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  This book was inspired by my previous work of Science Fiction in: 'The Book To End All Books'. At the climactic conclusion of that book, I realized that we didn't have the 1,000 years I gave humankind to create a 2nd sun in the sky. We would be extinct by then and long buried in the debris of our own destruction. 
  So, I decided to put all the speculative knowledge that I had learned from my science fiction novel into use in this book in hopes that perhaps humanity would be wise enough to give it a try. We can do this. We can ignite Jupiter and create a 2nd sun. And, I also answer the question - Why would we do this? 
  Humanity has some major challenges to its continued existence that are caused by our technology. But now we have the opportunity to use our advanced space and rocket technology and our laser Fusion Reactor technology to combine them into a major project for the world to take on. 
  We can use our current knowledge of nuclear fusion and space travel to send a team to create a station on the four moons of Jupiter and shoot high energy red laser beams into the hydrogen core of Jupiter to ignite the gas giant into a 2nd sun in our sky. Don't worry - Jupiter is five times further away from us than our present sun, so it would not create any significant amounts of additional heat. It's also 1,000 times smaller than our 1st sun, so again, we have nothing to fear from increased heat. BUT, we would gain twice as much FREE AND SUSTAINABLE SOLAR ENERGY from another sun and this could be utilized by both the Earth and Mars to save our species.

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  Weather Science - How...

  Brian Clegg

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  Everyone has an interest in the weather, whether it's to check the prospects for a day out or to know when best to harvest a crop. The Earth's weather systems also provide some of the most dramatic forces of nature, from the vast release of energy in a lightning flash to the devastating impact of tornadoes and hurricanes. 
   
  For centuries, our only real guide to future weather was folklore, but with the introduction of the first weather forecasts and maps in Victorian times, attempts were made to give some warning of the weather to come. Until relatively recently, these forecasts could be wildly inaccurate - think of Michael Fish's denial that there was a storm on the way the night before the UK's great storm of 1987. This was due to the mathematically chaotic nature of weather systems, first discovered in the 1960s, the understanding of which would transform forecasting from the 1990s and mean that meteorologists became some of the foremost users of supercomputers. 
   
  From the crystalline perfection of the snowflake to the transfer of energy from the Sun, science lies at the heart of the weather and our understanding of it. In recent years, weather science has moved to the leading edge with advanced modelling, versatile use of satellite data and a better understanding of mathematical chaos. This is a true example of hot science at work.

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  Living with Epilepsy - An...

  Edmonton Epilepsy Association

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  This audiobook is designed to provide general information about Epilepsy to the public. It does not include specific medical advice. People with epilepsy should not make changes based on this information. Always consult your physician prior to making any changes. 

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  Elon & The Future That Forgot Us

  Marcus Reed

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  Elon & The Future That Forgot Us is a meditation on what happens when progress evolves faster than empathy. It chronicles the transformation of technology from servant to sovereign, exploring how humanity built machines in its image — and was quietly erased from the design. The story unfolds as both prophecy and elegy, examining our collective faith in innovation, the myth of genius, and the loneliness of a world that remembers everything except why it was created. Through poetic reflection, it questions whether the future we built can still recognize us, and whether memory — not speed — might be our last act of rebellion.

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  Machine Learning with Python for...

  Brandon Scott

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  Dive into the world of machine learning with "Machine Learning with Python for Beginners," a comprehensive guide designed to introduce you to the fundamentals of machine learning using Python. This accessible book equips beginners with the essential tools and knowledge needed to embark on practical machine learning projects. 
  From setting up your Python environment to exploring advanced algorithms, this book covers a broad spectrum of topics including supervised and unsupervised learning, data handling, visualization, and even neural networks and deep learning. Each chapter is crafted to build upon the previous one, ensuring a structured and engaging learning path. 
  What sets this book apart is its focus on practical implementation. You'll not only learn about the theories and concepts that underpin machine learning but also apply them through exciting projects, such as predicting house prices, classifying emails, recognizing images, and customer segmentation. These projects are designed to solidify your understanding and inspire you to apply machine learning to problems you're passionate about. 
  "Machine Learning with Python for Beginners" is perfect for:Beginners to programming or those new to machine learning.Intermediate programmers who want to solidify their understanding of machine learning fundamentals.Educators and students looking for a resource-rich, accessible introduction to machine learning. 
  Featuring tips on best practices, staying current with trends, and resources for deeper exploration, this book is your first step towards mastering machine learning with Python. Join us on this educational journey and start transforming data into actionable insights today!

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  The Shocking Truth about...

  Zoey Fraisers

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  For decades, renewable energy has been marketed as the ultimate solution to climate change, pollution, and our reliance on fossil fuels. Solar panels and wind turbines fill the landscape, promising a cleaner, greener future. Governments, corporations, and activists push the narrative that renewables are not only necessary but inevitable. Billions of dollars have been poured into the transition, with incentives and subsidies encouraging the mass adoption of so-called “clean energy.” On the surface, this movement appears to be a global success.  
    
  Yet, beneath the optimistic rhetoric lies a far more complex and inconvenient truth. While renewable energy offers undeniable benefits, it also comes with significant drawbacks that are rarely discussed. Solar farms consume vast amounts of land, wind turbines disrupt ecosystems, and hydropower alters entire river systems, sometimes with devastating consequences. The environmental cost of producing, maintaining, and disposing of renewable energy infrastructure is frequently overlooked. Furthermore, the idea that renewables alone can sustain modern society is built on a foundation of wishful thinking rather than reality.  
    
  One of the biggest challenges facing renewables is reliability. The sun doesn’t always shine, and the wind doesn’t always blow. Unlike fossil fuels, which provide a constant and controllable energy supply, renewables fluctuate unpredictably. This intermittency creates enormous challenges for electrical grids, often requiring backup from coal, natural gas, or nuclear power. Energy storage technology, such as batteries, is still far from capable of bridging this gap at the scale necessary. The result is an energy system that is fragile, expensive, and, in some cases, even more dependent on fossil fuels than before. 

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