Altri libri che potrebbero interessarti

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  Splanchnology - Visceral Organs

  Mike Crawford

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  Splanchnology is the branch of anatomy that focuses on the study of visceral organs, which include the digestive, respiratory, urinary, and reproductive systems. These organs are primarily located within the thoracic, abdominal, and pelvic cavities, playing crucial roles in sustaining life. Understanding splanchnology is essential for medical professionals, as it provides foundational knowledge for diagnosing and treating various diseases affecting the body's internal organs. 
  The term "splanchnology" originates from the Greek word splanchnon, meaning "viscera" or "entrails." Historically, the study of visceral organs has been a key aspect of medical science, with ancient civilizations such as the Egyptians and Greeks making significant contributions to anatomical knowledge. The field has evolved considerably with advances in medical imaging, surgical techniques, and molecular biology, allowing for a more comprehensive understanding of organ function and pathology. 
  Visceral organs are classified based on their primary functions. The digestive system, comprising the stomach, intestines, liver, and pancreas, is responsible for processing and absorbing nutrients. The respiratory system, including the lungs and airways, facilitates gas exchange, supplying oxygen to the body while removing carbon dioxide. The urinary system, with the kidneys, bladder, and associated structures, is essential for waste excretion and fluid balance. The reproductive system, differing between males and females, ensures the continuation of life through reproduction. Each of these organ systems works in concert with others, maintaining homeostasis and overall health.

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  LLMOps - A Comprehensive Guide...

  Et Tu Code

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  Unlock the power of Large Language Models (LLMs) with this comprehensive guide! 'LLMOps: A Comprehensive Guide to Deploying, 
  Managing, and Optimizing Large Language Models' takes you on a journey from understanding LLMs to deploying them in real-world applications.  
  Learn how to manage LLM inference pipelines, optimize model performance, and troubleshoot common issues.  
  Discover best practices for data preparation, model selection, and hardware configuration.  
  Whether you're an AI researcher or a software engineer, this book provides the expert insights and practical guidance you need to successfully integrate LLMs into your projects.

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  Over the Seawall - Tsunamis...

  Stephen Robert Miller

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  In March 2011, people in a coastal Japanese city stood atop a seawall watching the approach of the tsunami that would kill them. They believed—naively—that the huge concrete barrier would save them. Instead they perished, betrayed by the very thing built to protect them. Erratic weather, blistering drought, rising seas, and ecosystem collapse now affect every inch of the globe. Increasingly, we no longer look to stop climate change, choosing instead to adapt to it. 
   
   
   
  Never have so many undertaken such a widespread, hurried attempt to remake the world. Predictably, our hubris has led to unintended—and sometimes disastrous—consequences. Academics call it maladaptation; in simple terms, it's about solutions that backfire. Over the Seawall tells us the stories behind these unintended consequences and the fixes that can do more harm than good. From seawalls in coastal Japan, to the reengineered waters in the Ganges River Delta, to the artificial ribbon of water supporting both farms and urban centers in parched Arizona, Stephen Robert Miller traces the histories of engineering marvels that were once deemed too smart and too big to fail. In each he takes us into the land and culture, seeking out locals and experts to better understand how complicated, grandiose schemes led instead to failure, and to find answers to the technologic holes we've dug ourselves into.

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  Data-Intensive Applications -...

  Brian Murray

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  “Data-Intensive Applications: Design, Development, and Deployment Strategies for Scalable and Reliable Systems” is a comprehensive guide to building robust and scalable applications in the era of big data. With the explosion of data in recent years, building applications that can handle massive amounts of data has become increasingly important. This book covers the entire lifecycle of data-intensive applications, from designing and developing the application to deploying it in a production environment. 
  The book begins with an introduction to the challenges and opportunities of building data-intensive applications. It then moves on to cover the key concepts and technologies used in building these applications, including distributed systems, data processing frameworks, and storage technologies. The book also covers best practices for designing and developing data-intensive applications, including how to handle data at scale, how to ensure reliability and fault tolerance, and how to optimize performance. 
  In addition, the book covers the deployment and management of data-intensive applications, including strategies for deploying applications in the cloud, managing infrastructure, and monitoring and debugging applications in production. The book also includes case studies and real-world examples from companies that have successfully built and deployed data-intensive applications. 
  Whether you are a software engineer, data scientist, or IT professional, this book will provide you with the knowledge and skills you need to build and deploy data-intensive applications that are scalable, reliable, and performant. 
   

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  Traditional Home Remedies - The...

  Owen Jones

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  I hope that you will find the information helpful, useful and profitable. 
  From long before the `medical profession` was remotely as reliable as it is today, people relied mostly on herbal cures. Most people had a rudimentary knowledge of the capabilities of of the flora that grew in their neighbourhood, and the older women tended to know more than most. These women were often referred to as wise women. By the way, they were the ones later persecuted by the established churches as witches, 
  The people who had this this superior knowledge of local herbs were heavily relied upon by the local community, and the best of the best would also `import` herbs from further afield. This knowledge has not been lost, but fewer modern men and women are in possession of it than their parents` and grandparents` generations. It could have been said to be dying out 
  However, there has been a revival of interest in the ancient cures, often referred to as traditional, alternative or natural remedies. There are many reasons for this. Some might be a breakdown of trust in the establishment and advertisers; the soaring cost of modern drugs; the increasing difficulty of getting to see a doctor; the side effects of strong chemical drugs; and even an upswell in the desire to return to a less chemical way of life. 
  Whatever the reason for your interest in this topic, I hope you enjoy this booklet. 
  The information in this ebook on various aspects of traditional home remedies and related ideas is organised into 19 chapters of about 500-600 words each.

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  Data Mesh - Comprehensive Guide...

  Alexa Campbell

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  Gain a broader understanding of Data Mesh and logical architecture. 
  Have you ever asked yourself why you need to learn about Data Mesh? 
  What is their use in our daily life? 
  Have you ever wondered what the logical architecture is for a data mesh? 
  Your data is like a mesh. It's everywhere, and it's connected. 
  You have data on your servers, your networks, and your clients. And it's not just one kind of data—it's all different types that need to be organized and made sense of to be useful. The problem is that these data types are often stored in different places with different formats, making them hard to access and use together. 
  This book will help you understand the root causes of this problem and how to solve them using today's most advanced techniques in data management. 
  It is a book about the structure of a data mesh. It defines data mesh, how it works, and why you might want to use it. 
  In this book, you will:Learn the Data Mesh, its state, and its futureLearn about the practical uses of Data MeshGet background knowledge about Data Mesh with concrete examplesMaster Domain Ownership PrincipleDiscover the principle behind the self-serve data platformLearn about the federated computational government principleDiscover the point of inflectionMaster the logical architecture 
  Data Mesh is not just a framework; it's an approach to data modeling that emphasizes simplicity, clarity, and scalability. This book will teach you how to use Data Mesh to build a logical architecture that scales. 
  Don't wait another second; click the “Add to Cart” button now, and the possibilities are endless!

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