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Train Like a Superhero "I recommend this book to all personal trainers, training geeks, and people who just want to learn about different training methods and philosophies.” ―JC Santana, author of Functional Training #1 Best Seller in Physical Education and Coaching Body and Brain Training Designed to Unlock Your Amazing Hidden Potential Change your life. Many of us have forgotten how to move correctly. We live with muscular imbalances, constant pain, and low energy. Adam Sinicki is on a mission to change this. He is best known for his YouTube channel “The Bioneer”, where he provides expertise on functional training, brain training, productivity, flow states, and more. Be better than just functional. Currently, functional training is exercise as rehabilitation. It aims to restore normal, healthy strength and mobility using compound and multi-faceted movements. In Functional Training and Beyond, Adam reveals how to become “better than just functional.” We can improve our physical performance and our mental state. We can train to move better, think more clearly, feel energetic, and live more efficiently. Advanced way to train. Until now working out has had one of two goals─get bigger or get leaner. But why are those the only goals? What if there was a third, practical, healthy and exciting way to train our body and our mind? Learn how we can train our brains just like our bodies, and how to incorporate this into a comprehensive, well-rounded program. Discover: New ways to train body and mind Training for greater mobility, less pain, improved mood, and increased energy The fun of training with kettlebells, calisthenics, clubbells, street workouts, animal moves, handstands, rope climbs, isometrics, and more Fans of Overcoming Gravity, You Are Your Own Gym, The World’s Fittest Book, New Functional Training for Sports, or Calisthenics for Beginners―discover a new and better way to train both your body and mind in Functional Training and Beyond!

This book constitutes the refereed proceedings of the 14th International Conference on Decision and Game Theory for Security, GameSec 2023, held in Avignon, France, during October 18–20, 2023. The 19 full papers and 4 short papers included in this book were carefully reviewed and selected from 33 submissions. They were organized in topical sections as follows: Mechanism design and imperfect information, Security Games, Learning in security games, Cyber deception, Economics of security, Information and privacy and Short articles.

This handbook presents state-of-the-art research in reinforcement learning, focusing on its applications in the control and game theory of dynamic systems and future directions for related research and technology. The contributions gathered in this book deal with challenges faced when using learning and adaptation methods to solve academic and industrial problems, such as optimization in dynamic environments with single and multiple agents, convergence and performance analysis, and online implementation. They explore means by which these difficulties can be solved, and cover a wide range of related topics including: deep learning; artificial intelligence; applications of game theory; mixed modality learning; and multi-agent reinforcement learning. Practicing engineers and scholars in the field of machine learning, game theory, and autonomous control will find the Handbook of Reinforcement Learning and Control to be thought-provoking, instructive and informative.

First published in 1986 and lauded by historians and World War II buffs eager for the Japanese viewpoint, this collection of essays makes significant contributions to the field of World War II literature. In it, top-ranking Japanese officers offer their personal perspectives of the Pacific War. This second edition adds five articles to the original twelve to present a full picture of the Japanese navy’s role in the war. Most of these moving accounts were written in the 1950s and retain the immediacy felt by the writers when they participated in the events. They provide valuable information on the strategy, tactics, and operations of the Japanese fleet, as well as insights into the personalities and motives of its leaders. Here, Vice Admiral Shigeru Fukudome comes to grips with allegations that the assault on Pearl Harbor represented strategic folly, political blundering, and tactical stupidity. Captain Mitsuo Fuchida describes how his bombing group unleashed “devils of doom” on Battleship Row, and Mitsuru Yoshida gives an eye-witness account of the sinking of the famous battleship Yamato. The new contributions to the volume discuss operations in the Indian Ocean, the battle of the Philippine Sea, the protection of merchant shipping, submarine warfare, and Japan’s overall naval strategy.

May 11, 1997, was a watershed moment in the history of artificial intelligence (AI): the IBM supercomputer chess engine, Deep Blue, beat the world Chess champion, Garry Kasparov. It was the first time a machine had triumphed over a human player in a Chess tournament. Fast forward 19 years to May 9, 2016, DeepMind’s AlphaGo beat the world Go champion Lee Sedol. AI again stole the spotlight and generated a media frenzy. This time, a new type of AI algorithm, namely machine learning (ML) was the driving force behind the game strategies. What exactly is ML? How is it related to AI? Why is deep learning (DL) so popular these days? This book explains how traditional rule-based AI and ML work and how they can be implemented in everyday games such as Last Coin Standing, Tic Tac Toe, or Connect Four. Game rules in these three games are easy to implement. As a result, readers will learn rule-based AI, deep reinforcement learning, and more importantly, how to combine the two to create powerful game strategies (the whole is indeed greater than the sum of its parts) without getting bogged down in complicated game rules. Implementing rule-based AI and ML in these straightforward games is quick and not computationally intensive. Consequently, game strategies can be trained in mere minutes or hours without requiring GPU training or supercomputing facilities, showcasing AI's ability to achieve superhuman performance in these games. More importantly, readers will gain a thorough understanding of the principles behind rule-based AI, such as the MiniMax algorithm, alpha-beta pruning, and Monte Carlo Tree Search (MCTS), and how to integrate them with cutting-edge ML techniques like convolutional neural networks and deep reinforcement learning to apply them in their own business fields and tackle real-world challenges. Written with clarity from the ground up, this book appeals to both general readers and industry professionals who seek to learn about rule-based AI and deep reinforcement learning, as well as students and educators in computer science and programming courses.

Super Flexibility and Strength for Peak Performance • In the theoretical chapter, you will learn PRINCIPLES which regulate flexibility and specific strength development. • Through the explanations of joint mechanism you can learn about your becoming able to perform splits in the future. • In the chapter on dynamic stretching, you will discover how to acquire IMPRESSIVE EXPLOSIVE STRENGTH. • In the chapter dealing with isometric PNF, this extraordinary technique will be explained to you in detail, and you will enhance your articular mobility astoundingly, eventually being able to perform complete splits cold. • In the chapter on static active flexibility, THE GYMNASTS’ SECRET will be REVEALED to you, and you will learn to challenge the force of gravity. • In the chapter on specialized equipment, you will be illustrated the latest techniques for use of particular sports apparatus in order to enhance your flexibility. Replete with detailed training schemes for each level. www.powerflexsystem.com

M. C. Roco and W.S. Bainbridge In the early decades of the 21st century, concentrated efforts can unify science based on the unity of nature, thereby advancing the combination of nanotechnology, biotechnology, information technology, and new technologies based in cognitive science. With proper attention to ethical issues and societal needs, converging in human abilities, societal technologies could achieve a tremendous improvement outcomes, the nation's productivity, and the quality of life. This is a broad, cross cutting, emerging and timely opportunity of interest to individuals, society and humanity in the long term. The phrase "convergent technologies" refers to the synergistic combination of four major "NBIC" (nano-bio-info-cogno) provinces of science and technology, each of which is currently progressing at a rapid rate: (a) nanoscience and nanotechnology; (b) biotechnology and biomedicine, including genetic engineering; (c) information technology, including advanced computing and communications; (d) cognitive science, including cognitive neuroscience. Timely and Broad Opportunity. Convergence of diverse technologies is based on material unity at the nanoscale and on technology integration from that scale.

The five-volume set LNCS 14355, 14356, 14357, 14358 and 14359 constitutes the refereed proceedings of the 12th International Conference on Image and Graphics, ICIG 2023, held in Nanjing, China, during September 22–24, 2023. The 166 papers presented in the proceedings set were carefully reviewed and selected from 409 submissions. They were organized in topical sections as follows: computer vision and pattern recognition; computer graphics and visualization; compression, transmission, retrieval; artificial intelligence; biological and medical image processing; color and multispectral processing; computational imaging; multi-view and stereoscopic processing; multimedia security; surveillance and remote sensing, and virtual reality. The ICIG 2023 is a biennial conference that focuses on innovative technologies of image, video and graphics processing and fostering innovation, entrepreneurship, and networking. It will feature world-class plenary speakers, exhibits, and high-quality peer reviewed oral and poster presentations.