The Science Officer Omnibus 1

The Science Officer Omnibus 1 PDF

Author: Blaze Ward

Publisher: Science Officer Omnibus

Published: 2017-07-11

Total Pages: 412

ISBN-13: 9781943663491

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The first four novellas of Blaze Ward's Science Officer series collected together for the first time Javier lives quite happily on his long-range scout. Alone. Away from everyone, with his chickens, his fruit trees, and Suvi, an artificial intelligence who keeps him company and runs the ship. When space pirates attack Javier's ship, they get much more than they bargained for. Much more. Join Javier Aritza, a sarcastic and quirky hero, in the first four novellas of the Science Officer, a fast-paced, action-packed science fiction series. Included in Omnibus 1: The Science Officer The Mindfield The Gilded Cage The Pleasure Dome Part of the Alexandria Station universe.

Handbook for Science Public Information Officers

Handbook for Science Public Information Officers PDF

Author: W. Matthew Shipman

Publisher: University of Chicago Press

Published: 2015-08-15

Total Pages: 151

ISBN-13: 022617946X

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In today s changing media landscape, institutions such as universities, state and federal agencies, laboratories, nonprofit organizations, and research societies increasingly employ science public information officers to get the word out about the scientific research they are conducting or sponsoring. These PIOs now outnumber traditional science journalists and are increasingly responsible for communicating science to wider audiences. In this book, reporter-turned-PIO W. Matthew Shipman offers guidance to both new and experienced PIOs about how to make good decisions and serve as effective liaisons between their institutions and the public. Throughout, he focuses on applying general principles of effective communication to the specific challenges of explaining complex science to nonexpert audiences, coaching scientists to interact with the media, and navigating the particular types of communications crises that arise out of scientific research."

The Science Officer Omnibus 2

The Science Officer Omnibus 2 PDF

Author: Blaze Ward

Publisher: Science Officer Omnibus

Published: 2017-12-04

Total Pages: 432

ISBN-13: 9781943663675

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Javier enjoys life as a pirate, for the most part. The crew welcomes him. The Captain relies on him. One of these days, he will even get around to killing Djamila Sykora. Awesome. Until Valko Slavkov decides to start a war and comes after Storm Gauntlet. Javier must decide what to do with his life, because the war will not be settled easily, and he will need Zakhar's help. And Suvi. And Djamila. Because when Javier gets angry, the whole Concord will take notice. Javier Aritza, our sarcastic and quirky hero, returns for the next four novellas of the Science Officer, a fast-paced, action-packed science fiction series. Included in Omnibus #2 The Doomsday Vault The Last Flagship The Hammerfield Gambit The Hammerfield Payoff Part of the Alexandria Station universe.

Fire Officer

Fire Officer PDF

Author: International Association of Fire Chiefs

Publisher: Jones & Bartlett Learning

Published: 2010

Total Pages: 417

ISBN-13: 0763758353

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The National Fire Protection Association (NFPA) And The International Association of Fire Chiefs (IAFC) are pleased to bring you the Second Edition of Fire Officer: Principles and Practice, a modern integrated teaching and learning system For The Fire Officer I and II levels. Fire officers need to know how to make the transition from fire fighter to leader. Fire Officer: Principles and Practice, Second Edition is designed to help fire fighters make a smooth transition to fire officer. Covering the entire scope of NFPA 1021, Standard for Fire Officer Professional Qualifications, 2009 Edition, Fire Officer combines current content with dynamic features and interactive technology to better support instructors and help prepare future fire officers for any situation that may arise. Safety is Principle! the Second Edition features a laser-like focus on fire fighter safety. Reducing fire fighter injuries and deaths requires the dedicated efforts of every fire fighter, fire officer, fire department, And The entire fire community working together. it is with this goal in mind that we have integrated the 16 Firefighter Life Safety Initiatives developed by the National Fallen Firefighters Foundation into the text. Likewise, In each of the chapters, actual National Fire Fighter Near-Miss Reporting System cases are discussed to drive home safety And The lessons learned from those incidents. Some of the guiding principles added To The new edition include: Description of the “Everybody Goes Home” And The National Fire Fighter Near-Miss Reporting System, including over a dozen company officer near-miss examples throughout the text. Description of the IAFC/IAFF Firefighter Safety and Deployment Study. The latest fire fighter death and injury issues as reported by the NFPA® National Fallen Firefighters Foundation, IAFC, and IAFF, including results of a thirty-year retrospective study. Changes in fire-ground accountability and rapid intervention practices. Results of National Institute of Standards and Technology research on wind-driven fires, thermal imaging cameras, and fire dynamics as related to fire fighter survival. The latest developments in crew resource management. The Second Edition also reflects the latest developments in: Building a personal development plan through education, training, self-development, and experience, including a description of the Fire and Emergency Services Higher Education (FESHE) program. The impact of blogs, video sharing, and social networks. How to budget for a grant. Changes in the National Response Framework and National Incident Management System. Additional items related to fire fighter safety and health are included. Click here to view a sample chapter from Fire Officer: Principles and Practice, Second Edition .

Officer-Cadet

Officer-Cadet PDF

Author: Rick Shelley

Publisher: Jabberwocky Literary Agency, Inc.

Published: 2011-06-14

Total Pages: 316

ISBN-13: 1936535327

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The year is 2804 AD. Humanity has colonized the universe. But the authority of the Confederation of Human Worlds is spread thin. Where the Army of planet Earth cannot reach, mercenaries must keep the peace--and the Dirigent Mercenary Corps are the best of the best. Lon Nolan wasn’t supposed to be serving with the DMC. He’d earned his place at the elite North American Military Academy, and he’d excelled there. But when he’s kicked out of the Academy on trumped-up charges, he’s left with no choice: join the DMC or go home. So join he does, going from top of his class to bottom rung in the DMC. To become an officer, he’ll have to survive his first taste of combat with his new army, and if he fails, he won’t lose just his honor, but his life. The Dirigent Mercenary Corps books are classics of military science fiction. Rick Shelley was himself a veteran of the U.S. Army, and his experience and knowledge shine through on every page.

Seamanship

Seamanship PDF

Author: David O. Dodge

Publisher: Naval Inst Press

Published: 1981

Total Pages: 451

ISBN-13: 9780870216138

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This classic textbook provides information on shipboard deck practices, procedures and organization in the U.S. Navy.

How to be a Better Scientist

How to be a Better Scientist PDF

Author: Andrew Johnson

Publisher: Routledge

Published: 2018-11-20

Total Pages: 248

ISBN-13: 1351745034

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Understanding the fundamentals of conducting good science, that will have an impact, is the goal of every aspiring scientist. Providing a wealth of tips, How to be a Better Scientist is the book to read if you want to succeed in this competitive field. Helping readers gain an insight into what good science means and how to conduct it, this book is ideal to read cover-to-cover or dip into. It includes easily accessible guidance on topics such as: • What characteristics should a scientist have? • Understanding the hypothesis • Integrity in science • Lack of confidence and the embarrassment factor • Time management • Coping with rejection • Interacting with the science community With its broad focus, this friendly guide will enthuse, inspire and challenge, and is an essential companion for all aspiring scientists.

Deep Learning and the Game of Go

Deep Learning and the Game of Go PDF

Author: Kevin Ferguson

Publisher: Simon and Schuster

Published: 2019-01-06

Total Pages: 611

ISBN-13: 1638354014

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Summary Deep Learning and the Game of Go teaches you how to apply the power of deep learning to complex reasoning tasks by building a Go-playing AI. After exposing you to the foundations of machine and deep learning, you'll use Python to build a bot and then teach it the rules of the game. Foreword by Thore Graepel, DeepMind Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology The ancient strategy game of Go is an incredible case study for AI. In 2016, a deep learning-based system shocked the Go world by defeating a world champion. Shortly after that, the upgraded AlphaGo Zero crushed the original bot by using deep reinforcement learning to master the game. Now, you can learn those same deep learning techniques by building your own Go bot! About the Book Deep Learning and the Game of Go introduces deep learning by teaching you to build a Go-winning bot. As you progress, you'll apply increasingly complex training techniques and strategies using the Python deep learning library Keras. You'll enjoy watching your bot master the game of Go, and along the way, you'll discover how to apply your new deep learning skills to a wide range of other scenarios! What's inside Build and teach a self-improving game AI Enhance classical game AI systems with deep learning Implement neural networks for deep learning About the Reader All you need are basic Python skills and high school-level math. No deep learning experience required. About the Author Max Pumperla and Kevin Ferguson are experienced deep learning specialists skilled in distributed systems and data science. Together, Max and Kevin built the open source bot BetaGo. Table of Contents PART 1 - FOUNDATIONS Toward deep learning: a machine-learning introduction Go as a machine-learning problem Implementing your first Go bot PART 2 - MACHINE LEARNING AND GAME AI Playing games with tree search Getting started with neural networks Designing a neural network for Go data Learning from data: a deep-learning bot Deploying bots in the wild Learning by practice: reinforcement learning Reinforcement learning with policy gradients Reinforcement learning with value methods Reinforcement learning with actor-critic methods PART 3 - GREATER THAN THE SUM OF ITS PARTS AlphaGo: Bringing it all together AlphaGo Zero: Integrating tree search with reinforcement learning