Guidés par la nécessité, stimulés par le désir
Pour se protéger de déboires passés, Rylee Thomas est toujours dans le contrôle d’elle-même jusqu’au jour où elle rencontre le seul homme qui, justement, pourrait lui donner envie de lâcher prise… Colton Donavan, un boy superbe, arrogant et ténébreux, habitué à obtenir tout ce qu’il désire.
Une histoire d’amour torride entre…
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Author : K. Bromberg
Genre : Fiction
Summary : From New York Times Best-Selling Author K. Bromberg comes an unforgettable series about lust, love, redemption, and healing... Our paths should never have crossed. Colton Donavan was arrogant, exuded that bad boy vibe, and embodied everything I never wanted. And yet all it took was one night, one hallway, and one stolen kiss for me to know I hated him and desired him instantly. My heart was healing. His soul was damaged. But with one bid, one little boy, and one carnival date, I couldn’t walk away and he wouldn’t let me in. This is our story. Our fight. Our perfectly imperfect love.
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Author : Robert Herjavec
Genre : Business & Economics
Summary : Robert Herjavec has lived the classic “rags to riches” story, from having $20 in his pocket to starting up technology companies worth hundreds of millions of dollars. Now the star of television’s Dragons’ Den and Shark Tank, this son of Croatian immigrants earned his incredible wealth by overcoming the odds with hard work and determination. On television, Herjavec bankrolls the best inventions and shoots down the best of intentions. Now, he’s sharing his hard-won wisdom in one of the most inspirational business books of recent times. In Driven, Herjavec shares the secrets that took him from his job waiting tables to growing his nascent technology company into a world-class conglomerate, The Herjavec Group. Herjavec’s principles are as valuable in the living room as they are in the boardroom. Anyone can succeed, on their own terms, by following his sage but simple advice—if they’re willing to take chances, to take control of their own future and to stay true to their own visions.
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Author : Alex Davies
Genre : Technology & Engineering
Summary : Alex Davies tells the “illuminating and important narrative” (Steven Levy, author of Facebook: The Inside Story) of the quest to develop driverless cars—and the fierce competition between Google, Uber, and other companies in a race to revolutionize our lives. The self-driving car has been one of the most vaunted technological breakthroughs of recent years. But early promises that these autonomous vehicles would soon be on the roads have proven premature. Alex Davies follows the twists and turns of the story from its origins to today. The story starts with the Defense Advanced Research Projects Agency (DARPA), which was charged with developing a land-based equivalent to the drone, a vehicle that could operate in war zones without risking human lives. DARPA issued a series of three “Grand Challenges” that attracted visionaries, many of them students and amateurs, who took the technology from Jetsons-style fantasy to near-reality. The young stars of the Challenges soon connected with Silicon Valley giants Google and Uber, intent on delivering a new way of driving to the civilian world. Soon the automakers joined the quest, some on their own, others in partnership with the tech titans. But as road testing progressed, it became clear that the challenges of driving a car without human assistance were more formidable than anticipated. Davies profiles the industry’s key players from the early enthusiasm of the DARPA days to their growing awareness that while this spin on artificial intelligence isn’t yet ready for rush-hour traffic, driverless cars are poised to remake how the world moves. Driven explores “the epic tale of competition and comradery, long odds and underdogs, all in service of a world-changing moonshot” (Andy Greenberg, author of Sandworm: A New Era of Cyberwar).
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Author : Radu-Emil Precup
Genre : Technology & Engineering
Summary : This book categorizes the wide area of data-driven model-free controllers, reveals the exact benefits of such controllers, gives the in-depth theory and mathematical proofs behind them, and finally discusses their applications. Each chapter includes a section for presenting the theory and mathematical definitions of one of the above mentioned algorithms. The second section of each chapter is dedicated to the examples and applications of the corresponding control algorithms in practical engineering problems. This book proposes to avoid complex mathematical equations, being generic as it includes several types of data-driven model-free controllers, such as Iterative Feedback Tuning controllers, Model-Free Controllers (intelligent PID controllers), Model-Free Adaptive Controllers, model-free sliding mode controllers, hybrid model‐free and model‐free adaptive‐Virtual Reference Feedback Tuning controllers, hybrid model-free and model-free adaptive fuzzy controllers and cooperative model-free controllers. The book includes the topic of optimal model-free controllers, as well. The optimal tuning of model-free controllers is treated in the chapters that deal with Iterative Feedback Tuning and Virtual Reference Feedback Tuning. Moreover, the extension of some model-free control algorithms to the consensus and formation-tracking problem of multi-agent dynamic systems is provided. This book can be considered as a textbook for undergraduate and postgraduate students, as well as a professional reference for industrial and academic researchers, attracting the readers from both industry and academia.
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Author : Eric Chassignet
Genre : Science
Summary : Buoyancy is one of the main forces driving flows on our planet, especially in the oceans and atmosphere. These flows range from buoyant coastal currents to dense overflows in the ocean, and from avalanches to volcanic pyroclastic flows on the Earth's surface. This book brings together contributions by leading world scientists to summarize our present theoretical, observational, experimental and modeling understanding of buoyancy-driven flows. Buoyancy-driven currents play a key role in the global ocean circulation and in climate variability through their impact on deep-water formation. Buoyancy-driven currents are also primarily responsible for the redistribution of fresh water throughout the world's oceans. This book is an invaluable resource for advanced students and researchers in oceanography, geophysical fluid dynamics, atmospheric science and the wider Earth sciences who need a state-of-the-art reference on buoyancy-driven flows.
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Author : Fei Tao
Genre : Technology & Engineering
Summary : Digital Twin Driven Smart Design draws on the latest industry practice and research to establish a basis for the implementation of digital twin technology in product design. Coverage of relevant design theory and methodology is followed by detailed discussions of key enabling technologies that are supported by cutting-edge case studies of implementation. This groundbreaking book explores how digital twin technology can bring improvements to different kinds of product design process, including functional, lean and green. Drawing on the work of researchers at the forefront of this technology, this book is the ideal guide for anyone interested in digital manufacturing or computer-aided design. Provides detailed case studies that explore key applications of digital twin technology in design practice Introduces the concept of using digital twins to create the virtual commissioning of design projects Presents a framework to help engineers incorporate digital twins into their product design process
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Author : Paul Bolton
Genre : Science
Summary : The first book of its kind to highlight the unique capabilities of laser-driven acceleration and its diverse potential, Applications of Laser-Driven Particle Acceleration presents the basic understanding of acceleration concepts and envisioned prospects for selected applications. As the main focus, this new book explores exciting and diverse application possibilities, with emphasis on those uniquely enabled by the laser driver that can also be meaningful and realistic for potential users. It also emphasises distinction, in the accelerator context, between laser-driven accelerated particle sources and the integrated laser-driven particle accelerator system (all-optical and hybrid versions). A key aim of the book is to inform multiple, interdisciplinary research communities of the new possibilities available and to inspire them to engage with laser-driven acceleration, further motivating and advancing this developing field. Material is presented in a thorough yet accessible manner, making it a valuable reference text for general scientific and engineering researchers who are not necessarily subject matter experts. Applications of Laser-Driven Particle Acceleration is edited by Professors Paul R. Bolton, Katia Parodi, and Jörg Schreiber from the Department of Medical Physics at the Ludwig-Maximilians-Universität München in München, Germany. Features: Reviews the current understanding and state-of-the-art capabilities of laser-driven particle acceleration and associated energetic photon and neutron generation Presents the intrinsically unique features of laser-driven acceleration and particle bunch yields Edited by internationally renowned researchers, with chapter contributions from global experts
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Author : Bart De Langhe
Genre : Business & Economics
Summary : Companies have more data at their fingertips than ever before. Yet, studies show that most executives and organizations fail to extract real value from it. Challenging the conventional wisdom of data-driven decision-making, marketing professors and behavioral scientists Bart De Langhe and Stefano Puntoni argue that many analytics efforts flounder because data analyses are disconnected from the decisions to be made. In their important book, they offer a new approach they call decision-driven analytics. Counterintuitively, they argue that the key to making good decisions with data is to start by putting data in the background. Drawing from their own research and teaching, as well as real-world business cases, De Langhe and Puntoni offer four pillars of decision-driven analytics and guide you around common mistakes that have held back many organizations from using data for impact. In Decision-Driven Analytics, you will learn how to: + Avoid common pitfalls in data-driven decision-making; + Close the gap between managers and decision-making on one side, and data scientists and data analytics on the other; + Enhance the impact of data analytics on business outcomes; + Think without data to make better decisions; + Prepare for artificial intelligence’s impact on data analytics; and + Evaluate the costs and benefits of decision-driven analytics. A must-read for anyone who wants to harness the power of data for competitive advantage, Decision-Driven Analytics will equip you with the skills and tools you need to more effectively use data for business outcomes and to make better decisions in today’s complex and data-rich world.
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Author : Jacqueline Schmittem
Genre :
Summary : A dynamic business environment, various digital marketing tools and the power of data are main challenges travel companies have to face. Up-to-dateness and flexibility are crucial for increasing competitiveness and surviving in the jungle of travel firms. But how can these challenges be managed? With a holistic view, business intelligence enhances data-driven decision-making, addresses challenges and brings firms to the next level. By combining data technologies with affiliate marketing, this book develops a data-driven concept for enhanced decision-making in affiliate travel marketing.
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Author : Burger, Erik
Genre : Electronic computers. Computer science
Summary : Modern software development faces the problem of fragmentation of information across heterogeneous artefacts in different modelling and programming languages. In this dissertation, the Vitruvius approach for view-based engineering is presented. Flexible views offer a compact definition of user-specific views on software systems, and can be defined the novel ModelJoin language. The process is supported by a change metamodel for metamodel evolution and change impact analysis.