An enthusiastic presentation of the complex set of uniform duals of uniform polyhedral shapes.

This is an excellent book on dual model and string theories. This updated issue of the author's book ‘Dual Resonance Models’ has new chapters on string theories added to it. This new volume therefore provides much background on the non-symmetrical aspects as well as modern development in the theory of strong interactions. This is a must for high energy physicists.

This informative volume presents the first comprehensive review of research and theory on dual-process models of social information processing. These models distinguish between qualitatively different modes of information processing in making decisions and solving problems (e.g., associative versus rule-based, controlled versus uncontrolled, and affective versus cognitive modes). Leading contributors review the basic assumptions of these approaches and review the ways they have been applied and tested in such areas as attitudes, stereotyping, person perception, memory, and judgment. Also examined are the relationships between different sets of processing modes, the factors that determine their utilization, and how they work in combination to affect responses to social information.

This is an excellent book on dual model and string theories. This updated issue of the author's book ?Dual Resonance Models? has new chapters on string theories added to it. This new volume therefore provides much background on the non-symmetrical aspects as well as modern development in the theory of strong interactions. This is a must for high energy physicists.

Dual Process Theory 2.0 provides a comprehensive overview of the new directions in which dual process research is heading. Human thinking is often characterized as an interplay between intuition and deliberation and this two-headed, dual process view of human thinking has been very influential in the cognitive sciences and popular media. However, despite the popularity of the dual process framework it faces multiple challenges. Recent advances indicate that there is a strong need to re-think some of the fundamental assumptions of the original dual process model. With chapters written by leading scholars who have been actively involved in the development of an upgraded ‘Dual Process Theory 2.0’, this edited volume presents an accessible overview of the latest empirical findings and theoretical ideas.. With cutting edge insights on the interaction between intuition and deliberation, Dual Process Theory 2.0 should be of interest to psychologists, philosophers, and economists who are using dual process models.

This concise student edition of The Cambridge Handbook of the Psychology of Prejudice includes new pedagogical features and instructor resources.

The equations of motion are derived for two existing dual balance systems used at the Arnold Engineering Development Center (AEDC) to obtain measurements of aerodynamic cross and cross-coupling derivatives. The complete equations of motion presented include the effects of sting motion. Each system incorporates a dynamic cross flexure balance and a five-component static balance. The primary deflection modes of the balances were confirmed using a holographic interferometry measurement technique. Both laboratory and wind tunnel data are presented to illustrate dynamic effects. (Author).

Many AI (and machine learning) tasks present in dual forms, e.g., English-to-Chinese translation vs. Chinese-to-English translation, speech recognition vs. speech synthesis,question answering vs. question generation, and image classification vs. image generation. Dual learning is a new learning framework that leverages the primal-dual structure of AI tasks to obtain effective feedback or regularization signals in order to enhance the learning/inference process. Since it was first introduced four years ago, the concept has attracted considerable attention in multiple fields, and been proven effective in numerous applications, such as machine translation, image-to-image translation, speech synthesis and recognition, (visual) question answering and generation, image captioning and generation, and code summarization and generation. Offering a systematic and comprehensive overview of dual learning, this book enables interested researchers (both established and newcomers) and practitioners to gain a better understanding of the state of the art in the field. It also provides suggestions for further reading and tools to help readers advance the area. The book is divided into five parts. The first part gives a brief introduction to machine learning and deep learning. The second part introduces the algorithms based on the dual reconstruction principle using machine translation, image translation, speech processing and other NLP/CV tasks as the demo applications. It covers algorithms, such as dual semi-supervised learning, dual unsupervised learning and multi-agent dual learning. In the context of image translation, it introduces algorithms including CycleGAN, DualGAN, DiscoGAN cdGAN and more recent techniques/applications. The third part presents various work based on the probability principle, including dual supervised learning and dual inference based on the joint-probability principle and dual semi-supervised learning based on the marginal-probability principle. The fourth part reviews various theoretical studies on dual learning and discusses its connections to other learning paradigms. The fifth part provides a summary and suggests future research directions.

Clifford algebra for dual quaternions has emerged recently as an alternative to standard matrix algebra as a computational framework for computer graphics. This book presents dual quaternions and their associated Clifford algebras in a new light, accessible to and geared toward the computer graphics community. Collecting all the associated formulas and theorems in one place, this book provides an extensive and rigorous treatment of dual quaternions, as well as showing how two models of Clifford algebra emerge naturally from the theory of dual quaternions. Each section comes complete with a set of exercises to help readers sharpen and practice their understanding. This book is accessible to anyone with a basic knowledge of quaternion algebra and is of particular use to forward-thinking members of the computer graphics community.

Game-changing disruptions will likely unfold on your watch. Be ready. In Dual Transformation, Scott Anthony, Clark Gilbert, and Mark Johnson propose a practical and sustainable approach to one of the greatest challenges facing leaders today: transforming your business in the face of imminent disruption. Dual Transformation shows you how your company can come out of a market shift stronger and more profitable, because the threat of disruption is also the greatest opportunity a leadership team will ever face. Disruptive change opens a window of opportunity to create massive new markets. It is the moment when a market also-ran can become a market leader. It is the moment when business legacies are created. That moment starts with the core dual transformation framework: Transformation A: Repositioning today’s business to maximize its resilience, such as how Adobe boldly shifted from selling packaged software to providing software as a service. Transformation B: Creating a new growth engine, such as how Amazon became the world’s largest provider of cloud computing services. Capabilities link: Fighting unfairly by taking advantage of difficult-to-replicate assets without succumbing to the “sucking sound of the core.” Anthony, Gilbert, and Johnson also address the characteristics leaders must embrace: courage, clarity, curiosity, and conviction. Without them, dual transformation efforts can founder. Building on lessons from diverse companies, such as Adobe, Manila Water, and Netflix, and a case study from Gilbert’s firsthand experience transforming his own media and publishing company, Dual Transformation will guide executives through the journey of creating the next version of themselves, allowing them to own the future rather than be disrupted by it.