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Abstracts
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Corporate Governance in Japan
Debates regarding corporate governance have become increasingly important in Japan as the post-war model of bank-based, stakeholder-oriented corporate governance faces the new pressures associated with globalization and growing investor demands for shareholder value. Bringing together a group of leading scholars from economics, law, sociology and management studies, this book looks at how the Japanese approach to corporate governance and the firm have changed in the post-bubble era. The contributions offer a unique empirical exploration of why and how Japanese firms are reshaping their corporate governance arrangements, leading to greater diversity among firms and new 'hybrid' forms of corporate governance. The book concludes by looking at what effect these incremental but transformative changes may have on Japan's distinctive variety of capitalism.
The Nature of Human Creativity
Brings together the research programs and findings of the twenty-four psychological scientists most cited in major textbooks on creativity.
Quark-Gluon Plasma
Quark-Gluon Plasma introduces the primordial matter, composed of two types of elementary particles, created at the time of the Big Bang. During the evolution of the universe, Quark-Gluon Plasma (QGP) undergoes a transition to hadronic matter governed by quantum chromodynamics, the law of strong interactions. After an introduction to gauge theories, various aspects of quantum chromodynamic phase transitions are illustrated in a self-contained manner. The cosmological approach and renormalization group are discussed, as well as the cosmological and astrophysical implications of QGP, on the basis of Einstein's equations. Recent developments towards the formation of QGP in ultrarelativistic heavy ion collisions are also presented in detail. This text is suitable as an introduction for graduate students, as well as providing a valuable reference for researchers already working in this and related fields. It includes eight appendices and over a hundred exercises.
The Political Economy of the Japanese Financial Big Bang
This book emphasizes change over continuity in Japanese policymaking. It argues that Japan's Big Bang financial reforms emerged out of a policymaking process that deviated radically from past patterns. Performance failures, scandals and fluidity in party politics led the Ministry of Finance to promote reforms that otherwise would have been opposed.
Gutai
Published in conjunction with the first United States museum retrospective ever devoted to Gutai, exhibited at the Solomon R. Guggenheim Museum in New York, Gutai: Splendid Playground surveys the influential collective and artistic movement. This exhibition catalogue aims to demonstrate the range of bold and innovative creativity present in the avant-garde movement, to examine the aesthetic strategies in the cultural, social, and political context of postwar Japan and the West, and to further establish Gutai in an expanded, transnational history and critical discourse of modern art. Organized thematically and chronologically to explore Gutai's unique approach to materials, process and perfor...
Annual Report
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Electrifying Art
A ground-breaking monograph, recognizing for the first time the noted Japanese post-World War II conceptual avant-garde artist, Atsuko Tanaka. The only female member of the Japanese Gutai Group, Tanaka forged a unique relationship between painting and performance that is only now seen to be far ahead of her time. Thoroughly documented are the artist's drawings, paintings and "leftover objects" from her past performances.
Deep Learning and Physics
What is deep learning for those who study physics? Is it completely different from physics? Or is it similar? In recent years, machine learning, including deep learning, has begun to be used in various physics studies. Why is that? Is knowing physics useful in machine learning? Conversely, is knowing machine learning useful in physics? This book is devoted to answers of these questions. Starting with basic ideas of physics, neural networks are derived naturally. And you can learn the concepts of deep learning through the words of physics. In fact, the foundation of machine learning can be attributed to physical concepts. Hamiltonians that determine physical systems characterize various machi...
