Superstring theory is a promising theory which can potentially unify all the forces and the matters in particle physics. A new multi-dimensional object which is called "D-brane" was found. It drastically changed our perspective of a unified world. We may live on membrane-like hypersurfaces in higher dimensions ("braneworld scenario"), or we can create blackholes at particle accelarators, or the dynamics of quarks is shown to be equivalent to the higher dimensional gravity theory. All these scenarios are explained in this book with plain words but with little use of equations and with many figures. The book starts with a summary of long-standing problems in elementary particle physics and explains the D-branes and many applications of them. It ends with future roads for a unified ultimate theory of our world.
This brief describes the current critical situation of global warming and shows its solution by renewable energy use. The author has long studied the development of new materials with chemical functions and is renowned as the first advocate of power-to-gas. He established the technology to convert renewable energy to synthesized natural gas, methane by electrolytic hydrogen generation using surplus electricity from renewable energy, and subsequent methanation of carbon dioxide by reaction with hydrogen.In the first part of this brief, data on global warming and energy consumption are shown and analyzed from the author’s keen point of view. The second part introduces the author’s research results on key materials for global carbon dioxide recycling and constructed pilot plants based on them. Finally, an evidence-based solution to maintain sustainable development by using only renewable energy is described as a future prospect.This book is useful not only for researchers and students studying chemical engineering, materials, or energy, but also for general citizens who are interested in the global environment.
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 machine learning structures. Statistical physics given by Hamiltonians defines machine learning by neural networks. Furthermore, solving inverse problems in physics through machine learning and generalization essentially provides progress and even revolutions in physics. For these reasons, in recent years interdisciplinary research in machine learning and physics has been expanding dramatically. This book is written for anyone who wants to learn, understand, and apply the relationship between deep learning/machine learning and physics. All that is needed to read this book are the basic concepts in physics: energy and Hamiltonians. The concepts of statistical mechanics and the bracket notation of quantum mechanics, which are explained in columns, are used to explain deep learning frameworks. We encourage you to explore this new active field of machine learning and physics, with this book as a map of the continent to be explored.
The Historical Dictionary of Japanese Foreign Policy covers its history through a chronology, an introductory essay, appendixes, and an extensive bibliography. The dictionary section has over 400 cross-referenced entries on important personalities, politics, economy, foreign relations, religion, and culture. This book is an excellent resource for students, researchers, and anyone wanting to know more about Japanese Foreign Policy.
A darkly funny comedy by Koji Kumeta ? Zetsubou-sensei has won a trip to a hot spring, but when he finds several of his students there in the bubbling pools, he launches into a tirade about the evils of detoxing. To Zetsubou-sensei, detoxing is a metaphor for sanitizing the world of the very complexities and idiosyncrasies that define it. So put down that bar of soap and pick up volume 5 of Sayonara Zetsubou-sensei. ? Includes special extras after the story!
This is the first book-length study of the Yayoi and Kofun periods of Japan (c.600 BC–AD 700), in which the introduction of rice paddy-field farming from the Korean peninsula ignited the rapid development of social complexity and hierarchy that culminated with the formation of the ancient Japanese state. The author traces the historical trajectory of the Yayoi and Kofun periods by employing cutting-edge sociological, anthropological and archaeological theories and methods. The book reveals a fascinating process through which sophisticated hunter-gatherer communities in an archipelago on the eastern fringe of the Eurasian continent were transformed materially and symbolically into a state.
Cement-based concrete has excellent properties as a construction material, and the raw materials of cement—rocks, and limestone and clay—are bountiful. Yet its production generates high quantities of CO2, making it a potentially unsustainable material. However, there are no alternatives to concrete and steel as basic methods for development of socioeconomic infrastructure at this time. Highlighting sustainability issues in the construction industry, The Sustainable Use of Concrete presents guidelines on how to move toward sustainable concrete construction. The book begins by clarifying the historic background and meaning of sustainability, after which it outlines areas that need to be considered in connection with sustainability in the concrete and construction field. It examines environmental, social and cultural, and economic aspects, then considers an evaluation system of sustainability. The authors include various tools and ISO standards, and then explore technologies for sustainability, with case studies and examples that promote understanding of current technologies. Although the construction sector, in the broadest sense, has come to recognize that infrastructure development over the past two centuries has been unsustainable, it has been slow to adjust. Comprehensive information and relevant practical guidance are very scarce. This book lays out a roadmap for creating a human-friendly and safe environment with low environmental burden.
This book provides a comprehensive overview of the history and current status of policy, research and practices of curriculum, classroom instruction and assessment in Japan. It outlines the mechanism of curriculum organization and the history of the National Courses of Study, and assesses the theories of academic ability model. It also discusses in detail the history of "Lesson Study" – a characteristic teaching practice in Japan which utilizes groups, and reviews the history of educational assessment in Japan. Case studies on the practice of portfolio assessment in the Period for Integrated Study, as well as the practice of performance tasks in subject-based education are illustrated to show various examples of teaching practices. Curriculum, Instruction and Assessment in Japan explores: • Child-centered Curriculum and Discipline-Centered Curriculum • Theories based on Models of Academic Achievement and Competency • Various Methods for Organizing Creative Whole-Class Teaching • Performance Assessment in Subject Teaching A good guideline for those who would like to use the idea of "Lesson Study" in order to improve their own teaching and management practices and a reference to all working in educational improvement, this book will be of interest to educators and policymakers concerned with curriculum practices or those with an interest in the Japanese education system. Chapters 2 and 5 of this book are freely available as downloadable Open Access PDFs at http://www.taylorfrancis.com under a Creative Commons Attribution-Non Commercial-No Derivatives (CC-BY-NC-ND) 4.0 license.
Practical Channel Hydraulics is a technical guide for estimating flood water levels in rivers using the innovative software known as the Conveyance and Afflux Estimation System (CES-AES). The stand alone software is freely available at HR Wallingford’s website www.river-conveyance.net. The conveyance engine has also been embedded within industry standard river modelling software such as InfoWorks RS and Flood Modeller Pro. This 2nd Edition has been greatly expanded through the addition of Chapters 6-8, which now supply the background to the Shiono and Knight Method (SKM), upon which the CES-AES is largely based. With the need to estimate river levels more accurately, computational methods are now frequently embedded in flood risk management procedures, as for example in ISO 18320 (‘Determination of the stage-discharge relationship’), in which both the SKM and CES feature. The CES-AES incorporates five main components: A Roughness Adviser, A Conveyance Generator, an Uncertainty Estimator, a Backwater Module and an Afflux Estimator. The SKM provides an alternative approach, solving the governing equation analytically or numerically using Excel, or with the short FORTRAN program provided. Special attention is paid to calculating the distributions of boundary shear stress distributions in channels of different shape, and to appropriate formulations for resistance and drag forces, including those on trees in floodplains. Worked examples are given for flows in a wide range of channel types (size, shape, cover, sinuosity), ranging from small scale laboratory flumes (Q = 2.0 1s-1) to European rivers (~2,000 m3s-1), and large-scale world rivers (> 23,000 m3s-1), a ~ 107 range in discharge. Sites from rivers in the UK, France, China, New Zealand and Ecuador are considered. Topics are introduced initially at a simplified level, and get progressively more complex in later chapters. This book is intended for post graduate level students and practising engineers or hydrologists engaged in flood risk management, as well as those who may simply just wish to learn more about modelling flows in rivers.
Femtosecond lasers opened up new avenue in materials processing due to its unique features of ultrashort pulse width and extremely high peak intensity. One of the most important features of femtosecond laser processing is that strong absorption can be induced even by materials which are transparent to the femtosecond laser beam due to nonlinear multiphoton absorption. The multiphoton absorption allows us to perform not only surface but also three-dimensionally internal microfabrication of transparent materials such as glass. This capability makes it possible to directly fabricate three-dimensional microfluidics, micromechanics, microelectronics and microoptics embedded in the glass. Further, these microcomponents can be easily integrated in a single glass microchip by the simple procedure using the femtosecond laser. Thus, the femtosecond laser processing provides some advantages over conventional methods such as traditional semiconductor processing or soft lithography for fabrication of microfluidic, optofludic and lab-on-a-chip devices and thereby many researches on this topic are currently being carried out. This book presents a comprehensive review on the state of the art and future prospects of femtosecond laser processing for fabrication of microfluidics and optofludics including principle of femtosecond laser processing, detailed fabrication procedures of each microcomponent and practical applications to biochemical analysis.
Excitation and Inhibition: Synaptic Morphology proposes the S-F hypothesis that emphasizes the relationship between structure and function of synapses. This book begins with an introduction to the notion of inhibition in the physiology of the nervous system and history of "synapse, followed by a discussion on the development of concept and morphological correlates of excitation and inhibition in relation to the S-F hypothesis. The mechanism of synaptic excitation and inhibition, physiological classification of neurons, and release mechanism of transmitters are also elaborated. This text describes the synaptic vesicles as a basis of transmitter, membrane recycle, transmission in the sympathetic ganglion, and transmitter substance. The criticism of S-F hypothesis, which deliberates the skeptical investigations of specialists regarding the simplicity and immaturity of the S-F hypothesis of synaptic morphology are provided at the end. This publication is beneficial to medical students and practitioners aiming to acquire knowledge of the physiology of synapses.
This brief is concerned with the fundamentals of corrosion of metallic materials and electrochemistry for better understanding of corrosion phenomena. Corrosion is related to both the environment and material properties, induced by electrochemical reactions at the interface between metallic materials and the environment as in aqueous and gaseous phases. In order to understand corrosion phenomena, knowledge of electrochemistry is thus required, and to investigate the cause of corrosion damage, appropriate electrochemical experiments must be performed. Corrosion scientists should therefore possess knowledge of both electrochemistry and its related experimental techniques. In this book, corrosion phenomena are introduced from the electrochemical aspect. Electrochemical techniques for the study of corrosion are then described with other techniques that can be combined with electrochemistry. Because this brief is characterized as starting with the fundamentals of corrosion and electrochemistry, it is accessible to undergraduate students as well as to graduate students who are beginning corrosion research.
This brief describes the current critical situation of global warming and shows its solution by renewable energy use. The author has long studied the development of new materials with chemical functions and is renowned as the first advocate of power-to-gas. He established the technology to convert renewable energy to synthesized natural gas, methane by electrolytic hydrogen generation using surplus electricity from renewable energy, and subsequent methanation of carbon dioxide by reaction with hydrogen.In the first part of this brief, data on global warming and energy consumption are shown and analyzed from the author’s keen point of view. The second part introduces the author’s research results on key materials for global carbon dioxide recycling and constructed pilot plants based on them. Finally, an evidence-based solution to maintain sustainable development by using only renewable energy is described as a future prospect.This book is useful not only for researchers and students studying chemical engineering, materials, or energy, but also for general citizens who are interested in the global environment.
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 machine learning structures. Statistical physics given by Hamiltonians defines machine learning by neural networks. Furthermore, solving inverse problems in physics through machine learning and generalization essentially provides progress and even revolutions in physics. For these reasons, in recent years interdisciplinary research in machine learning and physics has been expanding dramatically. This book is written for anyone who wants to learn, understand, and apply the relationship between deep learning/machine learning and physics. All that is needed to read this book are the basic concepts in physics: energy and Hamiltonians. The concepts of statistical mechanics and the bracket notation of quantum mechanics, which are explained in columns, are used to explain deep learning frameworks. We encourage you to explore this new active field of machine learning and physics, with this book as a map of the continent to be explored.
Superstring theory is a promising theory which can potentially unify all the forces and the matters in particle physics. A new multi-dimensional object which is called "D-brane" was found. It drastically changed our perspective of a unified world. We may live on membrane-like hypersurfaces in higher dimensions ("braneworld scenario"), or we can create blackholes at particle accelarators, or the dynamics of quarks is shown to be equivalent to the higher dimensional gravity theory. All these scenarios are explained in this book with plain words but with little use of equations and with many figures. The book starts with a summary of long-standing problems in elementary particle physics and explains the D-branes and many applications of them. It ends with future roads for a unified ultimate theory of our world.
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