This book introduces the research process and principles of the controlled super-coupling nuclear fusion experiment at the Experimental Advanced Superconducting Tokamak (EAST) nuclear fusion reactor in Hefei, China. It uses straightforward language to explain how nuclear fusion can provide safe, environmentally friendly, clean, and inexhaustible energy in future. EAST is the world's first fully superconducting, non-circular cross-section tokamak nuclear fusion experimental device, independently developed by the Chinese Academy of Sciences. This book helps demonstrate China's cutting-edge scientific and technological advances to the rest of the world, helps spread the scientific spirit to people around the globe, and promotes prosperity and development. The book is intended for all non-experts who would like to learn more about nuclear energy and related technologies.

Mostindustrialbiotechnologicalprocessesareoperatedempirically.Oneofthe major di?culties of applying advanced control theories is the highly nonlinear nature of the processes. This book examines approaches based on arti?cial intelligencemethods, inparticular, geneticalgorithmsandneuralnetworks, for monitoring, modelling and optimization of fed-batch fermentation processes. The main aim of a process control is to maximize the ?nal product with minimum development and production costs. This book is interdisciplinary in nature, combining topics from biotechn- ogy, arti?cial intelligence, system identi?cation, process monitoring, process modelling and optimal control. Both simulation and experimental validation are performed in this study to demonstrate the suitability and feasibility of proposed methodologies. An online biomass sensor is constructed using a - current neural network for predicting the biomass concentration online with only three measurements (dissolved oxygen, volume and feed rate). Results show that the proposed sensor is comparable or even superior to other sensors proposed in the literature that use more than three measurements. Biote- nological processes are modelled by cascading two recurrent neural networks. It is found that neural models are able to describe the processes with high accuracy. Optimization of the ?nal product is achieved using modi?ed genetic algorithms to determine optimal feed rate pro?les. Experimental results of the corresponding production yields demonstrate that genetic algorithms are powerful tools for optimization of highly nonlinear systems. Moreover, a c- bination of recurrentneural networks and genetic algorithms provides a useful and cost-e?ective methodology for optimizing biotechnological process

This book covers the latest developments and advances in spray drying and describes how they impact the basic aspect of designing and operating spray dryers. This generic approach allows users to understand how different basic aspects of spray drying have advanced. Users will learn how to apply these advances in their own specific spray drying applications. This book also discusses the handling and control of spray dried products. Includes the latest techniques for use in the design and operation of spray drying operations Covers the basic operations of spray drying that can be applied to different applications of spray drying Discusses the handling and control of spray dried product qualities from a general approach, allowing readers to tailor these approaches to their own specific products This book is aimed at professionals, researchers, and academics working in the fields of food, chemical, pharmaceutical, and industrial engineering.

This book covers the latest developments and advances in spray drying and describes how they impact the basic aspect of designing and operating spray dryers. This generic approach allows users to understand how different basic aspects of spray drying have advanced. Users will learn how to apply these advances in their own specific spray drying applications. This book also discusses the handling and control of spray dried products. Includes the latest techniques for use in the design and operation of spray drying operations Covers the basic operations of spray drying that can be applied to different applications of spray drying Discusses the handling and control of spray dried product qualities from a general approach, allowing readers to tailor these approaches to their own specific products This book is aimed at professionals, researchers, and academics working in the fields of food, chemical, pharmaceutical, and industrial engineering.

Ultrawideband (UWB) technology, positioned as the cutting edge of research and development, paves the way to meet the emerging demands set by broadband wireless applications, such as high-speed data transmission, medical imaging, short-range radars, electromagnetic testing, etc. This breathtaking resource builds upon the basics of UWB technology to provide a complete compilation of figures of merit along with a vital state-of-the-art of the different antenna alternatives that are to be employed according to the specific application. Without excessive recourse to mathematics, this volume emphasizes on the UWB antenna design and equips readers with practical prediction techniques based on simple formulas and models. The big picture of UWB antenna technology would not be complete without addressing its applications, and this will serve to provide consultants with key clues for market gap analysis. Containing over 150 supporting illustrations and figures, this comprehensive overview of UWB technology, antenna design and applications is a vital source of information and reference for R&D organizations, researchers, practitioners, consultants, RF professionals and communication engineers.

A Roadmap to Non-hematopoietic Stem Cell-Based Therapeutics: From the Bench to the Clinic is a resource that provides an overview of the principles of stem cell therapy, the promises and challenges of using stem cells for treating various clinical conditions, and future perspectives. The overall goal is to facilitate the translation of basic research on stem cells to clinical applications. The properties of stem cells from various sources are reviewed and the advantages and disadvantages of each for clinical use are discussed. Modifying stem cell properties through preconditioning strategies using physical, chemical, genetic, and molecular manipulation to improve cell survival, increase cell differentiation potential, enhance production of paracrine factors, and facilitate homing to the site of injury or disease upon transplantation are reviewed. Various routes of stem cell administration and dosing, and the duration of effects, are explored. Individual chapters are written by experts in the field and focus on the use of stem cells in treating various degenerative diseases, autoimmune diseases, wound healing, cardiovascular disease, spinal cord injury, oral and dental diseases, and skeletal disorders. Finally, experts in the regulatory arena discuss mechanisms used in different countries for approving the use of stem cells to treat diseases and many common issues that are typically encountered while seeking approval for this class of therapeutic agent.

Mostindustrialbiotechnologicalprocessesareoperatedempirically.Oneofthe major di?culties of applying advanced control theories is the highly nonlinear nature of the processes. This book examines approaches based on arti?cial intelligencemethods, inparticular, geneticalgorithmsandneuralnetworks, for monitoring, modelling and optimization of fed-batch fermentation processes. The main aim of a process control is to maximize the ?nal product with minimum development and production costs. This book is interdisciplinary in nature, combining topics from biotechn- ogy, arti?cial intelligence, system identi?cation, process monitoring, process modelling and optimal control. Both simulation and experimental validation are performed in this study to demonstrate the suitability and feasibility of proposed methodologies. An online biomass sensor is constructed using a - current neural network for predicting the biomass concentration online with only three measurements (dissolved oxygen, volume and feed rate). Results show that the proposed sensor is comparable or even superior to other sensors proposed in the literature that use more than three measurements. Biote- nological processes are modelled by cascading two recurrent neural networks. It is found that neural models are able to describe the processes with high accuracy. Optimization of the ?nal product is achieved using modi?ed genetic algorithms to determine optimal feed rate pro?les. Experimental results of the corresponding production yields demonstrate that genetic algorithms are powerful tools for optimization of highly nonlinear systems. Moreover, a c- bination of recurrentneural networks and genetic algorithms provides a useful and cost-e?ective methodology for optimizing biotechnological process

Understanding the complex relationships between humans and the natural world is essential for achieving environmental sustainability and improving human well-being, yet many studies are unable to reveal complex interactions and hidden trends. This is the first book to synthesize the findings and approaches of long-term integrated research in a model coupled human and natural system, and to illustrate their applications to regional, national, and global scales. It features a classic long-term interdisciplinary research project in the Wolong Nature Reserve of China, which contains one of the largest wild populations of the world-famous endangered giant pandas. Bringing together a team of contributors from both the natural and social sciences, this book explores how a long-term interdisciplinary and model system approach is essential to uncover the common patterns and mechanisms of coupled systems, to develop ideas and methods for studying and managing other coupled systems, and ultimately to contribute to the development of theories about coupled systems for sustainability. Pandas and People will be essential reading for scholars interested in the interface of the natural and social sciences, including ecologists, conservation biologists, environmental scientists, sustainability scientists, wildlife biologists, forest scientists, sociologists, anthropologists, economists, and political scientists. It will also be a valuable reference for policy makers, natural resource managers, and graduate students.

This book introduces the research process and principles of the controlled super-coupling nuclear fusion experiment at the Experimental Advanced Superconducting Tokamak (EAST) nuclear fusion reactor in Hefei, China. It uses straightforward language to explain how nuclear fusion can provide safe, environmentally friendly, clean, and inexhaustible energy in future. EAST is the world's first fully superconducting, non-circular cross-section tokamak nuclear fusion experimental device, independently developed by the Chinese Academy of Sciences. This book helps demonstrate China's cutting-edge scientific and technological advances to the rest of the world, helps spread the scientific spirit to people around the globe, and promotes prosperity and development. The book is intended for all non-experts who would like to learn more about nuclear energy and related technologies.

This comprehensive summary of the state of the art and the ideas behind the reaction engineering approach (REA) to drying processes is an ideal resource for researchers, academics and industry practitioners. Starting with the formulation, modelling and applications of the lumped-REA, it goes on to detail the use of the REA to describe local evaporation and condensation, and its coupling with equations of conservation of heat and mass transfer, called the spatial-REA, to model non-equilibrium multiphase drying. Finally, it summarises other established drying models, discussing their features, limitations and comparisons with the REA. Application examples featured throughout help fine-tune the models and implement them for process design and the evaluation of existing drying processes and product quality during drying. Further uses of the principles of REA are demonstrated, including computational fluid dynamics-based modelling, and further expanded to model other simultaneous heat and mass transfer processes.

Understanding the complex relationships between humans and the natural world is essential for achieving environmental sustainability and improving human well-being, yet many studies are unable to reveal complex interactions and hidden trends. This is the first book to synthesize the findings and approaches of long-term integrated research in a model coupled human and natural system, and to illustrate their applications to regional, national, and global scales. It features a classic long-term interdisciplinary research project in the Wolong Nature Reserve of China, which contains one of the largest wild populations of the world-famous endangered giant pandas. Bringing together a team of contributors from both the natural and social sciences, this book explores how a long-term interdisciplinary and model system approach is essential to uncover the common patterns and mechanisms of coupled systems, to develop ideas and methods for studying and managing other coupled systems, and ultimately to contribute to the development of theories about coupled systems for sustainability. Pandas and People will be essential reading for scholars interested in the interface of the natural and social sciences, including ecologists, conservation biologists, environmental scientists, sustainability scientists, wildlife biologists, forest scientists, sociologists, anthropologists, economists, and political scientists. It will also be a valuable reference for policy makers, natural resource managers, and graduate students.