Lin Xiao – författare

Research on massive stars is undergoing a period of rapid progress, with long-held convictions being shown to be incomplete. While these stars are relatively few in number, they are the main driver of chemical and dynamical evolution in galaxies through their stellar winds and explosive deaths in core-collapse supernovae. Furthermore the impact of massive stars is widely recognized in many areas, as they are often used as tools to interpret the conditions and processes arising in different environments. In parallel, the development of new instrumentation, analysis techniques and dedicated surveys across all possible wavelengths have delivered large amounts of exquisite new data. These data are now providing a harsh test for the current state-of-the-art theoretical calculations of massive star birth, evolution and death. IAU Symposium 329 covers these topics and is therefore an invaluable resource for researchers in the field of massive stars and their evolution.

An authoritative introduction to the science and engineering of bioinspired materialsBioinspired Materials Science and Engineering offers a comprehensive view of the science and engineering of bioinspired materials and includes a discussion of biofabrication approaches and applications of bioinspired materials as they are fed back to nature in the guise of biomaterials. The authors also review some biological compounds and shows how they can be useful in the engineering of bioinspired materials.With contributions from noted experts in the field, this comprehensive resource considers biofabrication, biomacromolecules, and biomaterials. The authors illustrate the bioinspiration process from materials design and conception to application of bioinspired materials. In addition, the text presents the multidisciplinary aspect of the concept, and contains a typical example of how knowledge is acquired from nature, and how in turn this information contributes to biological sciences, with an accent on biomedical applications. This important resource: Offers an introduction to the science and engineering principles for the development of bioinspired materialsIncludes a summary of recent developments on biotemplated formation of inorganic materials using natural templatesIllustrates the fabrication of 3D-tumor invasion models and their potential application in drug assessmentsExplores electroactive hydrogels based on natural polymersContains information on turning mechanical properties of protein hydrogels for biomedical applicationsWritten for chemists, biologists, physicists, and engineers, Bioinspired Materials Science and Engineering contains an indispensible resource for an understanding of bioinspired materials science and engineering.

Zeroing Neural Networks Describes the theoretical and practical aspects of finite-time ZNN methods for solving an array of computational problems Zeroing Neural Networks (ZNN) have become essential tools for solving discretized sensor-driven time-varying matrix problems in engineering, control theory, and on-chip applications for robots. Building on the original ZNN model, finite-time zeroing neural networks (FTZNN) enable efficient, accurate, and predictive real-time computations. Setting up discretized FTZNN algorithms for different time-varying matrix problems requires distinct steps. Zeroing Neural Networks provides in-depth information on the finite-time convergence of ZNN models in solving computational problems. Divided into eight parts, this comprehensive resource covers modeling methods, theoretical analysis, computer simulations, nonlinear activation functions, and more. Each part focuses on a specific type of time-varying computational problem, such as the application of FTZNN to the Lyapunov equation, linear matrix equation, and matrix inversion. Throughout the book, tables explain the performance of different models, while numerous illustrative examples clarify the advantages of each FTZNN method. In addition, the book: Describes how to design, analyze, and apply FTZNN models for solving computational problemsPresents multiple FTZNN models for solving time-varying computational problemsDetails the noise-tolerance of FTZNN models to maximize the adaptability of FTZNN models to complex environmentsIncludes an introduction, problem description, design scheme, theoretical analysis, illustrative verification, application, and summary in every chapterZeroing Neural Networks: Finite-time Convergence Design, Analysis and Applications is an essential resource for scientists, researchers, academic lecturers, and postgraduates in the field, as well as a valuable reference for engineers and other practitioners working in neurocomputing and intelligent control.

Neural networks and neural dynamics are powerful approaches for the online solution of mathematical problems arising in many areas of science, engineering, and business. Compared with conventional gradient neural networks that only deal with static problems of constant coefficient matrices and vectors, the authors’ new method called zeroing dynamics solves time-varying problems. Zeroing Dynamics, Gradient Dynamics, and Newton Iterations is the first book that shows how to accurately and efficiently solve time-varying problems in real-time or online using continuous- or discrete-time zeroing dynamics. The book brings together research in the developing fields of neural networks, neural dynamics, computer mathematics, numerical algorithms, time-varying computation and optimization, simulation and modeling, analog and digital hardware, and fractals.The authors provide a comprehensive treatment of the theory of both static and dynamic neural networks. Readers will discover how novel theoretical results have been successfully applied to many practical problems. The authors develop, analyze, model, simulate, and compare zeroing dynamics models for the online solution of numerous time-varying problems, such as root finding, nonlinear equation solving, matrix inversion, matrix square root finding, quadratic optimization, and inequality solving.

Neural networks and neural dynamics are powerful approaches for the online solution of mathematical problems arising in many areas of science, engineering, and business. Compared with conventional gradient neural networks that only deal with static problems of constant coefficient matrices and vectors, the authors’ new method called zeroing dynamics solves time-varying problems. Zeroing Dynamics, Gradient Dynamics, and Newton Iterations is the first book that shows how to accurately and efficiently solve time-varying problems in real-time or online using continuous- or discrete-time zeroing dynamics. The book brings together research in the developing fields of neural networks, neural dynamics, computer mathematics, numerical algorithms, time-varying computation and optimization, simulation and modeling, analog and digital hardware, and fractals.The authors provide a comprehensive treatment of the theory of both static and dynamic neural networks. Readers will discover how novel theoretical results have been successfully applied to many practical problems. The authors develop, analyze, model, simulate, and compare zeroing dynamics models for the online solution of numerous time-varying problems, such as root finding, nonlinear equation solving, matrix inversion, matrix square root finding, quadratic optimization, and inequality solving.

It reveals the overall SFTZ framework and explains in detail aspects of the financial system, investment management, trade supervision, taxation, offshore trade and finance, government system reform, plus the linkage mechanism of building Shanghai as an international economy, finance, trade and shipping center.

This book investigates the basic theoretical framework and conducts a logical analysis of China’s new supply-side economics, while also providing a strategic path to remedy the plight of China’s economic development. From the perspective of connotation, theory and methods, China’s structural reform differs both from that proposed by the Western supply-side school or supply-side economics, and from that proposed by structural economists. The theoretical basis of supply-side structural reform falls under socialist political economics with Chinese characteristics, and the new supply-side economics represent an important component of socialist political economics with Chinese characteristics.

It reveals the overall SFTZ framework and explains in detail aspects of the financial system, investment management, trade supervision, taxation, offshore trade and finance, government system reform, plus the linkage mechanism of building Shanghai as an international economy, finance, trade and shipping center.