Graphs, networks and agent-based modeling are the most thriving and attracting sciences used in ecology and environmental sciences. As such, this book is the first comprehensive treatment of the subject in the areas of ecology and environmental sciences. From this integrated and self-contained book, researchers, university teachers and students will be provided with an in-depth and complete insight on knowledge, methodology and recent advances of graphs, networks and agent-based-modeling in ecology and environmental sciences. Java codes and a standalone software package will be presented in the book for easy use for those not familiar with mathematical details.
This invaluable book is the first of its kind on 'selforganizology', the science of self-organization. It covers a wide range of topics, such as the theory, principle and methodology of selforganizology, agent-based modelling, intelligence basis, ant colony optimization, fish/particle swarm optimization, cellular automata, spatial diffusion models, evolutionary algorithms, self-adaptation and control systems, self-organizing neural networks, catastrophe theory and methods, and self-organization of biological communities, etc.Readers will have an in-depth and comprehensive understanding of selforganizology, with detailed background information provided for those who wish to delve deeper into the subject and explore research literature.This book is a valuable reference for research scientists, university teachers, graduate students and high-level undergraduates in the areas of computational science, artificial intelligence, applied mathematics, engineering science, social science and life sciences.
As the first comprehensive title on network biology, this book covers a wide range of subjects including scientific fundamentals (graphs, networks, etc) of network biology, construction and analysis of biological networks, methods for identifying crucial nodes in biological networks, link prediction, flow analysis, network dynamics, evolution, simulation and control, ecological networks, social networks, molecular and cellular networks, network pharmacology and network toxicology, big data analytics, and more.Across 12 parts and 26 chapters, with Matlab codes provided for most models and algorithms, this self-contained title provides an in-depth and complete insight on network biology. It is a valuable read for high-level undergraduates and postgraduates in the areas of biology, ecology, environmental sciences, medical science, computational science, applied mathematics, and social science.
This book introduces emergency management of barrier lakes systematically, including theories and practices, risk assessment under extremely high-risk conditions, evolution of outburst floods, analysis of anti-impact stability, and emergency management technology and assessment of risk elimination effect. It takes the Tangjiashan barrier lake as a successful case study to illustrate effective treatment of barrier lake with high risks, poor environmental conditions, extremely urgent rescue time and high disposal difficulties. It retains a large number of images and data of great research value for the lake risk assessment and building technological emergency system. It provides a reliable reference for the government, scientific researchers and survey and design team to deal with the sudden natural disaster in barrier lakes, especially caused by huge earthquake.
A combination of oxidation methods and C‒H bond functionalization, this book emphasizes mechanistic understanding and critical analysis of synthetic reactions to offer a guide or manual for practicing chemists. • Combines oxidation methods and C‒H bond functionalization, two of the most important aspects of organic synthesis • Deals with C‒H bonds, an area of dynamic and continuous research across chemistry and catalysis • Helps readers understand the fundamental and applied differences among various oxidation methods and reactions • Covers mechanistic details, conditions, oxidation reagents, and practical aspects of different reactions
This book presents a detailed background to the circular economy in China, explores government measures to promote it in China’s market economy, and introduces the supporting laws and policies. The book goes on to describe, from a technology perspective, successful circular economy practices in sectors such as agriculture, iron and steel, cement, coal-fired power, chemistry, paper manufacturing and city mineral. This book sheds some light on what China has done and achieved to change the mode of economic development in order to minimize its negative impacts on resources and the environment. Readers will learn from and be inspired by China’s circular economy practices. Industrializing countries can also draw on China’s experiences to solve their own problems, enabling them to make their economic development resource-saving and more environmentally friendly. If this is achieved, this book can be considered a modest contribution to the sustainability of human society.
This book focuses on engineering design approaches for spacecraft antennas. Based on their functions in spacecraft, it discusses practical antenna design, measurement and testing. Most of the antennas covered originated at the China Academy of Space Technology (CAST), which has launched almost 300 satellites into orbit. The book presents antenna systems for seven existing spacecraft designs, while also introducing readers to new antenna technologies for spacecraft. This book is intended for researchers, graduate students, and engineers in various fields of aerospace technology and astronautics, especially spacecraft design, communication engineering and related areas.
This invaluable book is the first of its kind on 'selforganizology', the science of self-organization. It covers a wide range of topics, such as the theory, principle and methodology of selforganizology, agent-based modelling, intelligence basis, ant colony optimization, fish/particle swarm optimization, cellular automata, spatial diffusion models, evolutionary algorithms, self-adaptation and control systems, self-organizing neural networks, catastrophe theory and methods, and self-organization of biological communities, etc.Readers will have an in-depth and comprehensive understanding of selforganizology, with detailed background information provided for those who wish to delve deeper into the subject and explore research literature.This book is a valuable reference for research scientists, university teachers, graduate students and high-level undergraduates in the areas of computational science, artificial intelligence, applied mathematics, engineering science, social science and life sciences.
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