Ming Ma – författare

This fully updated volume explores olfactory receptor research as it advances from molecular to system levels. Beginning with chapters on the large ensemble imaging method, the book continues by examining machine learning-related olfaction studies, assays to study odorant receptor activity, olfaction-related behavior techniques, and much more. Written for the highly successful Methods in Molecular Biology series, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step and readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls. Authoritative and up-to-date, Olfactory Receptors: Methods and Protocols, Second Edition serves as an ideal reference for newcomers to the olfaction field as well as for experienced professionals looking to master advanced methods.

This fully updated volume explores olfactory receptor research as it advances from molecular to system levels. Beginning with chapters on the large ensemble imaging method, the book continues by examining machine learning-related olfaction studies, assays to study odorant receptor activity, olfaction-related behavior techniques, and much more. Written for the highly successful Methods in Molecular Biology series, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step and readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls. Authoritative and up-to-date, Olfactory Receptors: Methods and Protocols, Second Edition serves as an ideal reference for newcomers to the olfaction field as well as for experienced professionals looking to master advanced methods.

Global warming and extreme weather events are becoming increasingly severe, and climate risks are particularly prominent. The current unsustainable development model of human society will exacerbate climate change and destroy ecosystems, and the impacts and risks caused by climate change will further threaten the already stressed human economic and natural ecosystems. These risks and impacts are becoming increasingly complex, compound, and consequential, and may interact with each other, further amplifying the resulting losses and damages.Resilience is the ability of a social, economic, and environmental system to deal with catastrophic events, trends, or disturbances, and to maintain its essential functions, positioning, and structure while responding or reorganizing, and to maintain its ability to adapt, learn, and transform. The world urgently needs to take timely and strong actions to promote comprehensive and systematic transformation and adaptation, and to seek a path of climate - resilient development.This book focuses on two major research directions on climate resilience. One is the enhancement of the climate resilience of urban ecosystems. The other is the application of artificial intelligence and big data. The first part starts with urban ecosystems by analyzing the performance and capacity of urban ecosystems under extreme weather and the increasingly severe climate change and providing measures and technical solutions related to urban climate resilience. The second part presents the integration of artificial intelligence into climate resilience and climate change prediction which enables people to better predict the changes in climate and choose better solutions to deal with and solve the problems. The intelligent systems also enable decision makers to better deliver early warning and adaptation functions. The potential readers of this book are engineers, scholars, and Ph.D in the field of environmental engineering and urban planning.

Global warming and extreme weather events are becoming increasingly severe, and climate risks are particularly prominent. The current unsustainable development model of human society will exacerbate climate change and destroy ecosystems, and the impacts and risks caused by climate change will further threaten the already stressed human economic and natural ecosystems. These risks and impacts are becoming increasingly complex, compound, and consequential, and may interact with each other, further amplifying the resulting losses and damages.Resilience is the ability of a social, economic, and environmental system to deal with catastrophic events, trends, or disturbances, and to maintain its essential functions, positioning, and structure while responding or reorganizing, and to maintain its ability to adapt, learn, and transform. The world urgently needs to take timely and strong actions to promote comprehensive and systematic transformation and adaptation, and to seek a path of climate - resilient development.This book focuses on two major research directions on climate resilience. One is the enhancement of the climate resilience of urban ecosystems. The other is the application of artificial intelligence and big data. The first part starts with urban ecosystems by analyzing the performance and capacity of urban ecosystems under extreme weather and the increasingly severe climate change and providing measures and technical solutions related to urban climate resilience. The second part presents the integration of artificial intelligence into climate resilience and climate change prediction which enables people to better predict the changes in climate and choose better solutions to deal with and solve the problems. The intelligent systems also enable decision makers to better deliver early warning and adaptation functions. The potential readers of this book are engineers, scholars, and Ph.D in the field of environmental engineering and urban planning.

This volume includes extended and revised versions of a set of selected papers from the International Conference on Electric and Electronics (EEIC 2011) , held on June 20-22 , 2011, which is jointly organized by Nanchang University, Springer, and IEEE IAS Nanchang Chapter. The objective of EEIC 2011 Volume 4 is to provide a major interdisciplinary forum for the presentation of new approaches from Communication Systems and Information Technology, to foster integration of the latest developments in scientific research. 137 related topic papers were selected into this volume. All the papers were reviewed by 2 program committee members and selected by the volume editor Prof. Ming Ma.  We hope every participant can have a good opportunity to exchange their research ideas and results and to discuss the state of the art in the areas of the Communication Systems and Information Technology.