Chen Liu

Fei Gao

Hao Bai

Dusan Majstorovic

Real-Time Simulation Technology for Modern Power Electronics provides an invaluable foundation and state-of-the-art review on the most advanced implementations of real-time simulation as it appears poised to revolutionize the modeling of power electronics. The book opens with a discussion of power electronics device physic modeling, component modeling, and power converter modeling before addressing numerical methods to solve converter model, emphasizing speed and accuracy. It discusses both CPU-based and FPGA-based real-time implementations and provides an extensive review of current applications, including hardware-in-the-loop and its case studies in the micro-grid and electric vehicle applications. The book closes with a review of the near and long-term outlooks for the evolving technology. Collectively, the work provides a systematic resource for students, researchers, and engineers in the electrical engineering and other closely related fields. Introduces the theoretical building blocks of real-time power electronic simulation through advanced modern implementations Includes modern case studies and implementations across diverse applications, including electric vehicle component testing and microgrid controller testing Discusses FPGA-based real-time simulation techniques complete with illustrative examples, comparisons with CPU-based simulation, computational performance and co-simulation architectures

Real-Time Simulation Technology for Modern Power Electronics

Junjie Xiao

Pietro Enea Lazzerini

Maurizio Acampa

Pier Leopoldo Capecchi

Insights in General Cardiovascular Medicine: 2021

Michael Lazarus

 Laurent Gautron

 Makoto Fukuda

Alexander C Jackson

Neuroanatomists increasingly rely on techniques enabling them to manipulate genes in defined brain cell populations. In particular, engineered transgenes, which encode a variety of fluorescent reporter proteins can be inserted into the genome or delivered into desired brain regions using viral vectors, thereby allowing the labeling of molecularly-defined populations of neurons and/or glial cells. Transgenic technology can also be used to selectively delete genes in targeted neuronal populations or bi-directionally modulate their electrical excitability using optogenetic or chemogenetic techniques. One of the primary advantages of using transgenic reagents is to simplify the identification and tracing of targeted population of brain cells, which can be laborious using traditional techniques in neuroanatomy. In this research topic, we assembled up-to-date reviews and original articles that demonstrate the versatility and power of transgenic tools in advancing our knowledge of the nervous system, with a special emphasis on the application of transgenic technology to neuroanatomical questions.

Neuroanatomy and transgenic technologies

This book explores the emergent relationship between food and family in contemporary China through an empirical case study of Guangzhou, a typical city, to understand the texture of everyday life in the new consumerist society. The primary focus of this book is on the family dynamics of middle-income households in Guangzhou, where everyday food practices, including growing food, shopping, storing, cooking, feeding, and eating, play a pivotal role. The book aims to conduct a comprehensive and integrated analysis of themes such as material and emotional domestic cultures, family relationships, and social connections between the domestic and the public, based on a discussion of family food practices. These topics will not only offer academic readers a full understanding of the most innovative recent critical engagements with urban Chinese families but also provide more general readers with a broader view of food consumption patterns within the scope of domestic and family issues. This book will be of interest to sociologists, anthropologists, and human geographers as well as post graduate students who are interested in food studies and Chinese studies.

Food Practices and Family Lives in Urban China

Chen Liu

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