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In the last 40 years, the microstrip antenna has been developed for many communication systems such as radars, sensors, wireless, satellite, broadcasting, ultra-wideband, radio frequency identifications (RFIDs), reader devices etc. The progress in modern wireless communication systems has dramatically increased the demand for microstrip antennas. In this book some recent advances in microstrip antennas are presented.
The COVID-19 crisis has a severe impact on education and employment and exposed the many social inequities that make some populations more vulnerable to shocks. Despite a vast literature on social mobility in advanced economies, little is known about it in African countries, mainly due to data limitations. Using a large harmonized dataset of more than 72 million individuals, we fill this gap and examine socioeconomic status mobility across generations, measured by educational and occupational attainment. We uncover the substantial geographical variations in the degree of upward/downward educational and occupational mobility across and within African countries, and the gender and rural/urban ...
"China threat" has been one of hotly debated topics since the early 1990s, and this book is an effort to test the China threat thesis. The author argues that a test of the China threat thesis requires addressing two fundamental questions: whether China has the capabilities to challenge the international system and whether China has the motivations to do so. This book will offer a systematic study of China's foreign policy motivations by resorting to an image approach. The conclusion as to whether China is a status quo or a revisionist country will be reached by exploring how consideration of national interests and how China's perceptions of key characters of the U.S. affect China's foreign policy orientation. A summary of the dominant Chinese images of the U.S. will also contribute to understanding China's motivations vis-a-vis the U.S.
Japan: Selected Issues
Smart Cities and Artificial Intelligence offers a comprehensive view of how cities are evolving as smart ecosystems through the convergence of technologies incorporating machine learning and neural network capabilities, geospatial intelligence, data analytics and visualization, sensors, and smart connected objects. These recent advances in AI move us closer to developing urban operating systems that simulate human, machine, and environmental patterns from transportation infrastructure to communication networks. Exploring cities as real-time, living, dynamic systems, and providing tools and formats including generative design and living lab models that support cities to become self-regulating...
This book aims to highlight the latest achievements in the use of AI and multimodal artificial intelligence in biomedicine and healthcare. Multimodal AI is a relatively new concept in AI, in which different types of data (e.g. text, image, video, audio, and numerical data) are collected, integrated, and processed through a series of intelligence processing algorithms to improve performance. The edited volume contains selected papers presented at the 2022 Health Intelligence workshop and the associated Data Hackathon/Challenge, co-located with the Thirty-Sixth Association for the Advancement of Artificial Intelligence (AAAI) conference, and presents an overview of the issues, challenges, and potentials in the field, along with new research results. This book provides information for researchers, students, industry professionals, clinicians, and public health agencies interested in the applications of AI and Multimodal AI in public health and medicine.
Recent archaeological finds in China have made possible a reconstruction of the ancient history of Sichauan, the country's most populous province. Excavated artifacts and newly recovered texts can now supplement traditional textual materials. Combing these materials, Sage shows how Sichauan matured from peripheral obscurity to attain central importance in the formation of the Chinese empire during the first millennium B.C.
Based on a survey of about 2,500 US resident adults, we show that people who have experienced serious illness or job loss caused by the COVID-19 pandemic, or who personally know someone who has, favor a temporary progressive levy or structural progressive tax reform to a greater extent than others in the sample, controlling for income, demographic characteristics, and other factors. People who reveal preferences for spending items (more on police, military, border protection; less on education, health, environment) that are associated with communitarian (rather than universalist) moral perspectives generally show weaker support for progressive reforms, but more communitarians change their views as a result of personal experience. The results are consistent with previous findings that economic upheavals can mold individuals’ views on policy matters.