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Sheau-yueh J. Chao, a librarian on the staff of the Newman Library of Baruch College, has prepared a groundbreaking treatise on the related topics of Chinese-American genealogy and Chinese onomastics. In fact, her new book is the first basic tool in English that traces the origins of Chinese surnames. The Chinese possess one of the oldest genealogical traditions in the world, extending back to the Shang Period (1700-1122 B.C.E.). The author honors this tradition and provides context by including a glossary and a chronology of Chinese history to help readers in finding terms and the dates of imperial time periods referred to in the volume. Also included is a Pinyin to Wade-Giles Conversion Ta...
A beggar, an itinerant monk, leapt to greatness during a tumultuous epoch and went on to found the Ming Dynasty of China (1368--1644). As a destitute peasant with nothing to lose, he started a local rebellion; success built on success. Defeating local warlords, Zhu Yuan Zhang conquered all the southern part of China, then sent his army north and took the rest. By unifying many Chinese lands, he brought peace and prosperity after a long period of tumult. He is honored with the temple name of Ming Taizu, Grand Ancestor of Ming.
This book includes original, peer-reviewed research papers from the 2021 5th Chinese Conference on Swarm Intelligence and Cooperative Control (CCSICC2021), held in Shenzhen, China on January 19-22, 2022. The topics covered include but are not limited to: reviews and discussions of swarm intelligence, basic theories on swarm intelligence, swarm communication and networking, swarm perception, awareness and location, swarm decision and planning, cooperative control, cooperative guidance, swarm simulation and assessment. The papers showcased here share the latest findings on theories, algorithms and applications in swarm intelligence and cooperative control, making the book a valuable asset for researchers, engineers, and university students alike.
The Fifth International Symposium on Recent Advances in Quantitative Remote Sensing was held in Torrent, Spain from 18 to 22 September 2018. It was sponsored and organized by the Global Change Unit (GCU) from the Image Processing Laboratory (IPL), University of Valencia (UVEG), Spain. This Symposium addressed the scientific advances in quantitative remote sensing in connection with real applications. Its main goal was to assess the state of the art of both theory and applications in the analysis of remote sensing data, as well as to provide a forum for researcher in this subject area to exchange views and report their latest results. In this book 89 of the 262 contributions presented in both plenary and poster sessions are arranged according to the scientific topics selected. The papers are ranked in the same order as the final programme.
The COVID-19 outbreak has impacted many areas of our lives, including mental health. Lockdown and physical distancing measures have been one major effective intervention to counter the spread of the virus and reduce the impact of the disease. However, they have negatively impacted mental well-being and behaviors, either triggering the onset of new psychiatric symptoms and diseases or amplifying pre-existing ones. The pandemic and lockdown measures have also been associated with reduced access to treatment and facilities all over the world, further worsening mental health outcomes. The impact on mental health, although universal, varied between nations. Cultural and societal variables, including norms, values, religion, and stigma have played an important role in shaping COVID-19-related mental health symptoms, including anxiety, depression, grief, psychosis, and addiction. These sociocultural factors have also molded how mental health interventions are tailored and provided. Highlighting the intertwining relationship between the pandemic, mental health, and sociocultural factors are essential to managing emerging mental health symptoms adequately.
This book – in conjunction with the volumes LNCS 8588 and LNAI 8589 – constitutes the refereed proceedings of the 10th International Conference on Intelligent Computing, ICIC 2014, held in Taiyuan, China, in August 2014. The 58 papers of this volume were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections such as machine learning; neural networks; image processing; computational systems biology and medical informatics; biomedical informatics theory and methods; advances on bio-inspired computing; protein and gene bioinformatics: analysis, algorithms, applications.