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Emperor Huizong and Late Northern Song China
Huizong was an exceptional emperor who lived through momentous times. A man of many talents, he wrote poetry and created his own distinctive calligraphy style; collected paintings, calligraphies, and antiquities on a large scale; promoted Daoism; and involved himself in the training of court artists, the layout of gardens, and reforms of music and medicine. The quarter century when Huizong ruled is just as fascinating. The greatly enlarged scholar-official class had come into its own but was deeply divided by factional strife. The long struggle between the Chinese state and its northern neighbors entered a new phase when Song proved unable to defend itself against the newly emergent Jurchen state of Jin. Huizong and thousands of members of his family and court were taken captive, and the Song dynasty had to recreate itself in the South.
Emperor Huizong
China was the most advanced country in the world when Huizong ascended the throne in 1100 CE. Artistically gifted, he guided the Song Dynasty toward cultural greatness but is known to posterity as a political failure who lost the throne to Jurchen invaders and died their prisoner. In this comprehensive biography, Patricia Ebrey corrects the prevailing view of Huizong as decadent and negligent, recasting him as a ruler ambitious in pursuing glory for his flourishing realm. After a rocky start trying to overcome political animosities at court, Huizong turned his attention to the good he could do. He greatly expanded the court's charitable ventures, founding schools, hospitals, orphanages, and ...
Accumulating Culture
This is an illustrated examination of a collection of Chinese calligraphy, paintings, bronzes, and many other objects amassed by the Song dynasty emperor Huizong (1082-1135). It contributes to a rethinking of the cultural side of Chinese imperial rule and of the court as a patron of scholars and the arts.
Returning Boats on a Snowy River
- Part of a series of 10 paintings from the last five dynasties of ancient China - presented in the traditional format of a handscroll The series of Collection of Ancient Calligraphy and Painting Handscrolls: Paintings has a large time span, rich themes and diverse styles. It selects 10 paintings from the last five dynasties of ancient China (Tang, Song, Yuan, Ming and Qing Dynasties), including vivid portraits, exquisite landscape paintings, and meticulous paintings of flowers and birds. The artworks are presented in the traditional format of a handscroll which can be extended indefinitely, so that the postscripts and observations of later generations can be directly followed by the end of the works.
Renaissance in China
After the death of the Emperor of the Hou Zhou dynasty in 959 A D, the Song Dynasty emerged with General Zhao Kuang-yin as emperor. This book explores the intellectual, artistic and technical innovations during that time in which painting, literature, and philosophy reached new heights.
Dayside Magnetosphere Interactions
Exploring the processes and phenomena of Earth's dayside magnetosphere Energy and momentum transfer, initially taking place at the dayside magnetopause, is responsible for a variety of phenomenon that we can measure on the ground. Data obtained from observations of Earth’s dayside magnetosphere increases our knowledge of the processes by which solar wind mass, momentum, and energy enter the magnetosphere. Dayside Magnetosphere Interactions outlines the physics and processes of dayside magnetospheric phenomena, the role of solar wind in generating ultra-low frequency waves, and solar wind-magnetosphere-ionosphere coupling. Volume highlights include: Phenomena across different temporal and s...
Health Information Processing. Evaluation Track Papers
This book constitutes the papers presented at the Evaluation Track of the 8th China Conference on Health Information Processing, CHIP 2022, held in Hangzhou, China during October 21–23, 2022. The 20 full papers included in this book were carefully reviewed and selected from 20 submissions. They were organized in topical sections as follows: text mining for gene-disease association semantic; medical causal entity and relation extraction; medical decision tree extraction from unstructured text; OCR of electronic medical document; clinical diagnostic coding.
