Through discourse analysis and historical comparison of "Pernicious Vestiges" (Yí Dú/�毒) narrative in the news text of People’s Daily, this book is devoted to revealing its primary metaphors and political functions in China. "Pernicious Vestiges" (Yí Dú/�毒) is one of the most frequently used words in contemporary Chinese historical narration, as well as a constantly changing rhetorical direction in new China's media discourse, whose function is to remold memory. Over the past 76 years, the "Pernicious Vestiges" narrative continuously constructed by People’s Daily, the official newspaper of the CPC Central Committee, reflects the views of China’s political elite and represents the ruling party's evaluation and re-evaluation of historical events. The findings of this book challenge the myth that memory is naturally superior to forgetting, reflect on the ethics of memory in "Pernicious Vestiges" narratives and the erasure of their own justice, and suggest that the critical space compressed by "Pernicious Vestiges" narratives should be returned to restore the order of memory and historical reflection. This book will be an excellent read for students and scholars of Chinese studies, media studies, and those who are interested in political communication and collective memory in general.

The Chinese artist Liu Ye's meticulous, colorful canvases convey his love of literature in the first publication dedicated to his paintings of books. The Beijing-based artist Liu Ye is known for his precise, deftly rendered representational paintings. Drawn equally from contemporary culture and old master painting, Liu's wide-ranging visual touchstones include Piet Mondrian, Miffy the Bunny, and Prada advertisements. In this new publication devoted to his book paintings, the artist examines the book as both a physical object and cultural totem. Playing with geometry and perspective, Liu creates extraordinary and disorienting portraits of this most familiar subject. Liu's Book Painting series, begun in 2013, depicts close-up views of books that are turned open to reveal empty pages, an approach that emphasizes the object's form over its content. Rendering books' material structure-endpapers, binding, spine-in sensual detail, these paintings indicate an obsession with the book as an object and a lifelong love of literature. Liu's father was a children's book author who introduced him to Western writers at a young age, fueling his curiosity and imagination. Many of the books in Liu's father's collection were banned in Cultural Revolution-era China and the artist read them secretly throughout his childhood. This formative experience figures in his popular Banned Books series and in his book paintings in general. Published on the occasion of a solo exhibition presented at David Zwirner, New York, in 2020, this catalogue includes new writing by the acclaimed poet Zhu Zhu, who traces the evolution of the book form in Liu's work, as well as an interview with the artist by Hans Ulrich Obrist.

This two-volume set of LNCS 13598 and 13599 constitutes the refereed proceedings of the 17th International Symposium on Visual Computing, ISVC 2022, which was held in October 2022. The 61 papers presented in these volumes were carefully reviewed and selected from 110 submissions. They are organized in the following topical sections: Part I: deep learning I; visualization; object detection and recognition; deep learning II; video analysis and event recognition; computer graphics; ST: biomedical imaging techniques for cancer detection, diagnosis and management. Part II: ST: neuro-inspired artificia intelligence; applications; segmentation and tracking; virtual reality; poster.

This two-volume set of LNCS 13598 and 13599 constitutes the refereed proceedings of the 17th International Symposium on Visual Computing, ISVC 2022, which was held in October 2022. The 61 papers presented in these volumes were carefully reviewed and selected from 110 submissions. They are organized in the following topical sections: Part I: deep learning I; visualization; object detection and recognition; deep learning II; video analysis and event recognition; computer graphics; ST: biomedical imaging techniques for cancer detection, diagnosis and management. Part II: ST: neuro-inspired artificia intelligence; applications; segmentation and tracking; virtual reality; poster.