Digital and social technologies are changing the education field. Interactive whiteboards and blackboards, e-books, and computer-mediated communication are accelerating the processes of the evolving classroom. These technologies continue to support problem solving, critical thinking, and collaboration skills among students. Transforming K-12 Classrooms with Digital Technology brings together research and practices regarding digital and social technology integration in the K-12 classroom. By sharing practical and conceptual aspects of using digital and social technologies as tools for transforming K-12 learning environments, this reference source is essential for teachers, support staff, school and district administrators, college students, and researchers working teaching and learning in the digital era.

This is an authored volume of Dr. Yao's “big-picture” writings on China and the West, translated by David Ownby. Those writings are selected from his writings as a public intellectual, reflecting his thought on China’s path of modernization and the effort to rebuild a political philosophy based on Confucianism, his interpretation of China’s political system and his prescriptions to improve it. A moderate, yet influential scholar, Yao's work has had great influence on Chinese social and economic policymakers; his project of renewing China's traditional value system is an important position, as Chinese reforms begin to focus on equity and inclusion. In an engaging, at times personal, and thoughtful volume, Dr. Yao's vision of a gentler Chinese society will interest Sinologists, political scientists, and journalists.

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.

This book is a collection of the papers accepted by the ICIVIS 2021-The International Conference on Image, Vision and Intelligent Systems held on June 15-17, 2021, in Changsha, China. The topics focus but are not limited to image, vision and intelligent systems. Each part can be used as an excellent reference by industry practitioners, university faculties, research fellows and undergraduates as well as graduate students who need to build a knowledge base of the most current advances and state-of-practice in the topics covered by this conference proceedings.