This book describes the research results and applications of functional zeolite, functional ceramsite, modified montmorillonite and other functional materials in water purification areas. With abundant project experiences, the book is an essential reference for researchers and PhD students in environmental science, material science, environmental chemistry, as well as industrial engineers.
This book describes the research results and applications of functional zeolite, functional ceramsite, modified montmorillonite and other functional materials in water purification areas. With abundant project experiences, the book is an essential reference for researchers and PhD students in environmental science, material science, environmental chemistry, as well as industrial engineers.
Based on Chinese archival documents, interviews, and more than twenty years of research on the subject, Zhihua Shen and Yafeng Xia offer a comprehensive look at the Sino-Soviet alliance between the end of the World War II and 1959, when the alliance was left in disarray as a result of foreign and domestic policies. This book is a reevaluation of the history of this alliance and is the first book published in English to examine it from a Chinese perspective.
Today, the People’s Republic of China is North Korea’s only ally on the world stage, a tightly knit relationship that goes back decades. Both countries portray their partnership as one of “brotherly affection” based on shared political ideals—an alliance “as tight as lips to teeth”—even though relations have deteriorated in recent years due to China’s ascendance and North Korea’s intransigence. In A Misunderstood Friendship, leading diplomatic historians Zhihua Shen and Yafeng Xia draw on previously untapped primary source materials revealing tensions and rivalries to offer a unique account of the China–North Korea relationship. They unravel the twists and turns in high-level diplomacy between China and North Korea from the late 1940s to the death of Mao Zedong in 1976. Through unprecedented access to Chinese government documents, Soviet and Eastern European archives, and in-depth interviews with former Chinese diplomats and North Korean defectors, Shen and Xia reveal that the tensions that currently plague the alliance between the two countries have been present from the very beginning of the relationship. They significantly revise existing narratives of the Korean War, China’s postwar aid to North Korea, Kim Il-sung’s ideological and strategic thinking, North Korea’s relations with the Soviet Union, and the importance of the Sino-U.S. rapprochement, among other issues. A Misunderstood Friendship adds new depth to our understanding of one of the most secretive and significant relationships of the Cold War, with increasing relevance to international affairs today.
Can we know what there is not? This book examines the historical development of the concept of the cognition of nonexistent objects in several major Buddhist philosophical schools. Beginning with a study of the historical development of the concept in Mahasamghika, Darstantika, Yogacara and Sautrantika, it evaluates how successfully they have argued against the extreme view of their main opponent the Sarvastivadins and established their view that one can know what there is not. It also includes thematic studies on the epistemological issues of nonexistence, discussing making sense of empty terms, controversies over negative judgments, and a proper classification of the conceptions of nothing or nonexistence. Taking a comparative approach to these topics, this book considers contemporary Western philosophers such as Husserl, Heidegger, Meinong and Russell alongside representative figures of the Buddhist Pramana School. Based on first-hand study of primary sources in Sanskrit, Chinese and Tibetan, Nonexistent Objects in Buddhist Philosophy makes available the rich discussions and debates on the epistemological issues of nonexistence in Buddhist philosophy to students and researchers in Asian and comparative philosophy.
Climate change mechanisms, impacts, risks, mitigation, adaption, and governance are widely recognized as the biggest, most interconnected problem facing humanity. Big Data Mining for Climate Change addresses one of the fundamental issues facing scientists of climate or the environment: how to manage the vast amount of information available and analyse it. The resulting integrated and interdisciplinary big data mining approaches are emerging, partially with the help of the United Nation’s big data climate challenge, some of which are recommended widely as new approaches for climate change research. Big Data Mining for Climate Change delivers a rich understanding of climate-related big data techniques and highlights how to navigate huge amount of climate data and resources available using big data applications. It guides future directions and will boom big-data-driven researches on modeling, diagnosing and predicting climate change and mitigating related impacts. This book mainly focuses on climate network models, deep learning techniques for climate dynamics, automated feature extraction of climate variability, and sparsification of big climate data. It also includes a revelatory exploration of big-data-driven low-carbon economy and management. Its content provides cutting-edge knowledge for scientists and advanced students studying climate change from various disciplines, including atmospheric, oceanic and environmental sciences; geography, ecology, energy, economics, management, engineering, and public policy. Provides a step-by-step guide for applying big data mining tools to climate and environmental research Presents a comprehensive review of theory and algorithms of big data mining for climate change Includes current research in climate and environmental science as it relates to using big data algorithms
This book offers comprehensive information on the theory, models and algorithms involved in state-of-the-art multivariate time series analysis and highlights several of the latest research advances in climate and environmental science. The main topics addressed include Multivariate Time-Frequency Analysis, Artificial Neural Networks, Stochastic Modeling and Optimization, Spectral Analysis, Global Climate Change, Regional Climate Change, Ecosystem and Carbon Cycle, Paleoclimate, and Strategies for Climate Change Mitigation. The self-contained guide will be of great value to researchers and advanced students from a wide range of disciplines: those from Meteorology, Climatology, Oceanography, the Earth Sciences and Environmental Science will be introduced to various advanced tools for analyzing multivariate data, greatly facilitating their research, while those from Applied Mathematics, Statistics, Physics, and the Computer Sciences will learn how to use these multivariate time series analysis tools to approach climate and environmental topics.
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