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Toxic Pollutants in China
The book presents some of the findings of research into China’s water quality criteria for toxic pollutants, including heavy metals, PAHs and emerging pollutant. Water quality criteria (WQC) are the scientific basis for establishing water quality standards (WQSs). For a long time, the study of WQC in China has been neglected, so that almost all of China’s WQSs were developed based on foreign WQC. This book provides valuable information for environmental management and revision of WQSs. It has been written for researchers and graduate students in the field of environmental science and risk assessors for chemical and pollutants etc. Dr. Zhen-guang Yan is an Associate Professor at the Chinese Research Academy of Environmental Sciences. Dr. Zhengtao Liu is a Professor at the Chinese Research Academy of Environmental Sciences.
Water Quality Criteria Green Book of China
The book mainly introduces readers to the development and current status of water quality criteria (WQC) in China and other countries or areas, and proposes a minimum toxicity data requirement (MTDR; i.e., six species from three phyla) as the principle metric for deriving WQC in China. Further, ten model species from 4 different phyla are recommended as domestic test species, and the methodologies for deriving aquatic life criteria, sediment criteria, ecocriteria and nutrient criteria in China are also described in detail. In order to demonstrate the methods, several representative chemical pollutants and aquatic environments are highlighted as examples. The book provides important references for future WQC-related research in China, which will make it of great interest to researchers and graduate students in the fields of environmental science, ecology and aquatic science etc.
Water Quality Criteria Green Book of China
The book mainly introduces readers to the development and current status of water quality criteria (WQC) in China and other countries or areas, and proposes a minimum toxicity data requirement (MTDR; i.e., six species from three phyla) as the principle metric for deriving WQC in China. Further, ten model species from 4 different phyla are recommended as domestic test species, and the methodologies for deriving aquatic life criteria, sediment criteria, ecocriteria and nutrient criteria in China are also described in detail. In order to demonstrate the methods, several representative chemical pollutants and aquatic environments are highlighted as examples. The book provides important references for future WQC-related research in China, which will make it of great interest to researchers and graduate students in the fields of environmental science, ecology and aquatic science etc. Dr. Zhengtao Liu is a Professor at Chinese Research Academy of Environmental Sciences.
Logic and Argumentation
This book constitutes the refereed proceedings of the 4th International Conference on Logic and Argumentation, CLAR 2021, held in Hangzhou, China, in October 2021. The 20 full and 10 short papers presented together with 5 invited papers were carefully reviewed and selected from 58 submissions. The topics of accepted papers cover the focus of the CLAR series, including formal models of argumentation, a variety of logic formalisms, nonmonotonic reasoning, dispute and dialogue systems, formal treatment of preference and support, and well as applications in areas like vaccine information and processing of legal texts.
Natural Language Processing and Chinese Computing
This two-volume set of LNAI 13028 and LNAI 13029 constitutes the refereed proceedings of the 10th CCF Conference on Natural Language Processing and Chinese Computing, NLPCC 2021, held in Qingdao, China, in October 2021. The 66 full papers, 23 poster papers, and 27 workshop papers presented were carefully reviewed and selected from 446 submissions. They are organized in the following areas: Fundamentals of NLP; Machine Translation and Multilinguality; Machine Learning for NLP; Information Extraction and Knowledge Graph; Summarization and Generation; Question Answering; Dialogue Systems; Social Media and Sentiment Analysis; NLP Applications and Text Mining; and Multimodality and Explainability.
Insulin Resistance, Hyperinsulinemia, and Associated Diseases
Insulin resistance and hyperinsulinemia are recognized as risk factors in different diseases that have a considerable impact on human life. In addition, insulin resistance and hyperinsulinemia can be linked to different pathophysiological conditions and can lead to moderate to severe complications. Investigation of the possible signaling mechanisms which link insulin resistance and hyperinsulinemia to these diseases, or their complications will help to reduce or even prevent their development and progression. Moreover, searching for new treatment or prophylactic strategies will provide new options to improve the life quality of the patients.
Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery
This book discusses the recent advances in natural computation, fuzzy systems and knowledge discovery. Presenting selected, peer-reviewed papers from the 15th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD 2019), held in Kunming, China, from 20 to 22 July 2019, it is a useful resource for researchers, including professors and graduate students, as well as R&D staff in industry.
Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery
This book discusses the recent advances in natural computation, fuzzy systems and knowledge discovery. Presenting selected, peer-reviewed papers from the 15th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD 2019), held in Kunming, China, from 20 to 22 July 2019, it is a useful resource for researchers, including professors and graduate students, as well as R&D staff in industry.
Chinese Water Systems
This book describes the huge efforts by the Chinese Government concerning the restoration and future sustainable management of Chinese water systems. It presents the results of a Sino-European joint project concerning the Songhuajiang-Liaohe River Basin (SLRB) in Northeast China conducted by the Chinese Research Academy of Environmental Sciences (CRAES), the Helmholtz Centre for Environmental Research - UFZ, Germany, and the Natural Environment Research Council as represented by the Centre for Ecology and Hydrology (CEH), UK. The book explains in great detail the development of risk assessment and corresponding management methods for (i) controlling water pollution, (ii) assessing river health and ecological restoration options, (iii) characterizing persistent organic pollutants (POPs), and (iv) protecting fragile groundwater resources. It also describes the implemented demonstration sites of SLRB during the project course as well as lessons learnt on efficient project management and the dissemination of knowledge and technologies.
Mechanistic Data Science for STEM Education and Applications
This book introduces Mechanistic Data Science (MDS) as a structured methodology for combining data science tools with mathematical scientific principles (i.e., “mechanistic” principles) to solve intractable problems. Traditional data science methodologies require copious quantities of data to show a reliable pattern, but the amount of required data can be greatly reduced by considering the mathematical science principles. MDS is presented here in six easy-to-follow modules: 1) Multimodal data generation and collection, 2) extraction of mechanistic features, 3) knowledge-driven dimension reduction, 4) reduced order surrogate models, 5) deep learning for regression and classification, and 6) system and design. These data science and mechanistic analysis steps are presented in an intuitive manner that emphasizes practical concepts for solving engineering problems as well as real-life problems. This book is written in a spectral style and is ideal as an entry level textbook for engineering and data science undergraduate and graduate students, practicing scientists and engineers, as well as STEM (Science, Technology, Engineering, Mathematics) high school students and teachers.
