Xiaokang Zhou – författare

This book presents a systemic-functional analysis of aspects of transitivity in Mandarin Chinese, focusing on two major types of clause: material clauses and relational clauses. Material clauses represent actions/events in the material world. Relational clauses express relationships between entities in the most general sense; they include as their prototypical members ‘being’ or ‘copula’ clauses. It demonstrates a brief account of the theoretical framework of SFG. The book also provides a detailed description of material clauses, to deal in turn with three major types of relational clause: attributive, locational, and possessive. One of the significant findings of the monograph is that relational clauses encompass a much larger portion of the grammar than is usually believed and include various ‘processes’ such as ‘giving’, ‘renting’, ‘putting’, in addition to ‘being’ (usually classified as material). Hence, the notion of transitivity has been refined.

This two-volume set (CCIS 1879 and 1880) constitutes the refereed proceedings of the 9th International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2023 held in Harbin, China, during September 22–24, 2023.

The 52 full papers and 14 short papers presented in these two volumes were carefully reviewed and selected from 244 submissions. 

The papers are organized in the following topical sections:

Part II: Data-driven Healthcare, Data-driven Smart City/Planet, Social Media and Recommendation Systems and Education using big data, intelligent computing or data mining, etc.

This two-volume set (CCIS 1879 and 1880) constitutes the refereed proceedings of the 9th International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2023 held in Harbin, China, during September 22–24, 2023.

The 52 full papers and 14 short papers presented in these two volumes were carefully reviewed and selected from 244 submissions. 

The papers are organized in the following topical sections:

Part I:  Applications of Data Science, Big Data Management and Applications, Big Data Mining and Knowledge Management, Data Visualization, Data-driven Security, Infrastructure for Data Science, Machine Learning for Data Science and Multimedia Data Management and Analysis.

Part II: Data-driven Healthcare, Data-driven Smart City/Planet, Social Media and Recommendation Systems and Education using big data, intelligent computing or data mining, etc.