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This volume calls for a Narratology of Diversity by investigating narratives of non-normative bodies and minds. It explores mental health representations in literature, including neurodiversity, the body-mind nexus, and embodied non-normativities, therein emphasizing the importance of understanding diverse psychological conditions as represented in narratives. The contributions include perspectives from a wide variety of scholars of European, North American, and comparative literature and culture. While post-classical narratology has evolved through phases of diversification and consolidation, this volume represents innovation in understanding narrative development to embrace new areas of social awareness, including gendered narratologies (specifically feminist and queer narratologies) and post-colonial criticism, paving the way for a more inclusive narratology.
This two volume set (CCIS 1451 and 1452) constitutes the refereed proceedings of the 7th International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2021 held in Taiyuan, China, in September 2021. The 81 papers presented in these two volumes were carefully reviewed and selected from 256 submissions. The papers are organized in topical sections on big data management and applications; social media and recommendation systems; infrastructure for data science; basic theory and techniques for data science; machine learning for data science; multimedia data management and analysis; social media and recommendation systems; data security and privacy; applications of data science; education research, methods and materials for data science and engineering; research demo.
Early diagnosis of cancer is still a major challenge in cancer therapy. In recent years, the development of multifunctional nanomaterials has provided a new diagnosis and treatment platform to combat cancer. Polymer-inorganic nanomaterials with novel structures such as bowl-shaped/Janus/core-shell have drawn much attention owing to their diversity in composition or asymmetry in structure. More importantly, imparting unique optical, electrical, and magnetic properties to these nanocomposites can further extend their function repertoire. However, to fulfill this vision, fundamental understandings regarding strategies of precise synthesis, mechanisms of structure formation, in vivo synergistic ...
This two volume set (CCIS 1058 and 1059) constitutes the refereed proceedings of the 5th International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2019 held in Guilin, China, in September 2019. The 104 revised full papers presented in these two volumes were carefully reviewed and selected from 395 submissions. The papers cover a wide range of topics related to basic theory and techniques for data science including data mining; data base; net work; security; machine learning; bioinformatics; natural language processing; software engineering; graphic images; system; education; application.
FLINS, an acronym originally for Fuzzy Logic and Intelligent Technologies in Nuclear Science, was inaugurated by Prof. Da Ruan of the Belgian Nuclear Research Center (SCK·CEN) in 1994 with the purpose of providing PhD and Postdoc researchers with a platform to present their research ideas in fuzzy logic and artificial intelligence. For more than 28 years, FLINS has been expanded to include research in both theoretical and practical development of computational intelligent systems.With this successful conference series: FLINS1994 and FLINS1996 in Mol, FLINS1998 in Antwerp, FLINS2000 in Bruges, FLINS2002 in Gent, FLINS2004 in Blankenberge, FLINS2006 in Genova, FLINS2008 in Marid, FLINS2010 in...
This two volume set (CCIS 1058 and 1059) constitutes the refereed proceedings of the 5th International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2019 held in Guilin, China, in September 2019. The 104 revised full papers presented in these two volumes were carefully reviewed and selected from 395 submissions. The papers cover a wide range of topics related to basic theory and techniques for data science including data mining; data base; net work; security; machine learning; bioinformatics; natural language processing; software engineering; graphic images; system; education; application.