For years, personal and social voices have been the issue of discussion on voice construction in written discourse(e.g., Elbow, 1999;Flowerdew, 2011;Hyland, 2002, 2010 a, 2012 b;Mauranen, 2013;Ramanathan & Atkinso...For years, personal and social voices have been the issue of discussion on voice construction in written discourse(e.g., Elbow, 1999;Flowerdew, 2011;Hyland, 2002, 2010 a, 2012 b;Mauranen, 2013;Ramanathan & Atkinson, 1999;Tardy, 2005). However, there is a lack of an integrated examination of the dimensions which determine voice construction in writing from personal and social perspectives. This article re-examines the issue of voice construction through a critical review of previous literature on identity in written discourse. It is argued that there are five major dimensions for the construction of voice in written discourse. How writers appropriate their voice according to such five dimensions as genre, transition, culture, discipline and audience will be discussed. This paper lends further support to the view that voice in written discourse is both personal and social. As it is known, good writing expresses both personal and social voices. However, based on the dominant dimension(s), voice construction should be adjusted. Sometimes personal voice is boldly expressed;sometimes social voice is;and some other times the boundary between the two is unnoticeable. The study provides an integrated framework as well as pedagogical implications for the teaching of academic writing within L1 and L2 contexts.展开更多
Due to the encephalic tissues are highly irregular, three-dimensional （3D） modeling of brain always leads to compli- cated computing. In this paper, we explore an efficient method for brain surface reconstruction fr...Due to the encephalic tissues are highly irregular, three-dimensional （3D） modeling of brain always leads to compli- cated computing. In this paper, we explore an efficient method for brain surface reconstruction from magnetic reso- nance （MR） images of head, which is helpful to surgery planning and tumor localization. A heuristic algorithm is pro- posed foi＂ surface triangle mesh generation with preserved features, and the diagonal length is regarded as the heuristic information to optimize the shape of triangle. The experimental results show that our approach not only reduces the computational complexity, but also completes 3D visualization with good quality.展开更多
基金supported by the National Social Science Fund of China entitled “A Genre-Based Study of the Dynamic Interdiscursive System in Chinese and English Professional Discourse”(17BYY033)
文摘For years, personal and social voices have been the issue of discussion on voice construction in written discourse(e.g., Elbow, 1999;Flowerdew, 2011;Hyland, 2002, 2010 a, 2012 b;Mauranen, 2013;Ramanathan & Atkinson, 1999;Tardy, 2005). However, there is a lack of an integrated examination of the dimensions which determine voice construction in writing from personal and social perspectives. This article re-examines the issue of voice construction through a critical review of previous literature on identity in written discourse. It is argued that there are five major dimensions for the construction of voice in written discourse. How writers appropriate their voice according to such five dimensions as genre, transition, culture, discipline and audience will be discussed. This paper lends further support to the view that voice in written discourse is both personal and social. As it is known, good writing expresses both personal and social voices. However, based on the dominant dimension(s), voice construction should be adjusted. Sometimes personal voice is boldly expressed;sometimes social voice is;and some other times the boundary between the two is unnoticeable. The study provides an integrated framework as well as pedagogical implications for the teaching of academic writing within L1 and L2 contexts.
基金supported by the National Natural Science Foundation of China(No.61202169)
文摘Due to the encephalic tissues are highly irregular, three-dimensional （3D） modeling of brain always leads to compli- cated computing. In this paper, we explore an efficient method for brain surface reconstruction from magnetic reso- nance （MR） images of head, which is helpful to surgery planning and tumor localization. A heuristic algorithm is pro- posed foi＂ surface triangle mesh generation with preserved features, and the diagonal length is regarded as the heuristic information to optimize the shape of triangle. The experimental results show that our approach not only reduces the computational complexity, but also completes 3D visualization with good quality.
