Deaf or hard-of-hearing individuals usually face a greater challenge to learn to write than their normal-hearing counterparts. Due to the limitations of traditional research methods focusing on microscopic linguistic features, a holistic characterization of the writing linguistic features of these language users is lacking. This study attempts to fill this gap by adopting the methodology of linguistic complex networks. Two syntactic dependency networks are built in order to compare the macroscopic linguistic features of deaf or hard-of-hearing students and those of their normal-hearing peers. One is transformed from a treebank of writing produced by Chinese deaf or hard-of-hearing students, and the other from a treebank of writing produced by their Chinese normal-hearing counterparts. Two major findings are obtained through comparison of the statistical features of the two networks. On the one hand, both linguistic networks display small-world and scale-free network structures, but the network of the normal-hearing students' exhibits a more power-law-like degree distribution. Relevant network measures show significant differences between the two linguistic networks. On the other hand, deaf or hard-of-hearing students tend to have a lower language proficiency level in both syntactic and lexical aspects. The rigid use of function words and a lower vocabulary richness of the deaf or hard-of-hearing students may partially account for the observed differences.

Gastrin plays important role in stimulating the initiation and development of many gastrointestinal diseases through interacting with the cholecystokinin 2 receptor (CCK2R). The smallest bioactive unit of gastrin activating CCK2R is the C-terminal tetrapeptide capped with an indispensable amide end. Understanding the mechanism of this smallest bioactive unit interacting with CCK2R on a molecular basis could provide significant insights for designing CCK2R antagonists, which can be used to treat gastrin-related diseases. To this end, we performed extensive Gaussian accelerated molecular dynamics simulations to investigate the interaction between gastrin C-terminal pentapeptide capped with/without amide end and CCK2R. The amide cap influences the binding modes of the pentapeptide with CCK2R by weakening the electrostatic attractions between the C-terminus of the pentapeptide and basic residues near the extracellular domain in CCK2R. The C-terminus with the amide cap penetrates into the transmembrane domain of CCK2R while floating at the extracellular domain without the amide cap. Different binding modes induced different conformational dynamics of CCK2R. Residue pairs in CCK2R had stronger correlated motions when binding with the amidated pentapeptide. Key residues and interactions important for CCK2R binding with the amidated pentagastrin were also identified. Our results provide molecular insights into the determinants of the bioactive unit of gastrin activating CCK2R, which would be of great help for the design of CCK2R antagonists.

AbstractAs human language is a multi-level complex adaptive system, a text can be seen as emergent from the complex interactions between internal and external factors. Text types such as microblog have size restriction, an external variable which may affect relevant quantitative properties of the texts themselves. Such texts provide a good opportunity to investigate the interactions between the external and internal factors of human language from the perspective of complex adaptive system. This study focuses on how the size restriction of Chinese microblog texts affects the length of their sentences and clauses. Quantitative properties concerning sentence and clause length of Chinese microblog texts are analyzed and compared with those of texts with no size restriction (i.e., prose, news report and romantic fiction). Analysis of sentence length distribution shows that size restriction has an impact on sentence length measured by numbers of words and clauses. The correlation between sentence length and clause length is examined with Menzerath-Altmann law. The satisfying fitting result of microblog texts probably suggests that, language units are able to re-organize and re-regulate their structures according to relevant external factors, until they reach a balanced new system.

The Chinese script simplification movement originated from the debates about Chinese script (hànzì) in the late 19th and early 20th centuries. This movement was once the dominant part of language planning and language policy in China. The article describes the three major stages of Chinese script reform in the 20th century briefly, using Cooper’s ‘accounting scheme’ and its eight components as its organizing framework. In the case of Chinese script reform, two of the stages of the script reform movement — the first and third — failed, while the second was successful. In order to explain both the two failures and the success, this article focuses on themotivesof the stages of the script reform movement. The discussions about the motives behind Chinese script reform in the literature generally focus on the contribution which the simplifiedhànzìhas made to the improvement of China’s education; this article seeks to interpret the motives of the three stages of the script reform movement, rather, along the lines of the7imodel proposed by Ager. It concludes that there have been different motives present during different stages of the script reform movement, which in turn have had a powerful impact of the success or failure of particular reform efforts. Finally, it is suggested that the predominant trend in Chinese language planning and policy has now turned from script simplification to standardization.