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Language Gene:A Study to Explore Child Language
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作者 DU Yiran 《Psychology Research》 2022年第5期278-283,共6页
How children learn language is debated fiercely in academia.Behaviourists believe that children learn language through limitation and reinforcement learning while nativists argue that children are born with linguistic... How children learn language is debated fiercely in academia.Behaviourists believe that children learn language through limitation and reinforcement learning while nativists argue that children are born with linguistic knowledge that can help them acquire language.One justification for the unreasonableness of children acquiring language through learning is the complexity of language.Another reason for child language acquisition not finishing through learning is the irrelevance between general intelligence and language competence.It can be argued that children acquire language innately by controlling the“language gene”,which develops through evolution.In ancient times,humans may have nothing different compared to other animals.Nowadays,after the evolution of a long period of time,the“language gene”inside children’s bodies could help them develop language faculties.The viability of this theory is underpinned by the poverty of the stimulus argument,language’s conformity to universal features,the change from pidgin and creole language,and the same sequence of the development of child language acquisition.However,critics claim that this theory cannot solve the problem of second language acquisition of adults and the case of Genie.This could be explained by the lack of“incomprehensible input”and language environment and the degeneration of the language acquisition device.They also argue that the evidence from neuroscience is missing,and it is pseudoscience.The evidence from Wernicke’s area,Broca’s area,and the FOXP2 gene could rebut the counterargument. 展开更多
关键词 child language acquisition language faculty language gene
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New insight into genes in association with asthma: literature-based mining and network centrality analysis 被引量:1
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作者 LIANG Rui WANG Lei WANG Gang 《Chinese Medical Journal》 SCIE CAS CSCD 2013年第13期2472-2479,共8页
Background Asthma is a heterogeneous disease for which a strong genetic basis has been firmly established. Until now no studies have been undertaken to systemically explore the network of asthma-related genes using an... Background Asthma is a heterogeneous disease for which a strong genetic basis has been firmly established. Until now no studies have been undertaken to systemically explore the network of asthma-related genes using an internally developed literature-based discovery approach. This study was to explore asthma-related genes by using literature- based mining and network centrality analysis. Methods Literature involving asthma-related genes were searched in PubMed from 2001 to 2011. Integration of natural language processing with network centrality analysis was used to identify asthma susceptibility genes and their interaction network. Asthma susceptibility genes were classified into three functional groups by gene ontology (GO) analysis and the key genes were confirmed by establishing asthma-related networks and pathways. Results Three hundred and twenty-six genes related with asthma such as IGHE (IgE), interleukin (IL)-4, 5, 6, 10, 13, 17A, and tumor necrosis factor (TNF)-alpha were identified. GO analysis indicated some biological processes (developmental processes, signal transduction, death, etc.), cellular components (non-structural extracellular, plasma membrane and extracellular matrix), and molecular functions (signal transduction activity) that were involved in asthma. Furthermore, 22 asthma-related pathways such as the Toll-like receptor signaling pathway, hematopoietic cell lineage, JAK-STAT signaling pathway, chemokine signaling pathway, and cytokine-cytokine receptor interaction, and 17 hub genes, such as JAK3, CCR1-3, CCR5-7, CCR8, were found. Conclusions Our study provides a remarkably detailed and comprehensive picture of asthma susceptibility genes and their interacting network. Further identification of these genes and molecular pathways may play a prominent role in establishing rational therapeutic approaches for asthma. 展开更多
关键词 asthma susceptible genes natural language processing analysis network centrality analysis
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