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- 저자 : Shubin Zhao (검색결과 2 건)
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Shubin Zhao,Cheng Xu,Ruizhe Wang 대한기계학회 2020 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.34 No.11
Implementing improved effective knowledge reuse and modular design in the earlier stages of engineering design have been the development trend over several decades. However, knowledge capture in the field either remains heavily human involved or is difficult for forming structured knowledge that can be directly utilized by computers. Moreover, modularization is usually performed when system components are fully understood, which fails to influence the design process in an earlier stage. In this paper, we propose a knowledge representation method to capture the knowledge in the design documents intelligently and organize them in a structured manner. A modularization method using binary matrix factorization is also put forward to optimize the design process. Case studies of the design of electro–hydraulic dram brake and power supply are used to exemplify how modularization can be accomplished by matrix factorization and how knowledge structure is generated with computer support. Finally, several research problems are discussed.
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Kuiling Zu,Jianxia Li,Shubin Dong,Yunyu Zhao,Shenjian Xu,Zhixiang Zhang,Liangcheng Zhao 한국유전학회 2017 Genes & Genomics Vol.39 No.6
As a specialized seed appendage, the aril is a noteworthy and taxonomically important feature of Celastrus orbiculatus; the aril also has important ornamental value and biological functions. To better understand the mechanism of aril development, paraffin sections were used to examine its morphogenesis, and RNA-sequencing (RNA-seq) technology was employed for transcriptional profiling of the developing aril. Our results revealed that the aril of C. orbiculatus was formed by the cells of the exostomal region of the outer integument. By analyzing global changes in the transcriptome, 41,560,806, 42,789,340, and 44,496,748 clean reads from three cDNA libraries were generated and assembled into 87,600 unigenes with N50 of 1328 bp, in which 31,971 (36.49%) were annotated to Nr database. Furthermore, a total of 25,914 (29.79%), 14,394 (16.4%) and 11,957 (13.65%) genes were successfully annotated with hierarchical 48 GO terms, 26 KOGs and 32 KEGG pathways. Totally, 104, 1887 and 1967 differently expressed genes were identified in CO-F2 versus CO-F3, CO-F2 versus CO-YF1 and CO-F3 versus CO-YF1, respectively. GO and KEGG pathway analyses of DEGs involved in cell–cell communication and plant hormone signal transduction contributed to aril development were identified. Furthermore, we found putative key target genes of WRKY, Aux/IAA, ARF and MADS-box family’s transcription factors related to aril development. Real-time qPCR was performed on eight genes randomly selected from important transcription factors to validate the expression profiles obtained by RNA-seq. This work provides a platform for future genetic and functional genomics research on the molecular mechanisms of aril structure, and expands our understanding of the molecular mechanism and evolutionary analysis of aril development in other members of the Celastraceae.
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