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Xiaonan Li,Dave C. F. Chan,Rob Law Smart Tourism Research Center 2023 Journal of smart tourism Vol.3 No.3
This study examines the scientific publications on website evaluation in hospitality and tourism from 2010 to 2023 through a systematic review and discusses implications for future research. The reviewed literature from publication years, journals, research methods, website-related stakeholders, context, various forms of Internet presence (Internet forms), and theories are analyzed to create a comprehensive website evaluation dimension. Furthermore, a conceptual framework is developed to show the relationship between the website characteristics, stakeholders-channels interaction, and stakeholders' reactions. The proposed website evaluation framework in hospitality and tourism synthesizes the existing knowledge, identifies gaps, and further advances our understanding of this research area.
Xiaonan Li,Wenxing Pang,Su Ryun Choi,Yong Pyo Lim 한국육종학회 2014 한국육종학회 심포지엄 Vol.2014 No.07
We investigated the genetic diversity and structure of the 239 fixed lines with 47 simple sequence repeat (SSR) and 109 NGS-generated SNP markers evenly distributed in B. rapa genome. Phylogenetic analysis classified the vegetable fixed lines to four subgroups, with the three types forming a separate and relatively farther cluster. Population structure analysis identified four sub-populations corresponding to geographic origin and morphological traits, and revealed extensive admixture. The vegetable B. rapa fixed lines successfully developed in our study would be valuable materials for multinational B. rapa diversity resources establishment. Understanding the genetic diversity and population structure could be useful for utilization of the representing genetic variation and further genetic and genomic analysis.
Li, Xiaonan,Ramchiary, Nirala,Dhandapani, Vignesh,Choi, Su Ryun,Hur, Yoonkang,Nou, Ill-Sup,Yoon, Moo Kyoung,Lim, Yong Pyo Oxford University Press 2013 DNA research Vol.20 No.1
<P><I>Brassica rapa</I> is an important crop species that produces vegetables, oilseed, and fodder. Although many studies reported quantitative trait loci (QTL) mapping, the genes governing most of its economically important traits are still unknown. In this study, we report QTL mapping for morphological and yield component traits in <I>B. rapa</I> and comparative map alignment between <I>B. rapa</I>, <I>B. napus</I>, <I>B. juncea</I>, and <I>Arabidopsis thaliana</I> to identify candidate genes and conserved QTL blocks between them. A total of 95 QTL were identified in different crucifer blocks of the <I>B. rapa</I> genome. Through synteny analysis with <I>A. thaliana</I>, <I>B. rapa</I> candidate genes and intronic and exonic single nucleotide polymorphisms in the parental lines were detected from whole genome resequenced data, a few of which were validated by mapping them to the QTL regions. Semi-quantitative reverse transcriptase PCR analysis showed differences in the expression levels of a few genes in parental lines. Comparative mapping identified five key major evolutionarily conserved crucifer blocks (R, J, F, E, and W) harbouring QTL for morphological and yield components traits between the A, B, and C subgenomes of <I>B. rapa</I>, <I>B. juncea</I>, and <I>B. napus</I>. The information of the identified candidate genes could be used for breeding <I>B. rapa</I> and other related <I>Brassica</I> species.</P>
Cross-architecture Binary Function Similarity Detection based on Composite Feature Model
( Xiaonan Li ),( Guimin Zhang ),( Qingbao Li ),( Ping Zhang ),( Zhifeng Chen ),( Jinjin Liu ),( Shudan Yue ) 한국인터넷정보학회 2023 KSII Transactions on Internet and Information Syst Vol.17 No.8
Recent studies have shown that the neural network-based binary code similarity detection technology performs well in vulnerability mining, plagiarism detection, and malicious code analysis. However, existing cross-architecture methods still suffer from insufficient feature characterization and low discrimination accuracy. To address these issues, this paper proposes a cross-architecture binary function similarity detection method based on composite feature model (SDCFM). Firstly, the binary function is converted into vector representation according to the proposed composite feature model, which is composed of instruction statistical features, control flow graph structural features, and application program interface calling behavioral features. Then, the composite features are embedded by the proposed hierarchical embedding network based on a graph neural network. In which, the block-level features and the function-level features are processed separately and finally fused into the embedding. In addition, to make the trained model more accurate and stable, our method utilizes the embeddings of predecessor nodes to modify the node embedding in the iterative updating process of the graph neural network. To assess the effectiveness of composite feature model, we contrast SDCFM with the state of art method on benchmark datasets. The experimental results show that SDCFM has good performance both on the area under the curve in the binary function similarity detection task and the vulnerable candidate function ranking in vulnerability search task.
Xiaonan Fang,Lin-Bai Ye,Yijuan Zhang,Baozong Li,Shanshan Li,Lingbao Kong,Yuhua Wang,Hong Zheng,Wei Wang,Zhenghui Wu 한국미생물학회 2006 The journal of microbiology Vol.44 No.5
GST pull-down assays were used to characterize the SARS-CoV membrane (M) and nucleocapsid (N)interaction, and it was found that the amino acids 211-254 of N protein were essential for this interaction. When tetrad glutamines (Q) were replaced with glutamic acids (E) at positions of 240-243 of the N protein, the interaction was disrupted.
Xiang Li,Zhaoling Li,Xiaonan Dang,Dan Luan,Feng Wang 한국섬유공학회 2018 Fibers and polymers Vol.19 No.3
In this work, plasticized spinning PAN fibers were treated at low carbonization temperature for the first time. The properties of treated fibers were characterized by elemental analysis (EA), scanning electron microscopy (SEM) and Fourier transform infrared spectroscopy (FTIR) respectively. The SEM results show that cross section of the pre-carbonized fibers is circular with no apparent skin-core structure. During the pre-carbonization process (320-380 oC), fracture mode of the fibers gradually changes from ductile to brittle and fibril diameter gradually decreases. Pre-carbonization temperature at 350 oC significantly accelerates chemical reactions. The FTIR results show that a stable oxygen structure is generated as treated at 320 oC.
Fang, Xiaonan,Ye, Lin-Bai,Zhang, Yijuan,Li, Baozong,Li, Shanshan,Kong, Lingbao,Wang, Yuhua,Zheng, Hong,Wang, Wei,Wu, Zhenghui The Microbiological Society of Korea 2006 The journal of microbiology Vol.44 No.5
GST pull-down assays were used to characterize the SARS-CoV membrane (M) and nucleocapsid (N) interaction, and it was found that the amino acids 211-254 of N protein were essential for this interaction. When tetrad glutamines (Q) were replaced with glutamic acids (E) at positions of 240-243 of the N protein, the interaction was disrupted.