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Social Network Cloud Structure and Discovery Algorithm Based on DHT
Xiaoshu Zhu,Junhong Feng,Jie Zhang 보안공학연구지원센터 2016 International Journal of Grid and Distributed Comp Vol.9 No.7
Social network has become the important platform for the current social individual to exchange information and access various media. Traditional searching and locating method is faced with the characteristics of the high order correlation and implicit correlation for large-scale users, and user-association multidimensional and heterogeneity. In order to effectively deal with large-scale social network data, and improve the efficiency of user’s locating, this article introduces the peer-to-peer distributed searching mechanism with the help of the cloud computing platform. This searching mechanism assigns user a logical identifier, and matches the underlying physical address and the upper users’ logical address, so as to build the cloud logical topology structure of social network. This paper designs a K neighbor discovery algorithm. It is used to cluster the nodes according to the features of the user, so as to realize the quickly locating of social network. The performance of the algorithm is analyzed according to the user’s searching logic path length of social network, and information amount of routing state. The simulation of the algorithm is evaluated by maintenance costs of average network aggregation coverage and query time. The performance analysis and simulation results demonstrate that social network cloud has good performance and searching efficiency.
Xiaoshu Deng,Lu Gan,Yan Liu,Ancai Luo,Liang Jin,Jiao Chen,Ruyu Tang,Lixia Lei,Jianghong Tang,Jiani Zhang,Zhengwu Zhao 한국유전학회 2018 Genes & Genomics Vol.40 No.12
A new cold tolerant germplasm resource named glutinous rice 89-1 (Gr89-1, Oryza sativa L.) can overwinter using axillary buds, with these buds being ratooned the following year. The overwintering seedling rate (OSR) is an important factor for evaluating cold tolerance. Many quantitative trait loci (QTLs) controlling cold tolerance at different growth stages in rice have been identified, with some of these QTLs being successfully cloned. However, no QTLs conferring to the OSR trait have been located in the perennial O. sativa L. To identify QTLs associated with OSR and to evaluate cold tolerance. 286 F12 recombinant inbred lines (RILs) derived from a cross between the cold tolerant variety Gr89-1 and cold sensitive variety Shuhui527 (SH527) were used. A total of 198 polymorphic simple sequence repeat (SSR) markers that were distributed uniformly on 12 chromosomes were used to construct the linkage map. The gene ontology (GO) annotation of the major QTL was performed through the rice genome annotation project system. Three main-effect QTLs (qOSR2, qOSR3, and qOSR8) were detected and mapped on chromosomes 2, 3, and 8, respectively. These QTLs were located in the interval of RM14208 (35,160,202 base pairs (bp))–RM208 (35,520,147 bp), RM218 (8,375,236 bp)–RM232 (9,755,778 bp), and RM5891 (24,626,930 bp)–RM23608 (25,355,519 bp), and explained 19.6%, 9.3%, and 11.8% of the phenotypic variations, respectively. The qOSR2 QTL displayed the largest effect, with a logarithm of odds score (LOD) of 5.5. A total of 47 candidate genes on the qOSR2 locus were associated with 219 GO terms. Among these candidate genes, 11 were related to cell membrane, 7 were associated with cold stress, and 3 were involved in response to stress and biotic stimulus. OsPIP1;3 was the only one candidate gene related to stress, biotic stimulus, cold stress, and encoding a cell membrane protein. After QTL mapping, a total of three main-effect QTLs—qOSR2, qOSR3, and qOSR8—were detected on chromosomes 2, 3, and 8, respectively. Among these, qOSR2 explained the highest phenotypic variance. All the QTLs elite traits come from the cold resistance parent Gr89-1. OsPIP1;3 might be a candidate gene of qOSR2.
Research on Household Financial Asset Choices: Status and Outlook
Song Xiaoshu 한중경제문화학회 2023 한중경제문화연구 Vol.24 No.-
The selection of fnancial assets within households has gained increasing prominence in the context of China’s economic development. This paper systematically reviews existing literature, both domestic and international, focusing on family heterogeneity and the infuence of external factors. It critically assesses the advancements made in understanding the determinants of family fnancial asset choices while also acknowledging the limitations in current research. Building upon this comprehensive review, the paper identifes three promising avenues for future exploration. Firstly, there is a need for research delving into the impact of the digital economic environment on family fnancial asset choices. Secondly, understanding how macroeconomic systems shape these decisions is crucial for a holistic perspective. Lastly, examining the heterogeneity among family members and its influence on financial asset choices offers a nuanced understanding of this intricate decision-making process. The insights presented in this paper are invaluable for both academic research and practical applications related to family fnancial asset selection.