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Twitter Crossfire : Terror Attack Detection via Probabilistic Classifiers
Herman Wandabwa,Liao Zhifang,Korir Sammy 보안공학연구지원센터 2015 International Journal of Database Theory and Appli Vol.8 No.4
The advent of social computing brought with it different social networking platforms. The idea of surfers socializing with people of different backgrounds as well as geographical regions is quite fascinating. In our approach, we delved deeper in disaster discovery whereby we extracted panic related attributes and trained them with real data in three disaster scenarios in different parts of the world. Fine tuning of the final attributes led to accuracies above 91% proving the fact that with proper attribute selection and handling of sparse data balance, it’s possible to detect related disasters as soon as related tweets appear. We believe that we are the first to use probabilistic classifiers approach as well as NLP in specifically human induced terror attacks detection as there is no known system currently that solely caters for these.
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Xicheng Wang,Mizhen Zhao,Weimin Wu,Nicholas Kibet Korir,Yaming Qian,Zhuangwei Wang 한국유전학회 2017 Genes & Genomics Vol.39 No.5
Gibberellin (GA) is widely used to enlarge berries of seedless table grape and raisin varieties. The molecular mechanism underlying the berry-sizing effect of gibberelins is however poorly understood. We used a high-throughput deep sequencing technology to investigate the transcriptome and comparative expression profiles of berries from Vitis vinifera L. ‘Summer Black’ treated with GA3 with the aim of increasing the understanding of molecular mechanisms underlying the species’ expansion growth responses to exogenous GA3 hormone application. A total of 591 differentially expressed genes (DEGs) were detected including genes involved in fruit expansion and growth. There were four expansion genes, three cellulose synthase A catalytic subunit genes, four cellulose synthaselike protein genes and three xyloglucan endotransglucosylase genes. Differential expression of these genes could potentially explain the difference in the growth and sizes of fruits from control (CK) and GA3 treated (+GA) vines. In addition, the expression patterns of 14 DEGs were validated by qRT-PCR, and the outcomes agreed highly with the RNA-Seq results. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analyses were performed to better understand the functions of these DEGs. We also identified a large number of single nucleotide polymorphism and insertion/deletion markers, which will be a rich resource for future marker development and breeding research in grape. The transcriptome analysis provides valuable information for furthering our understanding of the molecular mechanisms that regulate the fruit expansion growth, and adds to the growing foundation for future genetic and functional genomic studies in grape fruit.
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