74 research outputs found

    Trajectory Recovery From Ash

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    Human mobility data has been ubiquitously collected through cellular networks and mobile applications, and publicly released for academic research and commercial purposes for the last decade. Since releasing individual's mobility records usually gives rise to privacy issues, datasets owners tend to only publish aggregated mobility data, such as the number of users covered by a cellular tower at a specific timestamp, which is believed to be sufficient for preserving users' privacy. However, in this paper, we argue and prove that even publishing aggregated mobility data could lead to privacy breach in individuals' trajectories. We develop an attack system that is able to exploit the uniqueness and regularity of human mobility to recover individual's trajectories from the aggregated mobility data without any prior knowledge. By conducting experiments on two real-world datasets collected from both mobile application and cellular network, we reveal that the attack system is able to recover users' trajectories with accuracy about 73%~91% at the scale of tens of thousands to hundreds of thousands users, which indicates severe privacy leakage in such datasets. Through the investigation on aggregated mobility data, our work recognizes a novel privacy problem in publishing statistic data, which appeals for immediate attentions from both academy and industry

    Variants from "The role of deleterious substitutions in crop genomes"

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    There are two gzipped VCF (variant call format) files with variant calls for barley and soybean. A total of 652,797 SNPs were identified in the barley lines, which consisted of 13 cultivars and 2 wild accessions. For soybean, 7 cultivars and 1 wild accession were used, and 586,102 SNPs were called. Whether a variant is deleterious or not was determined using SIFT (http://sift.jcvi.org/), PolyPhen2 (http://genetics.bwh.harvard.edu/pph2/), and a likelihood ratio test of sequence conservation. Raw reads are available through the SRA accession numbers in Table S1 of Kono et al. 2016. The code used for this research, BAD_Mutations, is open source and freely available at https://github.com/MorrellLAB/BAD_Mutations.SNP calls in protein coding regions were obtained from 15 barley and 8 soybean lines. Non synonymous SNPs were predicted to be deleterious or not using three approaches.USDA NIFA National Needs Fellowship (Appropriation No. 5430-21000-006-00D)MnDrive 2014 Food Security FellowshipMinnesota Agricultural Experiment Station Variety Development fundUnited Soybean BoardU.S. NSF Plant Genome Program (BDI-1339393)Kono, Thomas J Y; Fu, Fengli; Mohammadi, Mohsen; Hoffman, Paul J; Liu, Chaochih; Stupar, Robert M; Smith, Kevin P; Tiffin, Peter; Fay, Justin C; Morrell, Peter L. (2016). Variants from "The role of deleterious substitutions in crop genomes". Retrieved from the University Digital Conservancy, http://doi.org/10.13020/D65C7D

    Computational approaches to understand interactions between zinc finger proteins and DNA

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    This dissertation seeks to improve C2H2 zinc finger protein (ZFP) engineering through computational and experimental studies. Engineered ZFPs that are able to bind any desired DNA sequence in a genome have great potential for basic biological research and biomedical applications. Current methods to engineer ZFPs are either unreliable, due to high failure rates, or inaccessible to some researchers, due to high demands of labor, time and expertise. We created a web-accessible database that organizes zinc finger modules (ZFMs) and ZFPs from our lab, our collaborators' labs and the literature. This database helps researchers by providing information about the existence of ZFMs or ZFPs and their performance in DNA binding. We then described rules that govern the interaction of ZFPs and DNA by analyzing the finger sequences in the ZFM pools created by Oligomerized Pool ENgineering (OPEN), a recently developed, reliable, rapid and publicly available ZFP engineering method. These rules will be valuable in the improvement of the OPEN method and the understanding of the interaction between engineered ZFPs and DNA</p

    A novel imidazopyridine derivative, X22, attenuates sepsis-induced lung and liver injury by inhibiting the inflammatory response in vitro and in vivo

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    Xiangting Ge,1,2,* Zhiguo Feng,1,* Tingting Xu,2 Beibei Wu,3 Hongjin Chen,1 Fengli Xu,3 Lili Fu,1 Xiaoou Shan,3 Yuanrong Dai,2 Yali Zhang,1 Guang Liang11Chemical Biology Research Center, School of Pharmaceutical Sciences, 2Department of Pulmonary Medicine, The 2nd Affiliated Hospital, 3Department of Pediatrics, The 2nd Affiliated Hospital, Wenzhou Medical University, Wenzhou, People&rsquo;s Republic of China*These authors contributed equally to this workAbstract: Sepsis remains a leading cause of death worldwide. Despite years of extensive research, effective drugs to treat sepsis in the clinic are lacking. In this study, we found a novel imidazopyridine derivative, X22, which has powerful anti-inflammatory activity. X22 dose-dependently inhibited lipopolysaccharide (LPS)-induced proinflammatory cytokine production in mouse primary peritoneal macrophages and RAW 264.7 macrophages. X22 also downregulated the LPS-induced proinflammatory gene expression in vitro. In vivo, X22 exhibited a significant protection against LPS-induced death. Pretreatment or treatment with X22 attenuated the sepsis-induced lung and liver injury by inhibiting the inflammatory response. In addition, X22 showed protection against LPS-induced acute lung injury. We additionally found that pretreatment with X22 reduced the inflammatory pain in the acetic acid and formalin models and reduced the dimethylbenzene-induced ear swelling and acetic acid-increased vascular permeability. Together, these data confirmed that X22 has multiple anti-inflammatory effects and may be a potential therapeutic option in the treatment of inflammatory diseases.Keywords: LPS, imidazopyridine derivative, sepsis, acute lung injury, inflammatio

    DYNAMIC RESPONSES OF TRANSMISSION TOWER-LINE SYSTEM UNDER ICE SHEDDING

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    Ice shedding from conductors may easily induce electrical and mechanical accidents, which cause a serious threat to the safe operation of transmission lines. In this paper, a 3D finite element model of tower-conductor-ground wire-insulator system was established in ANSYS, and the dynamic responses of ice shedding under different cases were analyzed for a transmission tower-line system. The computed jumping heights are in excellent agreement with the experimental values of a two span conductors model. Many variables were considered in the ice-shedding simulations that include tower-line coupled effect, phase combination of the ice-shedding conductors, thickness of the accreted ice, length of the ice-shedding span as well as elevation difference. Influences of all the variables on the dynamic responses of jumping heights, loads at the end of insulators and the forces of transmission tower were studied. Ice-shedding simulations of an actual 500 kV transmission line section which experience failure under ice shedding in 2008 were performed. The results show that stress ratios of members at the tower head under design ice thickness exceed the limiting values when the amount of shedding ice is large. For ice shedding at the top phase conductors, the jumping height and unbalanced tension at the end of insulator can be reduced by applying interphase spacers in triangular arrangement. The tower is in a safe state under the load of the design ice thickness. In order to prevent ice-shedding accidents, interphase spacers should be used, and the weak members at the tower head should be strengthened according to the calculated load values at the end of insulators. </jats:p
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