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A Pattern-based Query Strategy in Wireless Sensor Network
( Yanhong Ding ),( Tie Qiu ),( Weifeng Sun ),( He Jiang ) 한국인터넷정보학회 2012 KSII Transactions on Internet and Information Syst Vol.6 No.6
Pattern-based query processing has not attracted much attention in wireless sensor network though its counterpart has been studied extensively in data stream. The methods used for data stream usually consume large memory and much energy. This conflicts with the fact that wireless sensor networks are heavily constrained by their hardware resources. In this paper, we use piece wise representation to represent sensor nodes` collected data to save sensor nodes` memory and to reduce the energy consumption for query. After getting data stream`s and patterns` approximated line segments, we record each line`s slope. We do similar matching on slope sequences. We compute the dynamic time warping distance between slope sequences. If the distance is less than user defined threshold, we say that the subsequence is similar to the pattern. We do experiments on STM32W108 processor to evaluate our strategy`s performance compared with naive method. The results show that our strategy`s matching precision is less than that of naive method, but our method`s energy consumption is much better than that of naive approach. The strategy proposed in this paper can be used in wireless sensor network to process pattern-based queries.
Zheng, Chun-Long,Qiu, Chen,Shen, Mei-Xiao,Qu, Xiao,Zhang, Tie-Hong,Zhang, Ji-Hong,Du, Jia-Jun Asian Pacific Journal of Cancer Prevention 2015 Asian Pacific journal of cancer prevention Vol.16 No.5
Background: The vascular endothelial growth factor family has been implicated in tumorigenesis and metastasis. The prognostic value of each vascular endothelial growth factor family member, particular VEGF/VEGFR co-expression, in patients with non-small lung cancer remains controversial. Materials and Methods: Relevant literature was identified by searching PubMed, EMBASE and Web of Science. Studies evaluating expression of VEGFs and/or VEGFRs by immunohistochemistry or ELISA in lung cancer tissue were eligible for inclusion. Hazard ratios (HRs) and 95% confidence intervals (CIs) from individual study were pooled by using a fixed- or random-effect model, heterogeneity and publication bias analyses were also performed. Results: 74 studies covering 7,631 patients were included in the meta-analysis. Regarding pro-angiogenesis factors, the expression of VEGFA (HR=1.633, 95%CI: 1.490-1.791) and VEGFR1 (HR=1.924, 95%CI: 1.220-3.034) was associated separately with poor survival. Especially, VEGFA over-expression was an independent prognostic factor in adenocarcinoma (ADC) (HR=1.775, 95%CI: 1.384-2.275) and SCC (HR=2.919, 95%CI: 2.060-4.137). Co-expression of VEGFA/VEGFR2 (HR=2.011, 95%CI: 1.405-2.876) was also significantly associated with worse survival. For lymphangiogenesis factors, the expression of VEGFC (HR=1.611, 95%CI: 1.407-1.844) predicted a poor prognosis. Co-expression of VEGFC/VEGFR3 (HR=2.436, 95%CI: 1.468-4.043) emerged as a preferable prognostic marker. Conclusions: The expression of VEGFA (particularly in SCC and early stage NSCLC), VEGFC, VEGFR1 indicates separately an unfavorable prognosis in patients with NSCLC. Co-expression VEGFA/VEGFR2 is comparable with VEGFC/VEGFR3, both featuring sufficient discrimination value as preferable as prognostic biologic markers.
Timosaponin B-Ⅱ Inhibits Pro-inflammatory Cytokine Induction by Lipopolysaccharide in BV2 Cells
Wen-Quan Lu,Wan-Sheng Chen,Yan Qiu,Tie-Jun Li,Xia Tao,Lian-Na Sun 대한약학회 2009 Archives of Pharmacal Research Vol.32 No.9
It was reported that the total polysaccharides extracts from Anemarrhenae asphodeloides Bge(Liliaceae, rhizome) could inhibit inflammatory responses in various models. In the present study, the effects of Timosaponin B-II, a purified extract from A. asphodeloidesb, on the expressions of IL-1β, TNF-α and IL-6, the activity of NF-κB and the activation of signal pathway related to NF-κB were explored in vitro. Timosaponin B-Ⅱ significantly attenuated increase of these cytokines on both mRNA and protein levels from LPS-stimulated BV2 cells in a dose-dependent manner. The reporter gene assay also showed that the activation of NF-κB induced by LPS was inhibited by pre-treatment with Timosaponin B-Ⅱ. Moreover, western blot results showed that the activation of p38, JNK and P65 had been decreased. These results suggest that both NF-κB signal pathway and MAPK pathway were involved in the inhibitory effects of Timosaponin B-II on the expression of pro-inflammatory cytokines.