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Exploiting User Behavior Changes in Privacy Disclosure by Modified Clustering Technique
Hongchen Wu,Xinjun Wang,Zhaohui Peng,Qingzhong Li 보안공학연구지원센터 2015 International Journal of Security and Its Applicat Vol.9 No.5
The analysis of user behaviors has been an important subject in recommending research recently. This paper proposes a modified clustering technique, showing that users privacy disclosure may change when they are answering the information requests, and we argues that their attitudes, including risk, useful, appropriate, played an important role behind those changes. We presented the new data structure in our dataset that would be loaded to experiment, e.g. personal information requests, users’ answers to those requests, and most importantly, users cluster and attitude for later analysis. Our modified clustering technique would not only locate users privacy disclosure change by comparing the results from learning their past disclosure behaviors and from learning their current disclosures, but also exploit the relationship between the inconsistence in those two results and their attitudes. The data containing users’ answers to a questionnaire with personal information requests was integrated to analyze their disclosure behaviors and attitude with the proposed clustering technique. We indeed find some interesting connections between their privacy disclosure change and attitudes, and the exploration of this paper could benefit to any researchers and online community owners who focusing on user-centered strategies and personal-information-requesting issues.
Effects of surfactant contamination on oxygen mass transfer in fine bubble aeration process
Lu Qi,Hongchen Wang,Xulu Chen,Guo-hua Liu,Haitao Fan,Meidi Li,Tao Luo 한국화학공학회 2013 Korean Journal of Chemical Engineering Vol.30 No.9
The effects of anionic, cationic, and non-ionic surfactants (SDS, SDBS, CTAB and Tween20) on oxygen mass transfer (OMT) in fine bubble aeration systems were investigated. The overall gas-liquid volumetric mass transfer coefficient (KLa), specific interfacial area (a), and liquid-side mass transfer coefficient (KL) parameters were used to assess the influence of the surfactants. At the same concentration, the different surfactants were observed to influence the KLa value as follows: KLa (SDBS)>KLa (SDS)>KLa (tween20)>KLa (CTAB). For all used surfactants, the overall trends showed a significant decrease in the KLa value at low concentrations (0-5mg/L), while the KLa value recovered somewhat at high concentrations (10-20mg/L). The decrease to the KL value was found to be much larger than increase in the a value in the presence of surfactants. Furthermore, a simple model was established that provides an OMT prediction for different surfactants.
( Fei Wu ),( Lin Wang ),( Qiaomei Guo ),( Mingna Zhao ),( Hongchen Gu ),( Hong Xu ),( Jiatao Lou ) 한국미생물 · 생명공학회 2016 Journal of microbiology and biotechnology Vol.26 No.3
IFN-γ release assays (IGRAs) have been developed as viable alternative diagnostic tools for detecting latent tuberculosis infection (LTBI). A customized homogeneous sandwich luminescent oxygen channeling immunoassay (LOCI) was used to quantify IFN-γ levels in IGRAs. Samples were collected from healthy volunteers (n = 40) who were T-Spot-negative and T-Spot-positive patients (n = 32) at rest. Then the amount of IFN-γ in the supernatant of IGRAs was measured by LOCI. The results demonstrated a low background, and high sensitivity, specificity, accuracy, and reproducibility, and a short assay time (only 30 min) with LOCI for IFN-γ. The recovery range was 81.63-102.06%, the coefficients of variation were below 5%, and the limit of detection was 19.0 mIU/ml. Excellent agreement between LOCI IFN-γ and the T-SPOT.TB test was obtained (97.2% agreement, κ = 0.94). The LOCI IFN-γ concentrations were significantly higher in T-Spot-positive patients than in the healthy group (p < 0.001). Moreover, as observed for the comparative LOCI IFN-γ assay, IFN-γ concentrations were related to the numbers of T-SPOT.TB spots. We have established an in vitro blood test for LTBI diagnosis, defined as LOCI IFN-γ. A high level of agreement between the LOCI IFN-γ method and T-SPOT.TB assay was observed in clinical studies that showed the LOCI IFN-γ method could determine LTBI. This study shows acceptable performance characteristics of the LOCI IFN-γ assay to diagnose LTBI.