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Qing-Li Yang,Ji-Qing Shen,Yan Xue,Xiao-Bing Cheng,Zhi-Hua Jiang,Yi-Chao Yang,Ying-Dan Chen,Xiao-Nong Zhou 대한기생충학열대의학회 2015 The Korean Journal of Parasitology Vol.53 No.6
The nitric oxide (NO) formation and intrinsic nitrosation may be involved in the possible mechanisms of liver fluke-associated carcinogenesis. We still do not know much about the responses of inducible NO synthase (iNOS) induced by Clonorchis sinensis infection. This study was conducted to explore the pathological lesions and iNOS expressions in the liver of mice with different infection intensity levels of C. sinensis. Extensive periductal inflammatory cell infiltration, bile duct hyperplasia, and fibrosis were commonly observed during the infection. The different pathological responses in liver tissues strongly correlated with the infection intensity of C. sinensis. Massive acute spotty necrosis occurred in the liver parenchyma after a severe infection. The iNOS activity in liver tissues increased, and iNOS-expressing cells with morphological differences were observed after a moderate or severe infection. The iNOS-expressing cells in liver tissues had multiple origins.
LSTM Android Malicious Behavior Analysis Based on Feature Weighting
( Qing Yang ),( Xiaoliang Wang ),( Jing Zheng ),( Wenqi Ge ),( Ming Bai ),( Frank Jiang ) 한국인터넷정보학회 2021 KSII Transactions on Internet and Information Syst Vol.15 No.6
With the rapid development of mobile Internet, smart phones have been widely popularized, among which Android platform dominates. Due to it is open source, malware on the Android platform is rampant. In order to improve the efficiency of malware detection, this paper proposes deep learning Android malicious detection system based on behavior features. First of all, the detection system adopts the static analysis method to extract different types of behavior features from Android applications, and extract sensitive behavior features through Term frequency-inverse Document Frequency algorithm for each extracted behavior feature to construct detection features through unified abstract expression. Secondly, Long Short-Term Memory neural network model is established to select and learn from the extracted attributes and the learned attributes are used to detect Android malicious applications, Analysis and further optimization of the application behavior parameters, so as to build a deep learning Android malicious detection method based on feature analysis. We use different types of features to evaluate our method and compare it with various machine learning-based methods. Study shows that it outperforms most existing machine learning based approaches and detects 95.31% of the malware.
Qing-Quan Yang,Jing Li,Xiangchu Feng,Shuiyan Wu,Fei Gao 제어·로봇·시스템학회 2020 International Journal of Control, Automation, and Vol.18 No.6
This paper focuses on asynchronous periodic sampling consensus for leader-following second-order multi-agent systems with event-triggered mechanism for the first time. A distributed control protocol is proposed to improve consistency and to reduce data transmission. We prove that the proposed algorithm is exponentially convergent if the topology contains a directed spanning tree. We acquire the consensus in two situations with the proposed controllers. (i) In the first situation, the positions converge to a nonzero constant and the velocities converge to zero when the velocity of the leader is zero; (ii) In the second situation, the errors of the positions and velocities between the followers and the virtual leader converge to a small region containing 0 when the velocity of the leader is a nonzero constant or time-varying. Finally, a numerical example with three cases is given to illustrate the effectiveness of the proposed asynchronous periodic sampling control method.
Effect of Channel Curvature for Jet Impinging on Blade Leading Edge
Qing-Yang Zhao,Eui Yeop Jung,Seok Min Choi,Hyung Hee Cho 대한기계학회 2013 대한기계학회 춘추학술대회 Vol.2013 No.12
The characteristics of fluid flow and heat transfer affected by the curvature variation in a jet impinged leading edge channel have been investigated numerically using three-dimensional Reynolds-averaged Navier-Stokes analysis via shear stress transport turbulence model and γ - Re<SUB>θ</SUB> transitional turbulence model. A constant heat flux condition has been applied on the leading edge surface. Jet to leading edge surface distance is constant as three times of jet diameter. The leading edge curved surface curvature is set as variables by the reason of multiple shape of real turbine blade. Results presented in this study include contour of Nusselt number, velocity vector and local Nusselt number distribution along the central line on the leading edge surface. Based on the data above, the average Nusselt number, stagnation Nusselt number along the central line of leading edge and average pressure supplied on each jet are compared between each case. The varied leading edge curved surfaces change the cross flow intensity which influences the impinging jet flow direction. As a result of the phenomenon of jet flow direction change, the heat transfer on the leading edge is influenced significantly. Result indicates that with the decrease of leading edge curved surface diameter, the cross flow effect improves and heat transfer uniformity decreases. In the case of small diameter leading edge, the average heat transfer decrease and the Nusselt value decreases along the streamwise direction due to the crossflow from upstream jet flow. Besides the heat transfer uniformity, the thermal performance comparison is also investigated in this study.
Mechanical Effect of Pre-consolidation Pressure of Structural Behavior Soil
( Qing Wang ),( Qing-bo Yu ),( Tian-liang Yang ),( Xin-lei Huang ),( Xue-xin Yan ) 대한지질공학회 2019 대한지질공학회 학술발표회논문집 Vol.2019 No.2
Structural property of soil is a new concept studied in science and study of this issue is a new problem, which involves soil mechanical effect, mechanical variability, and engineering design. Soil such as saline soil, red soil, loess, Xiashu loess, soft soil, or solidified dredger fill, which had been studied in previous research by our research group, has high pre-consolidation pressure (Pc) and high over-consolidation ratio (OCR). Considering the needs of intensity determination in engineering design, soil structure force, structural strength and other issues of structural Soils were studied in this paper. By analyzing experimental data, affecting factors of pre-consolidation pressure (Pc) was discussed. A new cognition about pre-consolidation pressure (Pc), determination method of structural strength, and genetic mechanism of structural force were proposed in this paper. Soil mass structural behavior and the mechanical effect can be one of the important fields of soil structural quantitative research. Acknowledgements This work was financially supported by the Key Project for International (Regional) Cooperation and Communication by National Natural Science Foundation of China (Grant No. 41820104001), State Key Program of the National Natural Science Foundation of China (Grant No. 41430642), the Special Fund for Major Scientific Instruments of the National Natural Science Foundation of China (Grant No. 41627801), and the Key Laboratory of Land Subsidence Monitoring and Prevention, Ministry of Land and Resources (Grant No. KLLSMP201801).
( Qing-bo Yu ),( Qing Wang ),( Xue-xin Yan ),( Tian-liang Yang ),( Meng Yao ),( Kai Zhou ),( Xin-lei Huang ),( Jian-ping Chen ) 대한지질공학회 2019 대한지질공학회 학술발표회논문집 Vol.2019 No.2
The land subsidence poses a nonnegligible threat to production and life, especially in dredger fill area. The essence of land subsidence is soil consolidation. Better evaluation of the degree of soil consolidation presents significant progress for predicting land subsidence. In this study, SBAS-InSAR was conducted to Chenjia town, the typical dredger fill area in Chongming East Shoal, Shanghai. SAR data and precise Orbit data were collected from the ESA satellite Sentinel-1 in recent 2 years with approximately one month intervals. the relationship curve of cumulative subsidence with time is obtained after processing. On this basis, the final settlement and soil consolidation can be estimated by applying the method proposed by Professor Huang Wenxi of China. The results show that: The subsidence rate is faster than 20 mm/a; The estimated final settlement is 26.6-52.9 mm, and the corresponding consolidation degree is 54.6 % on average; Soil mass has not yet been fully consolidated and it still takes a long time to achieve stability. In conclusion, the method proposed in this study can provide a clearer understanding of the consolidation degree, and a new reference for the evaluation and prevention of land subsidence. Future research will focus on longer monitoring time to enrich and improve the method. Acknowledgements This work was financially supported by National Nature Science Foundation of China (Grant No: 41820104001, 41430642 and 41627801) and the Key Laboratory of Land Subsidence Monitoring and Prevention, Ministry of Land and Resources (Grant No. KLLSMP201801).
Qing Zhong Li,Qing Xian Huang,Shu Cui Li,Mei Zi Yang,Bin Rao 대한생리학회-대한약리학회 2012 The Korean Journal of Physiology & Pharmacology Vol.15 No.5
A simple, sensitive and reproducible high-performance liquid chromatography (HPLC) method has been validated for determining concentrations of glutamate, glycine, and alanine in human plasma. Proteins in plasma were precipitated with perchloric acid, followed by derivatization with 6-aminoquinolyl-N-hydroxysuccinimidyl carbamate (AQC). Simultaneous analysis of glutamate, glycine, and alanine is achieved using reversed-phase HPLC conditions and ultraviolet detection. Excellent linearity was observed for these three amino acids over their concentration ranges with correlation coefficients (r)>0.999. The intra- and inter-day precision were below 10%. This method utilizes quality control samples and demonstrates excellent plasma recovery and accuracy. The developed method has been successfully applied to measure plasma glutamate, glycine, and alanine in twenty volunteers.