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PRELIMINARY STUDY ON ATMOSPHERIC INPUT OF NITROGEN TO THE NORTHWEST PACIFIC COASTAL OCEANS
Hui Wang Gao 한국해안해양공학회 1999 학술강연회 발표논문초록집 Vol.1 No.1
A three-dimension regional Eulerian deposition model for nitrogen species has been developed. The important physical processes of emission, transport, diffusion, dry deposition and wet removal by rain, and chemical processes of gas-phase and liquid-phase chemistry are included by dynamics and parameterization. The emissions for this study are obtained from EDGAR (Emission Database for Global Atmospheric Research). The model has been employed for the year 1990 from Jan. 1 to Dec. 31 in the area from 75˚E to 145˚E in longitude and from 16˚N to 59˚N in latitude with the horizontal resolution of 1˚×1˚. The fluxes of atmospheric input of nitrogen to the northwest pacific coastal oceans are shown.
GAO Hui,SONG Qi-chao,Huang Jun 보안공학연구지원센터 2016 International Journal of Grid and Distributed Comp Vol.9 No.7
Due to the normal forecasting methods for subgrade settlement using observation data have different applicabilities, and the predicting results has bigger volatility and lower accuracy. In view of the above problems, a method based on least square support vector regression (LSTSVR) and real-coded quantum evolutionary algorithm (RQEA) is proposed. Firstly, the LSTSVR parameter is chosen as a combinatorial optimization problem, and determining the objective function of the combinatorial optimization problem, then, using RQEA to solve the combinatorial optimization problem and optimize the LSTSVR parameters, Finaly, LSTSVR-RQEA is used to sovle the prediction of subgrade settlement. The simulation results show that RQEA is an effective method to select LSTSVR parameters, and has excellent performance when applied to the prediction of subgrade settlement.
Visualization of Tooth for Non-Destructive Evaluation from CT Images
Hui Gao,Oksam Chae 한국비파괴검사학회 2009 한국비파괴검사학회지 Vol.29 No.3
This paper reports an effort to develop 3D tooth visualization system from CT sequence images as a part of the non-destructive evaluation suitable for the simulation of endodontics, orthodontics and other dental treatments. We focus on the segmentation and visualization for the individual tooth. In dental CT images teeth are touching the adjacent teeth or surrounded by the alveolar bones with similar intensity. We propose an improved level set method with shape prior to separate a tooth from other teeth as well as the alveolar bones. Reconstructed 3D model of individual tooth based on the segmentation results indicates that our technique is a very conducive tool for tooth visualization, evaluation and diagnosis. Some comparative visualization results validate the non-destructive function of our method.
Gao Hui,Huang Jun 보안공학연구지원센터 2015 International Journal of Hybrid Information Techno Vol.8 No.11
Due to the normal forecasting methods for subgrade settlement using observation data have different applicability and disadvantages, The Combined forecasting model is put forward based on support vector machine (SVM) and real-coded quantum evolutionary algorithm (RQEA) in this paper. Its core is that, according to the basic settlement law of subgrade and characteristics of settlement curve, the growth curve which has S-type characteristic are chosen as single forecasting model, then support vector machine is used to combine the predicting results of each single forecasting model, at the same time, RQEA is adopted to optimize support vector machine parameter to improve the SVM’s performance. The analytical result of engineering practice indicates that the proposed combined forecasting model of subgrade settlement base on SVM and RQEA can not only improve the predicting accuracy, but also reduce the predicting risk, and can meet engineering demand.
Biological characterization of mesenchymal stem cells from bovine umbilical cord
Hui Xiong,Wei Jun Guan,Yue Hui Ma,Chunyu Bai,Shuang Wu,Yuhua Gao,Taofeng Lu,Qingyun Hu 한국통합생물학회 2014 Animal cells and systems Vol.18 No.1
Mesenchymal stem cells (MSCs) are multi-potential cells that are able to proliferate and differentiate into othercell types. Much research has been done on the MSCs from the umbilical cord (UCMSCs) in human, mice, andavian, but little literature has been published about these cells in big livestock. Here, we choose Luxi cattle asthe experimental animal, we describe an external culture of the UCMSCs from it and summarize the biologicalcharacteristics of these cells, e.g., morphologic appearance, surface antigens, colony-forming ability, geneexpression, and differentiation potential were detected via using immunofluorescence and reverse transcriptionpolymerase chain reaction (RT-PCR). The induced cells, osteoblast, lipoblast, hepatocyte, islet cells, andneurocyte were identified by Alizarin red staining, Oil-red-O staining, Periodic acid-schiff staining, andDithizone staining and RT-PCR detection for specific genes. Results suggest that biological characteristics ofthe UCMSCs were similar to those of MSCs previously analyzed. The primary UCMSCs were sub-cultured topassage 32, the UCMSCs expressed gene CD29, CD44, CD73, CD90, and CD166, induced cells illustratedtypical staining, and expressed specific genes, which indicate that the UCMSCs could be a novel alternativesource of MSCs for experimental and clinical applications.
Gao, Xing-Hui,Yang, Xue-Qin,Wang, Bi-Cheng,Liu, Shao-Ping,Wang, Fu-Bing Asian Pacific Journal of Cancer Prevention 2013 Asian Pacific journal of cancer prevention Vol.14 No.9
Objective: Twist, a basic helix-loop-helix transcription factor, plays a key role in the metastatic progression of human cancer. Matrix metalloproteinase (MMP)-9 is an endopeptidase that digests basement membrane type IV collagen, therefore being possibly related to tumor progression. It has been reported that Twist and matrix metalloproteinase-9 (MMP-9) are expressed in gastric cancers. However, the exact roles of Twist and MMP-9 in tumor metastasis and prognosis remain unclear. The aim of this study was to casts light on this question. Methods:Twist and MMP-9 expression in tissue sections of 37 gastric carcinomas was evaluated with immunohistochemistry. The staining results were compared with clinicopatholgic features and to patients' outcome. Results: Twist positive expression was significantly increased in gastric cancer cases with lymph node metastasis (P=0.023). But no correlations were found between MMP-9 overexpression and clinicopathologic features, such as recurrence, TNM stage, and lymph node metastasis. Overall survival (OS) was significantly correlated with recurrence, serosa invasion, TNM stages, distant metastasis, and MMP-9 (P=0.027, 0.021, 0.000, 0.024 and 0.036, respectively). Disease-free survival (DFS) was prominently related to recurrence location, serosa invasion and TNM stages (P=0.000, 0.038 and 0.003, respectively). In the Cox regression multivariate analysis, TNM stage, distant metastasis and MMP-9 were significantly associated with prognosis of gastric cancer (P=0.002, 0.019, and 0.032, respectively). Conclusions: This study showed Twist positive expression to be significantly correlated with lymph node metastasis in gastric cancer. MMP-9 overexpression is associated with OS, suggesting that MMP-9 is a prognostic indicator for survival in patients with gastric cancer.
GAO Hui,Song Qi-chao,Huang Jun 보안공학연구지원센터 2016 International Journal of Hybrid Information Techno Vol.9 No.6
Due to the normal forecasting methods for subgrade settlement using observation data have different applicabilities, and the predicting results has bigger volatility and lower accuracy. The Combined forecasting model of subgrade settlement based on Least Square twin support vector regession is put forward in this paper. At the first, according to the basic settlement law of subgrade and characteristics of settlement curve, the growth curve with the S-type characteristics are choosed as single forcasting model; Then taking prediction results of each individual model as the least square support vector regression model input and to construct the combined forecasting model of subgrade settlement. The result of engineering practice shows that the proposed method has better prediction accuracy and stability.
Hui Gao,Hongbin Zhang,Jianwei Xia 제어·로봇·시스템학회 2020 International Journal of Control, Automation, and Vol.18 No.11
This paper foucuses on the study of finite-time extended dissipative control for a class of switched nonlinear systems. An event-triggered communication scheme is proposed to reduce the transmitted data of the system state. Sufficient conditions for finite-time extended dissipative control for the switched nonlinear systems are addressed, based on extended dissipative, we can solve the H∞, L2 − L∞, Passivity and (Q, S, R)-dissipativity performance at the same time. T-S fuzzy models are applied to represent the nonlinear subsystems. Linear matrix inequality techniques are used for the design of the fuzzy controller. Finally, numerical examples are presented.