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RISS 인기검색어
- 검색키워드
- 저자 : ( Chengcheng Jiang ) (검색결과 3 건)
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Rader Tracer Erosion Analysis of Dongzhiyu District Based on Radar Imagery
( Chengcheng Jiang ),( Wen Fan ) 대한지질공학회 2019 대한지질공학회 학술발표회논문집 Vol.2019 No.2
Dongzhiyuan is largest Plateau, which is known as “the first Plateau in the word”. The head-cut erosion companying with serious water erosion and gravity erosion pushes forward the hinterland to continuous shrinkage of Plateau surface. In this paper, we proposed the combination of small baseline subset (SBASInSAR) and Permanent scattering (PS-InSAR) technologiesto the measurement of the deformation time series of erosion. To get the distribution map of trace erosion settlement, 21 ALOS PALSAR of L-Band images from 2007 to 2011 were analysised. The typical erosion areas in this study area were selected by techniques such as ArcGIS and ENVI, and the interpretation of the gully traceable erosion and surface settlement distribution was analyzed. Based on the geological conditions such as rainfall data and soil conditions within the corresponding years of the satellite imagery, the characteristics of erosion and sedimentation are discussed from the origin and development process of traceability erosion.The result shows that the rainfall, soil and human activities are the main factors impacting head-cut erosion. The average subsidence rate is -6.3mm/yr, while the highest subsidence rate of -50.1mm/yr occurring in the subsidence. We summed up the process of head-cut erosion occurrence and put forward the control measures. It can be summarized as plateau surface measures and gully bottom measure. Through the actual investigation, the accuracy of the interpretation analysis is verified, which provides theoretical basis and reference for the prevention and treatment of erosion in the region.
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Development of a Crash Risk Index to Identify Real Time Crash Risks on Freeways
Chengcheng Xu,Pan Liu,Wei Wang,Xuan Jiang 대한토목학회 2013 KSCE JOURNAL OF CIVIL ENGINEERING Vol.17 No.7
The primary objective of this study is to develop a quantitative indicator that can be directly used to identify hazardous traffic states on freeway mainlines. Using data obtained from a 22-mile freeway segment on the I-880N freeway in San Francisco Bay Area in the United States, Fisher discriminant analysis was conducted to derive a linear combination of traffic flow parameters which can be used to distinguish traffic states which may lead to crashes from normal traffic conditions which were potentially safe. A new variable termed “crash risk index” was defined based on the discriminant function. A crash risk index which is smaller than 0 represents a hazardous traffic condition potentially leading to a crash. Accordingly, a crash risk index which is greater than 0 represents normal traffic conditions which, theoretically, will not lead to crash occurrences. The research team tested the prediction performance of using the crash risk index to identify hazardous traffic conditions on freeway mainlines. An overall prediction accuracy of about 65.7% was achieved. Conditional logistic regression analysis was then conducted to evaluate the impacts of crash risk indexes on the likelihood of crash occurrences. It was found that the likelihood of freeway crashes increased with the decreases in crash risk index. One unit decrease in crash risk index increased the risk of crash occurrence by 180.3%. The research team also looked extensively at the impacts of crash risk indexes at different time slices. It was found that the impacts of crash risk index decrease with time and the crash risk index at the time slice most immediately before crashes had the greatest impact on crash occurrences.
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Li Cui,Weiquan Bu,Jie Song,Liang Feng,Tingting Xu,Dan Liu,Wenbo Ding,Jianhua Wang,Changyang Li,Binge Ma,Yi Luo,Ziyu Jiang,Chengcheng Wang,Juan Chen,Jian Hou,Hong-mei Yan,Lei Yang,Xiao-bin Jia 대한약학회 2018 Archives of Pharmacal Research Vol.41 No.3
Alantolactone is a sesquiterpene lactone isolatedfrom Inula helenium L. Although alantolactone possessesanti-inflammation and apoptosis-induction activities, theunderlying mechanism of anti-cancer effect on humanbreast cancer cells remains largely unknown. In this study,we explored the possibility of alantolactone as an apoptosis-inducing cytotoxic agent using MDA-MB-231 cells asin vitro model. Alantolactone significantly induced itsapoptosis, demonstrated by cell cycle analysis, annexinV-APC/7-AAD double staining and dUTP nick end labeling. Additionally, alantolactone triggered the mitochondrial-mediated caspase cascade apoptotic pathway, whichwas confirmed by increased Bax/Bcl-2 ratio, loss of MMP,release of cytc from mitochondria to cytoplasm, activationof caspase 9/3, and subsequent cleavage of PARP. Z-VADFMKpartially prevented apoptosis induced by alantolactone. Alantolactone provoked the production of ROS, whileNAC (a scavenger of ROS) reversed alantolactone-mediateddepolarization of MMP and apoptosis. Alantolactonemodulated the activities of MAPKs. As expected, cotreatmentwith SB203580, SP600125 or U0126 could reducedthe apoptotic rate. Furthermore, alantolactone decreasedthe protein expressions of p-NF-kB p65 and p-STAT3,increased p-c-Jun level in a dose-dependent manner. Thesefindings suggested that alantolactone possessed anticanceractivity via ROS-mediated mitochondrial dysfunctioninvolving MAPK pathway, and had an effect on the transcriptionfactors of NF-kB, AP-1 and STAT3.
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