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Large-scale Landslides in Diexi Region of Minjiang River, Sichuan Province, China
( Yunsheng Wang ),( Bo Zhao ),( Xun Zhao ),( Qianqian Feng ),( Fengshuang Guo ),( Yue Luo ),( Jiangwei Liu ) 대한지질공학회 2019 대한지질공학회 학술발표회논문집 Vol.2019 No.2
The field survey regarding large-scale landslide (Scale) of whole Minjiang River shows that Diexi region, located in upper reach of Minjiang River, is an obvious large-scale landslide concentration area. There are 21 large-scale landslides in Diexi region, and 70% landslides belong to super large-scale landslides (Scale), as shown in Figure 1. All these landslides both blocked rivers and some barrier lakes still exist. Based on field investigations, the failure mechanism and geological environment are discussed in this study. For failure mechanism, three fracture planes cut the rock mass into separation; the stepped fractures forms slip surfaces; finally, these unstable rock mass slide. For geological environment, Diexi region is in west boundary of Minshan block, and in the N-S seismic belt and the Jiaochang arc tectonic belt, two active fractures (Songpinggou fracture and Minjiang fracture) confluence at Diexi region; all these make Diexi region be a Knick point of Minjiang River, a compression and torsion zone and a high stress concentration zone. Intensive uplift and quick incision (1.88 mm/yr.) since the middle Pleistocene formed a gorge with sharp slopes and strong lateral uploading. For failure cause, the intensive tectonic activities make the rock mass produce many fractures, numerous strong earthquakes weaken the rock mass integrity further; finally, the strong earthquake triggered them.
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Yang Feng,Zhiming Fu,Yajun Luo,Wang Tan,Zilin Liu,Pengcheng Ye,Fei Lu,Wanping Xiang,Linghan Tang,Lin Yao,Mengyun Song,Qingmei Huang,Yilun Liu,Jiangwei Xiao 대한독성 유전단백체 학회 2019 Molecular & cellular toxicology Vol.15 No.3
Backgrounds: The role of long non-coding RNAs (lncRNA) in gastric cancer (GC) has been highlighted in studies conducted over the past decade. However, the potential clinical value and the mechanisms of action of RP11-6O2.4 in GC have not been thoroughly elucidated to date. The specific aim of the present study was to assess RP11-6O2.4 and to explore its role in human GC. Methods: Quantitative real-time polymerase chain reaction (qPCR) was performed to analyze the expression levels of RP11-6O2.4 in GC tissues, paired adjacent noncancerous tissues (ANTs) and GC cell lines. In addition, the correlation between RP11-6O2.4 expression and the clinical characteristics and prognosis of patients with GC was statistically analyzed. The effects of RP11- 6O2.4 on the GC cell cycle transformation through the p38-MAPK signaling pathway were explored by flow cytometry, qPCR and Western blot analysis after treatment with SB203580, a p38MAPK specific inhibitor, in vitro. Results: The expression levels of RP11-6O2.4 in GC tissues were significantly lower than the paired ANTs (P<0.05). In addition, RP11-6O2.4 expression was significantly lower in cases with older age, longer maximum tumor diameter, higher ASA grade and deeper invasive depth (P<0.05). RP11-6O2.4 expression was significantly higher in cases with well/middle differentiation than poor/no differentiation; higher in cases without lymph node metastasis than in lymph node metastasis; and higher in cases in stage Ⅰ/Ⅱ than in stage Ⅲ/Ⅳ. An in vitro assay showed that RP11-6O2.4 induced G0/ G1 phase cell cycle arrest, likely by regulating the p38- MAPK signaling pathway. Conclusion: The above mentioned data suggested that RP11-6O2.4 was a tumor-suppressor gene in GC. RP11- 6O2.4 might play an important role in the cell cycle transformation by regulating the p38-MAPK signaling pathway, thereby representing a specific biomarker and a potential molecular target for the treatment of GC.
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Research on Model of Vehicle Logistics Transportation Plan
Jiang Wei,Zhou Baoping,Kang Shunguang,Liu Chan 보안공학연구지원센터 2016 International Journal of Smart Home Vol.10 No.9
The vehicle logistics is a complex branch in the field of logistics. Because of vehicles and vehicle transporters have a variety of specifications, the current logistics company make transportation plan mainly depends on scheduling personnel's experience, in the face of complex transportation tasks, however, are often inefficient, and transportation cost is not ideal. This paper used the E problem dates of the National Mathematical Modeling Contest for Postgraduates in 2014 to study the mathematical model is established to solve the problem of loading method of vehicles and transportation plan. Firstly, 2207 vehicles can be divided into four categories, we used MATLAB to calculation the loading method of vehicles for 10 types of vehicle transporters, then we take vehicle transporter minimum number as optimization objective, with vehicle demand and the proportion of vehicle transporters as the constraint conditions, to establish the integer programming model, and finally we used LINGO programming to calculate the optimal transport plan is: vehicle transporter minimum number is 127.
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