scholarly journals Passenger Distribution and Waiting Position Selection Model on Metro Station Platform

Author(s):  
Zongjie Liu ◽  
Dewei Li ◽  
Xiaoquan Wang
2019 ◽  
Vol 18 (1) ◽  
pp. 35-55
Author(s):  
Mohammad Aizat Basir ◽  
Yuhanis Yusof ◽  
Mohamed Saifullah Hussin

2019 ◽  
pp. 59-66
Author(s):  
Ksenia I. Nechaeva

The current state of the Moscow Metro station of the first priority that became operational in 1935 does not allow it to be called a cultural heritage site. This is due to the fact that lighting modernisation carried out by the Moscow Metro was based on fluorescent lamps. Such lamps are more energy efficient compared to incandescent lamps, which were used in original lighting devices specified in the Station Lighting Project developed by architects and designers. However, they significantly changed the station appearance, transforming the originally designed station with entire well visible architectural tectonics?1 from the standpoint of lighting into a simple, flat, unremarkable, and little loaded station of the Moscow Metro./br> This paper describes a method of lighting reconstruction at Krasnoselskaya station by means of original lighting devices that meet modern standards and requirements for cultural heritage sites. The historical analysis on the development of the station lighting environment was conducted during its operation in order to understand what kind of station was conceived by its architects, what changes occurred with its lighting over time, and how it influenced the station appearance and safety of passenger transportation.


2010 ◽  
Vol 33 (11) ◽  
pp. 2116-2125 ◽  
Author(s):  
Yan-Ping CHEN ◽  
Jian-Ke ZHANG ◽  
Jia-Ze SUN ◽  
Qing-Hua ZHENG ◽  
Zheng-Zhi LI

2019 ◽  
Author(s):  
Ningyuan Chen ◽  
Guillermo Gallego ◽  
Pin Gao ◽  
Anran Li
Keyword(s):  

2019 ◽  
Vol 16 (5) ◽  
pp. 392-401
Author(s):  
Shengli Zhang ◽  
Zekun Tong ◽  
Haoyu Yin ◽  
Yifan Feng

Background: Finding the pathogenic gene is very important for understanding the pathogenesis of the disease, locating effective drug targets and improving the clinical level of medical treatment. However, the existing methods for finding the pathogenic genes still have limitations, for instance the computational complexity is high, and the combination of multiple genes and pathways has not been considered to search for highly related pathogenic genes and so on. Methods: We propose a pathogenic genes selection model of genetic disease based on Network Motifs Slicing Feedback (NMSF). We find a point set which makes the conductivity of the motif minimum then use it to substitute for the original gene pathway network. Based on the NMSF, we propose a new pathogenic genes selection model to expand pathogenic gene set. Results: According to the gene set we have obtained, selection of key genes will be more accurate and convincing. Finally, we use our model to screen the pathogenic genes and key pathways of liver cancer and lung cancer, and compare the results with the existing methods. Conclusion: The main contribution is to provide a method called NMSF which simplifies the gene pathway network to make the selection of pathogenic gene simple and feasible. The fact shows our result has a wide coverage and high accuracy and our model has good expeditiousness and robustness.


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