Non-small cell lung cancer(NSCLC)accounts for about 85%of all lung cancer cases.The pathogenesis of NSCLC involves complex gene networks that include different types of non-coding RNAs,such as long non-coding RNAs(lnc...Non-small cell lung cancer(NSCLC)accounts for about 85%of all lung cancer cases.The pathogenesis of NSCLC involves complex gene networks that include different types of non-coding RNAs,such as long non-coding RNAs(lnc RNAs).The role of lnc RNAs in NSCLC is gaining an increasing interest as their function is being explored in various human cancers.Recently,a new oncogenic lnc RNA,LINC00152(cytoskeleton regulator RNA(CYTOR)),has been identified in different tumor types.In NSCLC,the high expression of LINC00152 in tumor tissue and peripheral blood samples has been shown to be associated with worse prognoses of NSCLC patients.Overexpression of LINC00152 has been confirmed to promote the proliferation,invasion,and migration of NSCLC cells in vitro,as well as increase tumor growth in vivo.This review discusses the role of LINC00152 in NSCLC.展开更多
The expressway traffc incidents have the characteristics of high harmful, strong destructive and refractory.Incident detection can guarantee smooth operation of the expressway, reduce traffc congestion and avoid secon...The expressway traffc incidents have the characteristics of high harmful, strong destructive and refractory.Incident detection can guarantee smooth operation of the expressway, reduce traffc congestion and avoid secondary accident by informing the accident, detection and treatment timely. In this paper, an incident detection method is proposed using the toll station data that takes into account the traffc ratio at the entrances and crossway in the network. The expressway traffc simulation model is improved and a simulation algorithm is established to describe the movement of the vehicles. A numerical example is experimented on the expressway network of Shandong province. The proposed method can effectively detect the expressway incidents, and dynamically estimate the traffc network states so as to provide advice for the highway management department.展开更多
This paper studies how to generate the reasonable information of travelers' decision in real network. This problem is very complex because the travelers' decision is constrained by different human behavior. Th...This paper studies how to generate the reasonable information of travelers' decision in real network. This problem is very complex because the travelers' decision is constrained by different human behavior. The network conditions can be predicted by using the advanced dynamic OD(Origin-Destination, OD) estimation techniques. Based on the improved mesoscopic traffic model, the predictable dynamic traffic guidance information can be obtained accurately.A consistency algorithm is designed to investigate the travelers' decision by simulating the dynamic response to guidance information. The simulation results show that the proposed method can provide the best guidance information. Further,a case study is conducted to verify the theoretical results and to draw managerial insights into the potential of dynamic guidance strategy in improving traffic performance.展开更多
基金Project supported by the Health Technology Innovation Project of Jilin Province(No.2017J025),China.
文摘Non-small cell lung cancer(NSCLC)accounts for about 85%of all lung cancer cases.The pathogenesis of NSCLC involves complex gene networks that include different types of non-coding RNAs,such as long non-coding RNAs(lnc RNAs).The role of lnc RNAs in NSCLC is gaining an increasing interest as their function is being explored in various human cancers.Recently,a new oncogenic lnc RNA,LINC00152(cytoskeleton regulator RNA(CYTOR)),has been identified in different tumor types.In NSCLC,the high expression of LINC00152 in tumor tissue and peripheral blood samples has been shown to be associated with worse prognoses of NSCLC patients.Overexpression of LINC00152 has been confirmed to promote the proliferation,invasion,and migration of NSCLC cells in vitro,as well as increase tumor growth in vivo.This review discusses the role of LINC00152 in NSCLC.
基金Supported by the National Natural Science Foundation of China under Grant Nos.71871130,71471104,71771019,71571109the University Science and Technology Program Funding Projects of Shandong Province under Grant No.J17KA211the Project of Public Security Department of Shandong Province under Grant No.GATHT2015-236
文摘The expressway traffc incidents have the characteristics of high harmful, strong destructive and refractory.Incident detection can guarantee smooth operation of the expressway, reduce traffc congestion and avoid secondary accident by informing the accident, detection and treatment timely. In this paper, an incident detection method is proposed using the toll station data that takes into account the traffc ratio at the entrances and crossway in the network. The expressway traffc simulation model is improved and a simulation algorithm is established to describe the movement of the vehicles. A numerical example is experimented on the expressway network of Shandong province. The proposed method can effectively detect the expressway incidents, and dynamically estimate the traffc network states so as to provide advice for the highway management department.
基金Supported by National Natural Science Foundation of China under Grant Nos.71471104,71771019,71571109,and 71471167The University Science and Technology Program Funding Projects of Shandong Province under Grant No.J17KA211+1 种基金The Project of Public Security Department of Shandong Province under Grant No.GATHT2015-236The Major Social and Livelihood Special Project of Jinan under Grant No.20150905
文摘This paper studies how to generate the reasonable information of travelers' decision in real network. This problem is very complex because the travelers' decision is constrained by different human behavior. The network conditions can be predicted by using the advanced dynamic OD(Origin-Destination, OD) estimation techniques. Based on the improved mesoscopic traffic model, the predictable dynamic traffic guidance information can be obtained accurately.A consistency algorithm is designed to investigate the travelers' decision by simulating the dynamic response to guidance information. The simulation results show that the proposed method can provide the best guidance information. Further,a case study is conducted to verify the theoretical results and to draw managerial insights into the potential of dynamic guidance strategy in improving traffic performance.
