That more than 82 percent of proved sandstone-type uranium deposits coexist with proved oil-gas or coalfields in the world reflects the fact of coexistence and accumulation of multi-energy minerals including oil,gas,c...That more than 82 percent of proved sandstone-type uranium deposits coexist with proved oil-gas or coalfields in the world reflects the fact of coexistence and accumulation of multi-energy minerals including oil,gas,coal and uranium in the same basin.Especially,this phenomenon is most typical in the Central-east Asia energy basins.Across China,Mongolia and some central Asian countries,the giant Central-east Asia metallogenetic domain(CEAMD)stretches more than 6,000 km from Songliao Basin of China in the east to the Caspian Sea in the west.The multi-energy minerals distribution characteristics of the domain include:their spatial distribution is complicated and ordered;the ore-bearing horizon relates closely to the geographical region;the accumulation/mineralization and localization time is the same or close;the occurrence setting and accumulation/mineralization have close correlation;and they have rich provenance for all the minerals.All of these imply that they have close relations between each other under a unified geodynamic background.The exogenetic uranium mineralization process in CEAMD can be divided into five phases using time limits of 100 Ma,(50±2)Ma,20±(2―4)Ma,8―5 Ma.The major mineralization periods and their differences in each primary uranium-bearing basin are identical to the oil-gas accumulation and localization periods and phases in the same basin,and are also in response to regional tectonics and controlled in general by the regional geodynamic environment.For industrial application and commercial exploitation,it is suggested that an important period for coexistence,accumulation and localization of oil,gas,coal and uranium and their interaction mainly occur in the late/last and post basin evolution.Through generalized analysis and comparison of accumulation/mineralization environment of the energy basins in CEAMD,the authors propose that the relatively stable regional tectonic background and moderate(weaker)structural deformation probably are necessary for formation,coexistence and preservat展开更多
Lung cancer is the most common cancer worldwide. In the United States, it causes more cancer-related deaths than the next four causes （breast cancer, prostate cancer, colon cancer, and pancreatic cancer） of cancer-r...Lung cancer is the most common cancer worldwide. In the United States, it causes more cancer-related deaths than the next four causes （breast cancer, prostate cancer, colon cancer, and pancreatic cancer） of cancer-related mortality combined （1）. About 30% of people have already progressed to stage III lung cancer and 40% to stage IV at the time they are diagnosed （2）. Although chest X-ray and sputum cytology, when applied in health check-ups, can identify some relatively small tumors, they are not able to lower the overall mortality （3）. More recently,展开更多
Purpose-In order to solve the problem of inaccurate calculation of index weights,subjectivity and uncertainty of index assessment in the risk assessment process,this study aims to propose a scientific and reasonable c...Purpose-In order to solve the problem of inaccurate calculation of index weights,subjectivity and uncertainty of index assessment in the risk assessment process,this study aims to propose a scientific and reasonable centralized traffic control(CTC)system risk assessment method.Design/methodologylapproach-First,system-theoretic process analysis(STPA)is used to conduct risk analysis on the CTC system and constructs risk assessment indexes based on this analysis.Then,to enhance the accuracy of weight calculation,the fuzzy analytical hierarchy process(FAHP),fuzzy decision-making trial and evaluation laboratory(FDEMATEL)and entropy weight method are employed to calculate the subjective weight,relative weight and objective weight of each index.These three types of weights are combined using game theory to obtain the combined weight for each index.To reduce subjectivity and uncertainty in the assessment process,the backward cloud generator method is utilized to obtain the numerical character(NC)of the cloud model for each index.The NCs of the indexes are then weighted to derive the comprehensive cloud for risk assessment of the CTC system.This cloud model is used to obtain the CTC system's comprehensive risk assessment.The model's similarity measurement method gauges the likeness between the comprehensive risk assessment cloud and the risk standard cloud.Finally,this process yields the risk assessment results for the CTC system.Findings-The cloud model can handle the subjectivity and fuzziness in the risk assessment process well.The cloud model-based risk assessment method was applied to the CTC system risk assessment of a railway group and achieved good results.Originality/value-This study provides a cloud model-based method for risk assessment of CTC systems,which accurately calculates the weight of risk indexes and uses cloud models to reduce uncertainty and subjectivity in the assessment,achieving effective risk assessment of CTC systems.It can provide a reference and theoretical basis for risk management of the CTC展开更多
基金Jointly supported by the National Important Basic Research Program of China(Grant No.2003CB214607)Program for Changjiang Scholars and Innovative Research Team in University(Grant No.IRT0559)the National Natural Science Foundation of China(Grant No.40372096)
文摘That more than 82 percent of proved sandstone-type uranium deposits coexist with proved oil-gas or coalfields in the world reflects the fact of coexistence and accumulation of multi-energy minerals including oil,gas,coal and uranium in the same basin.Especially,this phenomenon is most typical in the Central-east Asia energy basins.Across China,Mongolia and some central Asian countries,the giant Central-east Asia metallogenetic domain(CEAMD)stretches more than 6,000 km from Songliao Basin of China in the east to the Caspian Sea in the west.The multi-energy minerals distribution characteristics of the domain include:their spatial distribution is complicated and ordered;the ore-bearing horizon relates closely to the geographical region;the accumulation/mineralization and localization time is the same or close;the occurrence setting and accumulation/mineralization have close correlation;and they have rich provenance for all the minerals.All of these imply that they have close relations between each other under a unified geodynamic background.The exogenetic uranium mineralization process in CEAMD can be divided into five phases using time limits of 100 Ma,(50±2)Ma,20±(2―4)Ma,8―5 Ma.The major mineralization periods and their differences in each primary uranium-bearing basin are identical to the oil-gas accumulation and localization periods and phases in the same basin,and are also in response to regional tectonics and controlled in general by the regional geodynamic environment.For industrial application and commercial exploitation,it is suggested that an important period for coexistence,accumulation and localization of oil,gas,coal and uranium and their interaction mainly occur in the late/last and post basin evolution.Through generalized analysis and comparison of accumulation/mineralization environment of the energy basins in CEAMD,the authors propose that the relatively stable regional tectonic background and moderate(weaker)structural deformation probably are necessary for formation,coexistence and preservat
文摘Lung cancer is the most common cancer worldwide. In the United States, it causes more cancer-related deaths than the next four causes （breast cancer, prostate cancer, colon cancer, and pancreatic cancer） of cancer-related mortality combined （1）. About 30% of people have already progressed to stage III lung cancer and 40% to stage IV at the time they are diagnosed （2）. Although chest X-ray and sputum cytology, when applied in health check-ups, can identify some relatively small tumors, they are not able to lower the overall mortality （3）. More recently,
基金National Natural Science Foundation of China under Grant 62203468Technological Research and Development Program of China State Railway Group Co.,Ltd.under Grant J2023G007+2 种基金Young Elite Scientist Sponsorship Program by China Association for Science and Technology(CAST)under Grant 2022QNRC001Youth Talent Program Supported by China Railway SocietyResearch Program of Beijing Hua-Tie Information Technology Corporation Limited under Grant 2023HT02.
文摘Purpose-In order to solve the problem of inaccurate calculation of index weights,subjectivity and uncertainty of index assessment in the risk assessment process,this study aims to propose a scientific and reasonable centralized traffic control(CTC)system risk assessment method.Design/methodologylapproach-First,system-theoretic process analysis(STPA)is used to conduct risk analysis on the CTC system and constructs risk assessment indexes based on this analysis.Then,to enhance the accuracy of weight calculation,the fuzzy analytical hierarchy process(FAHP),fuzzy decision-making trial and evaluation laboratory(FDEMATEL)and entropy weight method are employed to calculate the subjective weight,relative weight and objective weight of each index.These three types of weights are combined using game theory to obtain the combined weight for each index.To reduce subjectivity and uncertainty in the assessment process,the backward cloud generator method is utilized to obtain the numerical character(NC)of the cloud model for each index.The NCs of the indexes are then weighted to derive the comprehensive cloud for risk assessment of the CTC system.This cloud model is used to obtain the CTC system's comprehensive risk assessment.The model's similarity measurement method gauges the likeness between the comprehensive risk assessment cloud and the risk standard cloud.Finally,this process yields the risk assessment results for the CTC system.Findings-The cloud model can handle the subjectivity and fuzziness in the risk assessment process well.The cloud model-based risk assessment method was applied to the CTC system risk assessment of a railway group and achieved good results.Originality/value-This study provides a cloud model-based method for risk assessment of CTC systems,which accurately calculates the weight of risk indexes and uses cloud models to reduce uncertainty and subjectivity in the assessment,achieving effective risk assessment of CTC systems.It can provide a reference and theoretical basis for risk management of the CTC
