Regular coronavirus disease 2019(COVID-19)epidemic prevention and control have raised new require-ments that necessitate operation-strategy innovation in urban rail transit.To alleviate increasingly seri-ous congestio...Regular coronavirus disease 2019(COVID-19)epidemic prevention and control have raised new require-ments that necessitate operation-strategy innovation in urban rail transit.To alleviate increasingly seri-ous congestion and further reduce the risk of cross-infection,a novel two-stage distributionally robust optimization(DRO)model is explicitly constructed,in which the probability distribution of stochastic scenarios is only partially known in advance.In the proposed model,the mean-conditional value-at-risk(CVaR)criterion is employed to obtain a tradeoff between the expected number of waiting passen-gers and the risk of congestion on an urban rail transit line.The relationship between the proposed DRO model and the traditional two-stage stochastic programming(SP)model is also depicted.Furthermore,to overcome the obstacle of model solvability resulting from imprecise probability distributions,a discrepancy-based ambiguity set is used to transform the robust counterpart into its computationally tractable form.A hybrid algorithm that combines a local search algorithm with a mixed-integer linear programming(MILP)solver is developed to improve the computational efficiency of large-scale instances.Finally,a series of numerical examples with real-world operation data are executed to validate the pro-posed approaches.展开更多
“Curriculum ideology”is a new teaching concept that combines professional courses with ideological and political courses.At present,the teaching reform of ideological and political education has been launched in col...“Curriculum ideology”is a new teaching concept that combines professional courses with ideological and political courses.At present,the teaching reform of ideological and political education has been launched in colleges and universities across the country.It is a major innovation in the field of education in the new era.With the continuous improvement of China’s opening to the outside world,there is also a strong demand for applied foreign language talents.As a course with elements of cross-cultural knowledge and foreign cultural system,college English translation must adapt to the macro requirements of the ideological and political concepts of college English courses as well as reform its teaching contents and methods.On this basis,this article analyzes the status quo of college English translation under the background of“curriculum ideology”and proposes ways to reform the teaching of college English translation,in order to break the limitations of traditional college English teaching,improve students’learning efficiency,and further deepen the reform of translation teaching,and cultivate modern applied cross-cultural communication talents with high professional skills and political literacy.展开更多
基金supported the National Natural Science Foundation of China (71621001, 71825004, and 72001019)the Fundamental Research Funds for Central Universities (2020JBM031 and 2021YJS203)the Research Foundation of State Key Laboratory of Rail Traffic Control and Safety (RCS2020ZT001)
文摘Regular coronavirus disease 2019(COVID-19)epidemic prevention and control have raised new require-ments that necessitate operation-strategy innovation in urban rail transit.To alleviate increasingly seri-ous congestion and further reduce the risk of cross-infection,a novel two-stage distributionally robust optimization(DRO)model is explicitly constructed,in which the probability distribution of stochastic scenarios is only partially known in advance.In the proposed model,the mean-conditional value-at-risk(CVaR)criterion is employed to obtain a tradeoff between the expected number of waiting passen-gers and the risk of congestion on an urban rail transit line.The relationship between the proposed DRO model and the traditional two-stage stochastic programming(SP)model is also depicted.Furthermore,to overcome the obstacle of model solvability resulting from imprecise probability distributions,a discrepancy-based ambiguity set is used to transform the robust counterpart into its computationally tractable form.A hybrid algorithm that combines a local search algorithm with a mixed-integer linear programming(MILP)solver is developed to improve the computational efficiency of large-scale instances.Finally,a series of numerical examples with real-world operation data are executed to validate the pro-posed approaches.
基金This study was supported by the Economic and Social Development Research Project in Heilongjiang Province(2019)-A Feminist Study of American Fiction Writing in the 20th Century(WY2019022-B)the General Research Project of Higher Education Reform in Heilongjiang Province(2019)-Subjects’Communication System in Translation Teaching for English Majors(SJGY20190373).
文摘“Curriculum ideology”is a new teaching concept that combines professional courses with ideological and political courses.At present,the teaching reform of ideological and political education has been launched in colleges and universities across the country.It is a major innovation in the field of education in the new era.With the continuous improvement of China’s opening to the outside world,there is also a strong demand for applied foreign language talents.As a course with elements of cross-cultural knowledge and foreign cultural system,college English translation must adapt to the macro requirements of the ideological and political concepts of college English courses as well as reform its teaching contents and methods.On this basis,this article analyzes the status quo of college English translation under the background of“curriculum ideology”and proposes ways to reform the teaching of college English translation,in order to break the limitations of traditional college English teaching,improve students’learning efficiency,and further deepen the reform of translation teaching,and cultivate modern applied cross-cultural communication talents with high professional skills and political literacy.
