The scope of this article is to screen thesymptoms of Post-Traumatic Stress Disorder （PTSD） among the professionals of health and public safety securi~ who providedhumanitarian aid fbr the population of Madeira afte...The scope of this article is to screen thesymptoms of Post-Traumatic Stress Disorder （PTSD） among the professionals of health and public safety securi~ who providedhumanitarian aid fbr the population of Madeira after the 2010 alluvium. It involves a cross-sectional study. The list of life events （LAV） and theperi-traumaticexperiences questionnaire （PTSB）--adult versionwere used for screening symptoms.The participants included 405 professionalson the emergency crews （mean age = 34.51）. Most are male （83.5%） and was in his residence （52.8%） at the time of the event.The results showed that there are significant differences between the profession and the response to the event （P 〈 0.001）, as well as in relation to Post Traumatic Stress Disorder （PTSD）, being most evident in the group of firemen and military （P 〈 0.001） of developing PTSD.Therefore, the mental health care of the professionals should suggest the vital need for specific training and the prevention of psychological disorders.展开更多
Motivated by a critical issue of airline planning process,this paper addresses a new two-stage scenario-based robust optimization in operational airline planning to cope with uncertainty and possible flight disruption...Motivated by a critical issue of airline planning process,this paper addresses a new two-stage scenario-based robust optimization in operational airline planning to cope with uncertainty and possible flight disruptions.Following the route network scheme and generated flight timetables,aircraft maintenance routing and crew scheduling are critical factors in airline planning and operations cost management.This study considers the simultaneous assignment of aircraft fleet and crew to the scheduled flight while satisfying a set of operational constraints,rules,and regulations.Considering multiple locations for airline maintenance and crew bases,we solve the problem of integrated Aircraft Maintenance Routing and Crew Rostering(AMRCR)to achieve the minimum airline cost.One real challenge to the efficiency of the planning results is the possible disruptions in the initial scheduled flights.Due to the fact that disruption scenarios are expressed discretely with a specified probability,and we provide adjustable decisions under disruption to deal with this disruption risk,we provide a Two-Stage Scenario-Based Robust Optimization(TSRO)model.In this model,here-and-now or first-stage variables are the initial resource assignment.Furthermore,to adapt itself to different disruption scenarios,the model considers some adjustable variables,such as the decision to cancel the flight in case of disruption,as wait-and-see or second-stage variables.Considering the complexity of integrated models,and the scenario-based decomposable structure of the TRSO model to solve it with better computational performance,we apply the column and row generation(CRG)method that iteratively considers the disruption scenarios.The numerical results confirm the applicability of the proposed TSRO model in providing the AMRCR problem with an integrated and robust solution with an acceptable level of computational tractability.To evaluate the proposed TSRO model,which solves the AMRCR problem in an integrated and robust manner,five Key Performance Indicators(KPIs)like Number of delayed/canceled flights,Average delay time,and Average profit are taken into account.As key results driven by conducting a case study,we show the proposed TSRO model has substantially improved the solutions at all indicators compared with those of the sequential/non-integrated and nominal/non-robust models.The simulated instances used to assess the performance of the proposed model and CRG method reveal that both CPLEX and the CRG method exhibit comparable and nearly optimal performance for small-scale problems.However,for large-scale instances the proposed TSRO model falls short in terms of computational efficiency.Conversely,the proposed CRG method is capable of significantly reducing computational time and the optimality gap to an acceptable level.展开更多
Airline crew rostering is the assignment problem of crew members to planned rotations/pairings for certain month. Airline companies have the monthly task of constructing personalized monthly schedules (roster) for cre...Airline crew rostering is the assignment problem of crew members to planned rotations/pairings for certain month. Airline companies have the monthly task of constructing personalized monthly schedules (roster) for crew members. This problem became more complex and difficult while the aspirations/criterias to assess the quality of roster grew and the constraints increased excessively. This paper proposed the differential evolution (DE) method to solve the airline rostering problem. Different from the common DE, this paper presented random swap as mutation operator. The DE algorithm is proven to be able to find the near optimal solution accurately for the optimization problem. Through numerical experiments with some real datasets, DE showed more competitive results than two other methods, column generation and MOSI (the one used by the Airline). DE produced good results for small and medium datasets, but it still showed reasonable results for large dataset. For large crew rostering problem, we proposed decomposition procedure to solve it in more efficient manner using DE.展开更多
A consensus has been reached that the tanks need to be integrated into the informatization battlefield. With the development of technology,the tank crew has being gradually decreased, so the research on two-soldier cr...A consensus has been reached that the tanks need to be integrated into the informatization battlefield. With the development of technology,the tank crew has being gradually decreased, so the research on two-soldier crew tank has become a hotspot. The workload of tank crew under the conditions of informatization is analyzed based on the combat mission of tank and the typical combat scenarios, and the impact of new technologies on workload is evaluated. The crew members in tank can be reduced from three to two, but it is necessary to substantially improve the automation of target search and the reliability of each subsystem and component.展开更多
Crew pairing is a sequence of flights beginning and ending at the same crewbase. Crew pairing planning is one of the primary processes in airline crew scheduling;it is also the primary cost-determining phase in airlin...Crew pairing is a sequence of flights beginning and ending at the same crewbase. Crew pairing planning is one of the primary processes in airline crew scheduling;it is also the primary cost-determining phase in airline crew scheduling. Optimizing crew pairings in an airline timetable helps minimize operational crew costs and maximize crew utilization. There are numerous restrictions that must be considered and just as many regulations that must be satisfied in crew pairing generation. The most important regulations—and the ones that make crew pairing planning a highly constrained optimization problem—are the the limits of the flight and the duty periods. Keeping these restrictions and regulations in mind, the main goal of the optimization is the generation of low cost sets of valid crew pairings which cover all flights in the airline’s timetable. For this research study, We examined studies about crew pairing optimization and used these previously existing methods of crew pairing to develop a new solution of the crew pairing problem using genetic algorithms. As part of the study we created a new genetic operator—called perturbation operator.Unlike traditional genetic algorithm implementations, this new perturbation operator provides much more stable results, an obvious increase in the convergence rate, and takes into account the existence of multiple crewbases.展开更多
An open source Direct Simulation Monte Carlo (DSMC) code, called as dsmcFoam in OpenFOAM, is used to study a blunt body with the shape of a space crew capsule return vehicle. The rarefied gas has the Knudsen number wi...An open source Direct Simulation Monte Carlo (DSMC) code, called as dsmcFoam in OpenFOAM, is used to study a blunt body with the shape of a space crew capsule return vehicle. The rarefied gas has the Knudsen number with 0.03. The flow with a Mach number 4.35 over the capsule was simulated by DSMC. The distributions of velocity field and temperature around the capsule were calculated. This study may provide some useful information for the reentry of the return vehicle.展开更多
Objective: To investigate the effect of high altitude span transportation on the change of hematocrit and electrocardiogram of the crew in the plateau construction, and discuss their relationship. Method: By SPSS 11.0...Objective: To investigate the effect of high altitude span transportation on the change of hematocrit and electrocardiogram of the crew in the plateau construction, and discuss their relationship. Method: By SPSS 11.0 statistical software, to treat hematocrit and electrocardiogram in the examination data of the the crew, who took part in the construction of Qinghai-Tibetan railway in 2003, before, during and after the construction. Then, we compared the data among the constructors in the fixed altitude during the same period. Result: The hematocrit of the crew slowly and continually rose to the maximum(p<0.01) after the construction in the high altitude span during one construction year, and the abnormal rate of electrocardiogram obviously decreased(p<0.05). The abnormal rate of electrocardiogram apparently improved when hematocrit reached 52% among the range from 45.12% to 52.24%, and the correlation analysis showed that the electrocardiographic change was closely and negatively correlated with the hematocrit among the range of hematocrit(p<0.05). Conclusion: Although the higher-level stress state of the crew made the hematocrit in the blood continually increase in the long-term high altitude span construction, the hematocrit reached the more reasonable hematocrit compensation and made it the optimum state of Hct in the end. As a result, the perfusion of tissues and organs was improved. The abnormal rate of electrocardiogram apparently improved because the oxygen delivery of the myocardium reached the optimum compensation.展开更多
文摘The scope of this article is to screen thesymptoms of Post-Traumatic Stress Disorder （PTSD） among the professionals of health and public safety securi~ who providedhumanitarian aid fbr the population of Madeira after the 2010 alluvium. It involves a cross-sectional study. The list of life events （LAV） and theperi-traumaticexperiences questionnaire （PTSB）--adult versionwere used for screening symptoms.The participants included 405 professionalson the emergency crews （mean age = 34.51）. Most are male （83.5%） and was in his residence （52.8%） at the time of the event.The results showed that there are significant differences between the profession and the response to the event （P 〈 0.001）, as well as in relation to Post Traumatic Stress Disorder （PTSD）, being most evident in the group of firemen and military （P 〈 0.001） of developing PTSD.Therefore, the mental health care of the professionals should suggest the vital need for specific training and the prevention of psychological disorders.
文摘Motivated by a critical issue of airline planning process,this paper addresses a new two-stage scenario-based robust optimization in operational airline planning to cope with uncertainty and possible flight disruptions.Following the route network scheme and generated flight timetables,aircraft maintenance routing and crew scheduling are critical factors in airline planning and operations cost management.This study considers the simultaneous assignment of aircraft fleet and crew to the scheduled flight while satisfying a set of operational constraints,rules,and regulations.Considering multiple locations for airline maintenance and crew bases,we solve the problem of integrated Aircraft Maintenance Routing and Crew Rostering(AMRCR)to achieve the minimum airline cost.One real challenge to the efficiency of the planning results is the possible disruptions in the initial scheduled flights.Due to the fact that disruption scenarios are expressed discretely with a specified probability,and we provide adjustable decisions under disruption to deal with this disruption risk,we provide a Two-Stage Scenario-Based Robust Optimization(TSRO)model.In this model,here-and-now or first-stage variables are the initial resource assignment.Furthermore,to adapt itself to different disruption scenarios,the model considers some adjustable variables,such as the decision to cancel the flight in case of disruption,as wait-and-see or second-stage variables.Considering the complexity of integrated models,and the scenario-based decomposable structure of the TRSO model to solve it with better computational performance,we apply the column and row generation(CRG)method that iteratively considers the disruption scenarios.The numerical results confirm the applicability of the proposed TSRO model in providing the AMRCR problem with an integrated and robust solution with an acceptable level of computational tractability.To evaluate the proposed TSRO model,which solves the AMRCR problem in an integrated and robust manner,five Key Performance Indicators(KPIs)like Number of delayed/canceled flights,Average delay time,and Average profit are taken into account.As key results driven by conducting a case study,we show the proposed TSRO model has substantially improved the solutions at all indicators compared with those of the sequential/non-integrated and nominal/non-robust models.The simulated instances used to assess the performance of the proposed model and CRG method reveal that both CPLEX and the CRG method exhibit comparable and nearly optimal performance for small-scale problems.However,for large-scale instances the proposed TSRO model falls short in terms of computational efficiency.Conversely,the proposed CRG method is capable of significantly reducing computational time and the optimality gap to an acceptable level.
文摘Airline crew rostering is the assignment problem of crew members to planned rotations/pairings for certain month. Airline companies have the monthly task of constructing personalized monthly schedules (roster) for crew members. This problem became more complex and difficult while the aspirations/criterias to assess the quality of roster grew and the constraints increased excessively. This paper proposed the differential evolution (DE) method to solve the airline rostering problem. Different from the common DE, this paper presented random swap as mutation operator. The DE algorithm is proven to be able to find the near optimal solution accurately for the optimization problem. Through numerical experiments with some real datasets, DE showed more competitive results than two other methods, column generation and MOSI (the one used by the Airline). DE produced good results for small and medium datasets, but it still showed reasonable results for large dataset. For large crew rostering problem, we proposed decomposition procedure to solve it in more efficient manner using DE.
文摘A consensus has been reached that the tanks need to be integrated into the informatization battlefield. With the development of technology,the tank crew has being gradually decreased, so the research on two-soldier crew tank has become a hotspot. The workload of tank crew under the conditions of informatization is analyzed based on the combat mission of tank and the typical combat scenarios, and the impact of new technologies on workload is evaluated. The crew members in tank can be reduced from three to two, but it is necessary to substantially improve the automation of target search and the reliability of each subsystem and component.
文摘Crew pairing is a sequence of flights beginning and ending at the same crewbase. Crew pairing planning is one of the primary processes in airline crew scheduling;it is also the primary cost-determining phase in airline crew scheduling. Optimizing crew pairings in an airline timetable helps minimize operational crew costs and maximize crew utilization. There are numerous restrictions that must be considered and just as many regulations that must be satisfied in crew pairing generation. The most important regulations—and the ones that make crew pairing planning a highly constrained optimization problem—are the the limits of the flight and the duty periods. Keeping these restrictions and regulations in mind, the main goal of the optimization is the generation of low cost sets of valid crew pairings which cover all flights in the airline’s timetable. For this research study, We examined studies about crew pairing optimization and used these previously existing methods of crew pairing to develop a new solution of the crew pairing problem using genetic algorithms. As part of the study we created a new genetic operator—called perturbation operator.Unlike traditional genetic algorithm implementations, this new perturbation operator provides much more stable results, an obvious increase in the convergence rate, and takes into account the existence of multiple crewbases.
文摘An open source Direct Simulation Monte Carlo (DSMC) code, called as dsmcFoam in OpenFOAM, is used to study a blunt body with the shape of a space crew capsule return vehicle. The rarefied gas has the Knudsen number with 0.03. The flow with a Mach number 4.35 over the capsule was simulated by DSMC. The distributions of velocity field and temperature around the capsule were calculated. This study may provide some useful information for the reentry of the return vehicle.
文摘Objective: To investigate the effect of high altitude span transportation on the change of hematocrit and electrocardiogram of the crew in the plateau construction, and discuss their relationship. Method: By SPSS 11.0 statistical software, to treat hematocrit and electrocardiogram in the examination data of the the crew, who took part in the construction of Qinghai-Tibetan railway in 2003, before, during and after the construction. Then, we compared the data among the constructors in the fixed altitude during the same period. Result: The hematocrit of the crew slowly and continually rose to the maximum(p<0.01) after the construction in the high altitude span during one construction year, and the abnormal rate of electrocardiogram obviously decreased(p<0.05). The abnormal rate of electrocardiogram apparently improved when hematocrit reached 52% among the range from 45.12% to 52.24%, and the correlation analysis showed that the electrocardiographic change was closely and negatively correlated with the hematocrit among the range of hematocrit(p<0.05). Conclusion: Although the higher-level stress state of the crew made the hematocrit in the blood continually increase in the long-term high altitude span construction, the hematocrit reached the more reasonable hematocrit compensation and made it the optimum state of Hct in the end. As a result, the perfusion of tissues and organs was improved. The abnormal rate of electrocardiogram apparently improved because the oxygen delivery of the myocardium reached the optimum compensation.
