The purpose of this study was to investigate exercise motivation of a Generation Z sample and to compare exercise motivation between Generation Z and Y. College students from Generation Z (N = 1,457) and Y (N = 2,199)...The purpose of this study was to investigate exercise motivation of a Generation Z sample and to compare exercise motivation between Generation Z and Y. College students from Generation Z (N = 1,457) and Y (N = 2,199) completed the exercise motivation inventory. A two time-point cross sectional quasi-experimental design was implemented for this study. The strongest exercise motivators for Generation Z college students were strength/endurance, ill-health avoidance, and positive health. Generation Z participants scored statistically significantly higher across all subscales of the EMI-2 (exercise motivation inventory-2) when compared to Generation Y. Understanding generational differences in exercise motivation can help in tailoring effective physical activity interventions.展开更多
The accurate modeling of depletion,intricately tied to the solution of the neutron transport equation,is crucial for the design,analysis,and licensing of nuclear reactors and their fuel cycles.This paper introduces a ...The accurate modeling of depletion,intricately tied to the solution of the neutron transport equation,is crucial for the design,analysis,and licensing of nuclear reactors and their fuel cycles.This paper introduces a novel multi-group Monte-Carlo depletion calculation approach.Multi-group cross-sections(MGXS)are derived from both 3D whole-core model and 2D fuel subassembly model using the continuous-energy Monte-Carlo method.Core calculations employ the multi-group Monte-Carlo method,accommodating both homogeneous and specific local heterogeneous geometries.The proposed method has been validated against the MET-1000 metal-fueled fast reactors,using both the OECD/NEA benchmark and a new refueling benchmark introduced in this paper.Our findings suggest that microscopic MGXS,produced via the Monte-Carlo method,are viable for fast reactor depletion analyses.Furthermore,the locally heterogeneous model with angular-dependent MGXS offers robust predictions for core reactivity,control rod value,sodium void value,Doppler constants,power distribution,and concentration levels.展开更多
文摘The purpose of this study was to investigate exercise motivation of a Generation Z sample and to compare exercise motivation between Generation Z and Y. College students from Generation Z (N = 1,457) and Y (N = 2,199) completed the exercise motivation inventory. A two time-point cross sectional quasi-experimental design was implemented for this study. The strongest exercise motivators for Generation Z college students were strength/endurance, ill-health avoidance, and positive health. Generation Z participants scored statistically significantly higher across all subscales of the EMI-2 (exercise motivation inventory-2) when compared to Generation Y. Understanding generational differences in exercise motivation can help in tailoring effective physical activity interventions.
基金supported by the National Natural Science Foundation of China(Nos.12105170,12135008)Science and Technology on Reactor System Design Technology Laboratory.
文摘The accurate modeling of depletion,intricately tied to the solution of the neutron transport equation,is crucial for the design,analysis,and licensing of nuclear reactors and their fuel cycles.This paper introduces a novel multi-group Monte-Carlo depletion calculation approach.Multi-group cross-sections(MGXS)are derived from both 3D whole-core model and 2D fuel subassembly model using the continuous-energy Monte-Carlo method.Core calculations employ the multi-group Monte-Carlo method,accommodating both homogeneous and specific local heterogeneous geometries.The proposed method has been validated against the MET-1000 metal-fueled fast reactors,using both the OECD/NEA benchmark and a new refueling benchmark introduced in this paper.Our findings suggest that microscopic MGXS,produced via the Monte-Carlo method,are viable for fast reactor depletion analyses.Furthermore,the locally heterogeneous model with angular-dependent MGXS offers robust predictions for core reactivity,control rod value,sodium void value,Doppler constants,power distribution,and concentration levels.
