Mesh-constructed and radial-operated features call for elaborate consideration of co-planning for multi-energy distribution systems(MEDS).Considering a reconfiguration channel can be constructed in advance to cope wit...Mesh-constructed and radial-operated features call for elaborate consideration of co-planning for multi-energy distribution systems(MEDS).Considering a reconfiguration channel can be constructed in advance to cope with extreme N-1 contingencies,this paper proposes a hierarchical robust expansion co-planning model for MEDS.By adopting convex hull relaxation and linearization techniques,the model is cast as a mixed-integer linear programming(MILP)problem with high accuracy.Specifically,the model is divided into four parts:master investment problem,feasible load cutting subproblem in normal scenarios or N-1 fault scenarios,and optimal operational subproblem.Based on defense-attack-correction methodology,a hierarchical solution incorporating adjustable N-1 contingency tolerance is developed to trade-off economy and reliability.Furthermore,a relaxation feedback method is applied to solve invalid feedback cuts of existing parameterization methods.Numerical test results justify the model can generate the best configuration for mesh-constructed MEDS,and the reconfiguration strategy under different adjustable N-1 contingency tolerances is also given as an output of the optimization.展开更多
Background and Objectives:The composition of the human diet is complex and diverse,and the relationship between dietary composition and cognitive decline has not been adequately studied.Therefore,this study explored t...Background and Objectives:The composition of the human diet is complex and diverse,and the relationship between dietary composition and cognitive decline has not been adequately studied.Therefore,this study explored the possible association between food items and the risk of cognitive impairment.Methods and Study Design:This cross-sectional study was based on an ecological longevity cohort and included 2881 participants(1086 men and 1795 women)aged≥30 years between December 2018 and November 2019.The association between food items and the risk of cognitive impairment was explored using the Bayesian kernel machine regression(BKMR)learning model.Results:Finally,2881 participants(1086 men and 1795 women)were included.In all participants,the multivariable logistic analysis showed that fresh fruit consumption was associated with cognitive function(OR=0.999,95%CI:0.998-0.999,p=0.021).Using the BKMR model,none of the 18 food items were significantly correlated with cognitive function among women.In men,when the other food items were fixed at the 25th,50th,and 75th percentile values(P25,estimate=-0.239;P50,estimate=-0.210;P75,estimate=-0.158),there was a negative correlation between fresh fruit consumption and the predicted risk of cognitive function disorders.Conclusions:Men displayed a negative association between fresh fruit consumption and the risk of cognitive function disorders,but this was not apparent among women.展开更多
基金supported by the Joint Key Project of National Natural Science Foundation of China(UU23A20649).
文摘Mesh-constructed and radial-operated features call for elaborate consideration of co-planning for multi-energy distribution systems(MEDS).Considering a reconfiguration channel can be constructed in advance to cope with extreme N-1 contingencies,this paper proposes a hierarchical robust expansion co-planning model for MEDS.By adopting convex hull relaxation and linearization techniques,the model is cast as a mixed-integer linear programming(MILP)problem with high accuracy.Specifically,the model is divided into four parts:master investment problem,feasible load cutting subproblem in normal scenarios or N-1 fault scenarios,and optimal operational subproblem.Based on defense-attack-correction methodology,a hierarchical solution incorporating adjustable N-1 contingency tolerance is developed to trade-off economy and reliability.Furthermore,a relaxation feedback method is applied to solve invalid feedback cuts of existing parameterization methods.Numerical test results justify the model can generate the best configuration for mesh-constructed MEDS,and the reconfiguration strategy under different adjustable N-1 contingency tolerances is also given as an output of the optimization.
基金supported by grants from the Guangxi Postgraduate Education Innovation Project,Grant/Award(No.GYYK2021001).
文摘Background and Objectives:The composition of the human diet is complex and diverse,and the relationship between dietary composition and cognitive decline has not been adequately studied.Therefore,this study explored the possible association between food items and the risk of cognitive impairment.Methods and Study Design:This cross-sectional study was based on an ecological longevity cohort and included 2881 participants(1086 men and 1795 women)aged≥30 years between December 2018 and November 2019.The association between food items and the risk of cognitive impairment was explored using the Bayesian kernel machine regression(BKMR)learning model.Results:Finally,2881 participants(1086 men and 1795 women)were included.In all participants,the multivariable logistic analysis showed that fresh fruit consumption was associated with cognitive function(OR=0.999,95%CI:0.998-0.999,p=0.021).Using the BKMR model,none of the 18 food items were significantly correlated with cognitive function among women.In men,when the other food items were fixed at the 25th,50th,and 75th percentile values(P25,estimate=-0.239;P50,estimate=-0.210;P75,estimate=-0.158),there was a negative correlation between fresh fruit consumption and the predicted risk of cognitive function disorders.Conclusions:Men displayed a negative association between fresh fruit consumption and the risk of cognitive function disorders,but this was not apparent among women.
