A new scheduling algorithm called deferrable scheduling with time slice exchange (DS-EXC) was proposed to maintain the temporal validity of real-time data. In DS-EXC, the time slice exchange method was designed to fur...A new scheduling algorithm called deferrable scheduling with time slice exchange (DS-EXC) was proposed to maintain the temporal validity of real-time data. In DS-EXC, the time slice exchange method was designed to further defer the release time of transaction instances derived by the deferrable scheduling algorithm (DS-FP). In this way, more CPU time would be left for lower priority transactions and other transactions. In order to minimize the scheduling overhead, an off-line scheme was designed. In particular, the schedule for a transaction set is generated off-line until a repeating pattern is found, and then the pattern is used to construct the schedule on-line. The performance of DS-EXC was evaluated by sets of experiments. The results show that DS-EXC outperforms DS-FP in terms of increasing schedulable ratio. It also provides better performance under mixed workloads.展开更多
As the reader states,establishing a highly generalizable predictive model for carbapenem-resistant Enterobacteriaceae(CRE)infection in pediatric patients after liver transplantation poses significant challenges.Tempor...As the reader states,establishing a highly generalizable predictive model for carbapenem-resistant Enterobacteriaceae(CRE)infection in pediatric patients after liver transplantation poses significant challenges.Temporal validation is a recognized challenge^([1]).Our study employed temporal validation to rigorously assess the model's robustness across different time periods.Although epidemiological shifts are possible,the model consistently identified strong,patientspecific risk factors,including pre-transplant colonization and surgical complications,which supports its transportability.The model performed well in the high-risk validation cohort,which had elevated CRE colonization rates,supporting its applicability across diverse settings.We fully agree on the need for continuous validation in newer cohorts and have plans to do so in our ongoing research.展开更多
基金Project(60873030) supported by the National Natural Science Foundation of China
文摘A new scheduling algorithm called deferrable scheduling with time slice exchange (DS-EXC) was proposed to maintain the temporal validity of real-time data. In DS-EXC, the time slice exchange method was designed to further defer the release time of transaction instances derived by the deferrable scheduling algorithm (DS-FP). In this way, more CPU time would be left for lower priority transactions and other transactions. In order to minimize the scheduling overhead, an off-line scheme was designed. In particular, the schedule for a transaction set is generated off-line until a repeating pattern is found, and then the pattern is used to construct the schedule on-line. The performance of DS-EXC was evaluated by sets of experiments. The results show that DS-EXC outperforms DS-FP in terms of increasing schedulable ratio. It also provides better performance under mixed workloads.
文摘As the reader states,establishing a highly generalizable predictive model for carbapenem-resistant Enterobacteriaceae(CRE)infection in pediatric patients after liver transplantation poses significant challenges.Temporal validation is a recognized challenge^([1]).Our study employed temporal validation to rigorously assess the model's robustness across different time periods.Although epidemiological shifts are possible,the model consistently identified strong,patientspecific risk factors,including pre-transplant colonization and surgical complications,which supports its transportability.The model performed well in the high-risk validation cohort,which had elevated CRE colonization rates,supporting its applicability across diverse settings.We fully agree on the need for continuous validation in newer cohorts and have plans to do so in our ongoing research.
