Vapor pressure deficit(VPD)plays a crucial role in determining plant physiological functions and exerts a substantial influence on vegetation,second only to carbon dioxide(CO_(2)).As a robust indicator of atmospheric ...Vapor pressure deficit(VPD)plays a crucial role in determining plant physiological functions and exerts a substantial influence on vegetation,second only to carbon dioxide(CO_(2)).As a robust indicator of atmospheric water demand,VPD has implications for global water resources,and its significance extends to the structure and functioning of ecosystems.However,the influence of VPD on vegetation growth under climate change remains unclear in China.This study employed empirical equations to estimate the VPD in China from 2000 to 2020 based on meteorological reanalysis data of the Climatic Research Unit(CRU)Time-Series version 4.06(TS4.06)and European Centre for Medium-Range Weather Forecasts(ECMWF)Reanalysis 5(ERA-5).Vegetation growth status was characterized using three vegetation indices,namely gross primary productivity(GPP),leaf area index(LAI),and near-infrared reflectance of vegetation(NIRv).The spatiotemporal dynamics of VPD and vegetation indices were analyzed using the Theil-Sen median trend analysis and Mann-Kendall test.Furthermore,the influence of VPD on vegetation growth and its relative contribution were assessed using a multiple linear regression model.The results indicated an overall negative correlation between VPD and vegetation indices.Three VPD intervals for the correlations between VPD and vegetation indices were identified:a significant positive correlation at VPD below 4.820 hPa,a significant negative correlation at VPD within 4.820–9.000 hPa,and a notable weakening of negative correlation at VPD above 9.000 hPa.VPD exhibited a pronounced negative impact on vegetation growth,surpassing those of temperature,precipitation,and solar radiation in absolute magnitude.CO_(2) contributed most positively to vegetation growth,with VPD offsetting approximately 30.00%of the positive effect of CO_(2).As the rise of VPD decelerated,its relative contribution to vegetation growth diminished.Additionally,the intensification of spatial variations in temperature and precipitation accentuated the spatial heterogeneity in the impact of VPD on vegetation growth in China.This research provides a theoretical foundation for addressing climate change in China,especially regarding the challenges posed by increasing VPD.展开更多
目的通过对南平市某二甲医院歧义病案产生的原因分析,提高疾病诊断相关分组(diagnosis related groups,DRGs)的正确入组率。方法回顾性调查2023年1—4月南平市某二甲医院7675份病案,依据国际疾病分类(international classification of d...目的通过对南平市某二甲医院歧义病案产生的原因分析,提高疾病诊断相关分组(diagnosis related groups,DRGs)的正确入组率。方法回顾性调查2023年1—4月南平市某二甲医院7675份病案,依据国际疾病分类(international classification of diseases,ICD-10)和手术操作分类(international classification of diseases clinical modificationof9threvisionoperationsandprocedures,ICD-9-CM-3)的编码规则以及国家医疗保障疾病诊断相关分组(China healthcare security diagnosis related groups,CHS-DRG)细分组方案(1.1版),分析歧义病案产生的影响因素。结果7675份住院病案首页参与分组病案6923份,共有异常分组病案205份,其中空白病组病案3份;歧义病案202份,占分组病案的2.92%。产生歧义病案的主要因素有:主要诊断选择错误、主要手术选择有误、主要手术与主要诊断不在同一主要诊断大类(major diagnostic category,MDC)、同次住院多疾病共治等。结论针对歧义病案产生的主要原因应加强临床医师和编码员住院病案首页填报和DRG相关知识的培训,做好病案首页质量事前控制工作,提高病案正确入组率。展开更多
主/副版本备份技术是分布式系统常用的实时容错调度方法,然而传统的主动方式副版本即使在无处理机故障时也需要在备份处理机上完全运行,增加了处理机消耗.提出一种基于固定优先级调度算法的延迟主动副版本(deferred active backup-copy...主/副版本备份技术是分布式系统常用的实时容错调度方法,然而传统的主动方式副版本即使在无处理机故障时也需要在备份处理机上完全运行,增加了处理机消耗.提出一种基于固定优先级调度算法的延迟主动副版本(deferred active backup-copy)备份技术,该技术通过尽量向后调度主动方式的副版本,并在主版本成功执行时终止副版本的执行来减少备份的冗余度.在此基础上,提出一种基于该技术的以最小化处理机数目为优化目标的启发式任务分配算法——基于延迟主动副版本的最佳适应算法DABCBF(deferred active backup-copy based best-fit algorithm).DABCBF在保证系统的实时性和容错能力的前提条件下,通过尽量减少主版本的最坏响应时间来最大程度地减少冗余,以节省处理机.最后通过仿真实验,证明了算法的可行性和有效性.展开更多
基金This research was supported by the National Natural Science Foundation of China(42161058).
文摘Vapor pressure deficit(VPD)plays a crucial role in determining plant physiological functions and exerts a substantial influence on vegetation,second only to carbon dioxide(CO_(2)).As a robust indicator of atmospheric water demand,VPD has implications for global water resources,and its significance extends to the structure and functioning of ecosystems.However,the influence of VPD on vegetation growth under climate change remains unclear in China.This study employed empirical equations to estimate the VPD in China from 2000 to 2020 based on meteorological reanalysis data of the Climatic Research Unit(CRU)Time-Series version 4.06(TS4.06)and European Centre for Medium-Range Weather Forecasts(ECMWF)Reanalysis 5(ERA-5).Vegetation growth status was characterized using three vegetation indices,namely gross primary productivity(GPP),leaf area index(LAI),and near-infrared reflectance of vegetation(NIRv).The spatiotemporal dynamics of VPD and vegetation indices were analyzed using the Theil-Sen median trend analysis and Mann-Kendall test.Furthermore,the influence of VPD on vegetation growth and its relative contribution were assessed using a multiple linear regression model.The results indicated an overall negative correlation between VPD and vegetation indices.Three VPD intervals for the correlations between VPD and vegetation indices were identified:a significant positive correlation at VPD below 4.820 hPa,a significant negative correlation at VPD within 4.820–9.000 hPa,and a notable weakening of negative correlation at VPD above 9.000 hPa.VPD exhibited a pronounced negative impact on vegetation growth,surpassing those of temperature,precipitation,and solar radiation in absolute magnitude.CO_(2) contributed most positively to vegetation growth,with VPD offsetting approximately 30.00%of the positive effect of CO_(2).As the rise of VPD decelerated,its relative contribution to vegetation growth diminished.Additionally,the intensification of spatial variations in temperature and precipitation accentuated the spatial heterogeneity in the impact of VPD on vegetation growth in China.This research provides a theoretical foundation for addressing climate change in China,especially regarding the challenges posed by increasing VPD.
文摘目的通过对南平市某二甲医院歧义病案产生的原因分析,提高疾病诊断相关分组(diagnosis related groups,DRGs)的正确入组率。方法回顾性调查2023年1—4月南平市某二甲医院7675份病案,依据国际疾病分类(international classification of diseases,ICD-10)和手术操作分类(international classification of diseases clinical modificationof9threvisionoperationsandprocedures,ICD-9-CM-3)的编码规则以及国家医疗保障疾病诊断相关分组(China healthcare security diagnosis related groups,CHS-DRG)细分组方案(1.1版),分析歧义病案产生的影响因素。结果7675份住院病案首页参与分组病案6923份,共有异常分组病案205份,其中空白病组病案3份;歧义病案202份,占分组病案的2.92%。产生歧义病案的主要因素有:主要诊断选择错误、主要手术选择有误、主要手术与主要诊断不在同一主要诊断大类(major diagnostic category,MDC)、同次住院多疾病共治等。结论针对歧义病案产生的主要原因应加强临床医师和编码员住院病案首页填报和DRG相关知识的培训,做好病案首页质量事前控制工作,提高病案正确入组率。
文摘主/副版本备份技术是分布式系统常用的实时容错调度方法,然而传统的主动方式副版本即使在无处理机故障时也需要在备份处理机上完全运行,增加了处理机消耗.提出一种基于固定优先级调度算法的延迟主动副版本(deferred active backup-copy)备份技术,该技术通过尽量向后调度主动方式的副版本,并在主版本成功执行时终止副版本的执行来减少备份的冗余度.在此基础上,提出一种基于该技术的以最小化处理机数目为优化目标的启发式任务分配算法——基于延迟主动副版本的最佳适应算法DABCBF(deferred active backup-copy based best-fit algorithm).DABCBF在保证系统的实时性和容错能力的前提条件下,通过尽量减少主版本的最坏响应时间来最大程度地减少冗余,以节省处理机.最后通过仿真实验,证明了算法的可行性和有效性.
