目的探讨精神分裂症患者的认知功能和社会功能状况及其关系。方法采用中文版精神分裂症认知功能成套测验(Matrics Consensus Cognitive Battery,MCCB)和个人和社会功能量表(Personal and Social Performance Scale,PSP)对100名精神分裂...目的探讨精神分裂症患者的认知功能和社会功能状况及其关系。方法采用中文版精神分裂症认知功能成套测验(Matrics Consensus Cognitive Battery,MCCB)和个人和社会功能量表(Personal and Social Performance Scale,PSP)对100名精神分裂症患者和101名正常个体的认知功能(信息处理速度、言语记忆和工作记忆)和社会功能实施测试,比较两组的测验结果,并对认知功能与社会功能的关系进行相关分析及回归分析。结果1)精神分裂症组认知功能测验分数和社会功能分数均显著低于健康对照组(P<0.001)。2)男性精神分裂症患者的社会功能分数比女性患者更高(t=3.473,P=0.001);受教育年限>9年的精神分裂症患者的各认知功能和社会功能分数均显著高于受教育年限低于≤9年的患者(P<0.05);年龄>41岁的精神分裂症患者的各认知功能分数均显著低于≤41岁患者的(P<0.05);病程>16年的精神分裂症患者在信息处理速度方面显著差于病程≤16年的患者(P<0.05),并且在言语学习方面显著差于病程在6~15年的患者(P<0.05)。3)精神分裂症患者PSP总分与信息处理速度(r=0.348,P<0.05)、言语记忆(r=0.220,P<0.05)、工作记忆(r=0.308,P<0.05)呈正相关;逐步回归分析显示,信息处理速度可以有效预测社会功能(B=0.729,P<0.05)。结论精神分裂症患者存在认知功能损害和社会功能损害,其认知功能受到了受教育年限、年龄、病程的影响,社会功能受到了性别、受教育年限的影响。精神分裂症患者的信息处理速度可以预测社会功能状况。展开更多
In a growing number of information processing applications,data takes the form of continuous data streams rather than traditional stored databases.Monitoring systems that seek to provide monitoring services in cloud e...In a growing number of information processing applications,data takes the form of continuous data streams rather than traditional stored databases.Monitoring systems that seek to provide monitoring services in cloud environment must be prepared to deal gracefully with huge data collections without compromising system performance.In this paper,we show that by using a concept of urgent data,our system can shorten the response time for most 'urgent' queries while guarantee lower bandwidth consumption.We argue that monitoring data can be treated differently.Some data capture critical system events;the arrival of these data will significantly influence the monitoring reaction speed which is called urgent data.High speed urgent data collections can help system to react in real time when facing fatal errors.A cloud environment in production,MagicCube,is used as a test bed.Extensive experiments over both real world and synthetic traces show that when using urgent data,monitoring system can lower the response latency compared with existing monitoring approaches.展开更多
文摘目的探讨精神分裂症患者的认知功能和社会功能状况及其关系。方法采用中文版精神分裂症认知功能成套测验(Matrics Consensus Cognitive Battery,MCCB)和个人和社会功能量表(Personal and Social Performance Scale,PSP)对100名精神分裂症患者和101名正常个体的认知功能(信息处理速度、言语记忆和工作记忆)和社会功能实施测试,比较两组的测验结果,并对认知功能与社会功能的关系进行相关分析及回归分析。结果1)精神分裂症组认知功能测验分数和社会功能分数均显著低于健康对照组(P<0.001)。2)男性精神分裂症患者的社会功能分数比女性患者更高(t=3.473,P=0.001);受教育年限>9年的精神分裂症患者的各认知功能和社会功能分数均显著高于受教育年限低于≤9年的患者(P<0.05);年龄>41岁的精神分裂症患者的各认知功能分数均显著低于≤41岁患者的(P<0.05);病程>16年的精神分裂症患者在信息处理速度方面显著差于病程≤16年的患者(P<0.05),并且在言语学习方面显著差于病程在6~15年的患者(P<0.05)。3)精神分裂症患者PSP总分与信息处理速度(r=0.348,P<0.05)、言语记忆(r=0.220,P<0.05)、工作记忆(r=0.308,P<0.05)呈正相关;逐步回归分析显示,信息处理速度可以有效预测社会功能(B=0.729,P<0.05)。结论精神分裂症患者存在认知功能损害和社会功能损害,其认知功能受到了受教育年限、年龄、病程的影响,社会功能受到了性别、受教育年限的影响。精神分裂症患者的信息处理速度可以预测社会功能状况。
基金supported by the National Key Technology R&D Program(Grant NO. 2012BAH17F01)NSFC-NSF International Cooperation Project(Grant NO. 61361126011)
文摘In a growing number of information processing applications,data takes the form of continuous data streams rather than traditional stored databases.Monitoring systems that seek to provide monitoring services in cloud environment must be prepared to deal gracefully with huge data collections without compromising system performance.In this paper,we show that by using a concept of urgent data,our system can shorten the response time for most 'urgent' queries while guarantee lower bandwidth consumption.We argue that monitoring data can be treated differently.Some data capture critical system events;the arrival of these data will significantly influence the monitoring reaction speed which is called urgent data.High speed urgent data collections can help system to react in real time when facing fatal errors.A cloud environment in production,MagicCube,is used as a test bed.Extensive experiments over both real world and synthetic traces show that when using urgent data,monitoring system can lower the response latency compared with existing monitoring approaches.
