This paper pays its attention on Chinese mobile Internet service( MIS). Chinese MIS is developing so rapidly that the research on the mechanism of the formation of MIS assessment makes significant sense and therefore ...This paper pays its attention on Chinese mobile Internet service( MIS). Chinese MIS is developing so rapidly that the research on the mechanism of the formation of MIS assessment makes significant sense and therefore the three layers construct of the artificial neural network( ANN) theory is applied to address the problem. The final research model contains MIS features including personalization,localization,reachability,connectivity,convenience and ubiquity as the input layer variables,perceived MIS quality and MIS satisfaction as the hidden layer variables and reuse intention as the output layer variable. MIS risk is identified as the mediating variable. Theoretically,the framework is robust and reveals the mechanism of how customers evaluate a certain mobile Internet service. Practically,the model based on ANN should shed some light on how to understand and improve customer perceived mobile Internet service for both MIS giants and new comers.展开更多
目的:对重型胸部损伤患者ICU获得性衰弱(Intensive Care Unit AcquiredWeakness,ICU-AW)风险因素进行量化,为早期识别、预防ICUAW提供理论依据。方法:采用便利抽样法,选取某三级甲等医院胸腔外科ICU重型胸部损伤患者180例作为研究对象,...目的:对重型胸部损伤患者ICU获得性衰弱(Intensive Care Unit AcquiredWeakness,ICU-AW)风险因素进行量化,为早期识别、预防ICUAW提供理论依据。方法:采用便利抽样法,选取某三级甲等医院胸腔外科ICU重型胸部损伤患者180例作为研究对象,采用一般资料调查表和ICU-AW危险因素采集表收集患者相关资料,通过二元Logistic回归分析筛选出ICU-AW的危险因素。结果:73例(40.56%)患者并发ICU-AW;二元Logistic回归分析结果显示,年龄大、APACHEⅡ评分高、存在多器官功能衰竭、机械通气时间长、活动受限、使用糖皮质激素、乳酸水平高为重型胸部损伤患者ICU-AW的危险因素(P<0.05)。结论:重型胸部损伤患者ICU-AW发生率较高且影响因素复杂,临床医务人员应加强对老年患者的关注,及时对入住ICU患者进行APACHEⅡ评分,注意对多器官功能衰竭患者的识别,根据患者胸部创伤严重程度制定个体化机械通气方案,密切关注长期大量使用糖皮质激素患者全身症状及肌力变化情况,关注患者血乳酸水平,预防重型胸部损伤患者ICUAW的发生,从而提高重型胸部损伤患者的护理管理质量。展开更多
文摘This paper pays its attention on Chinese mobile Internet service( MIS). Chinese MIS is developing so rapidly that the research on the mechanism of the formation of MIS assessment makes significant sense and therefore the three layers construct of the artificial neural network( ANN) theory is applied to address the problem. The final research model contains MIS features including personalization,localization,reachability,connectivity,convenience and ubiquity as the input layer variables,perceived MIS quality and MIS satisfaction as the hidden layer variables and reuse intention as the output layer variable. MIS risk is identified as the mediating variable. Theoretically,the framework is robust and reveals the mechanism of how customers evaluate a certain mobile Internet service. Practically,the model based on ANN should shed some light on how to understand and improve customer perceived mobile Internet service for both MIS giants and new comers.
文摘目的:对重型胸部损伤患者ICU获得性衰弱(Intensive Care Unit AcquiredWeakness,ICU-AW)风险因素进行量化,为早期识别、预防ICUAW提供理论依据。方法:采用便利抽样法,选取某三级甲等医院胸腔外科ICU重型胸部损伤患者180例作为研究对象,采用一般资料调查表和ICU-AW危险因素采集表收集患者相关资料,通过二元Logistic回归分析筛选出ICU-AW的危险因素。结果:73例(40.56%)患者并发ICU-AW;二元Logistic回归分析结果显示,年龄大、APACHEⅡ评分高、存在多器官功能衰竭、机械通气时间长、活动受限、使用糖皮质激素、乳酸水平高为重型胸部损伤患者ICU-AW的危险因素(P<0.05)。结论:重型胸部损伤患者ICU-AW发生率较高且影响因素复杂,临床医务人员应加强对老年患者的关注,及时对入住ICU患者进行APACHEⅡ评分,注意对多器官功能衰竭患者的识别,根据患者胸部创伤严重程度制定个体化机械通气方案,密切关注长期大量使用糖皮质激素患者全身症状及肌力变化情况,关注患者血乳酸水平,预防重型胸部损伤患者ICUAW的发生,从而提高重型胸部损伤患者的护理管理质量。
