目的:探讨ICU重症感染患者治疗时间的危险影响因素。方法选自2010年9月~2013年9月进入到我院ICU的重症感染患者116例,将这116例患者根据ICU治疗时间分成两组,其中ICU治疗时间小于36h的患者有47例,将其命名为观察组,其中ICU治疗时间大于...目的:探讨ICU重症感染患者治疗时间的危险影响因素。方法选自2010年9月~2013年9月进入到我院ICU的重症感染患者116例,将这116例患者根据ICU治疗时间分成两组,其中ICU治疗时间小于36h的患者有47例,将其命名为观察组,其中ICU治疗时间大于36h的患者有69例,将其命名为对照组,对患者的各项指标进行评分,总结ICU重症感染患者治疗时间的危险影响因素。结果观察组47例患者APACHE I 评分为(9.12±1.3823),SOFA评分为(5.23±1.4832),乳酸水平为(3.42±1.5832)mmol/L。 DIC发病有3例,发病率为6.3%。对照组69例患者APACHE I 评分为(14.32±1.4323),SOFA评分为(7.12±1.3944),乳酸水平为(6.23±1.6932)mmol/L。DIC发病有7例,发病率为13.0%。结论针对于患者的APACHE I、SOFA、乳酸水平以及DIC进行临床干预,能够提高预后,有助于患者逐渐的康复。展开更多
A relatively perfect coalmine fire risk-evaluating and order-arranging model that includes sixteen influential factors was established according to the statistical information of the fully mechanized coalface ground o...A relatively perfect coalmine fire risk-evaluating and order-arranging model that includes sixteen influential factors was established according to the statistical information of the fully mechanized coalface ground on the uncertainty measure theory. Then the single-index measure function of sixteen influential factors and the calculation method of computing the index weight ground on entropy theory were respectively established. The value assignment of sixteen influential factors was carried out by the qualitative analysis and observational data, respectively, in succession. The sequence of fire danger class of four experimental coalfaces could be obtained by the computational aids of Matlab according to the confidence level criterion. Some conclusions that the fire danger class of the No.l, No.2 and No.3 coalface belongs to high criticality can be obtained. But the fire danger class of the No.4 coalface belongs to higher criticality. The fire danger class of the No.4 coalface is more than that of the No.2 coalface. The fire danger class of the No.2 coalface is more than that of the No.1 coalface. Finally, the fire danger class of the No.1 coalface is more than that of the No.3 coalface.展开更多
Delay to large scale projects, which is as a result of actions or inactions of some project stakeholders, is becoming a global phenomena and Ghana is no exception. The objective of the research is to identify, rate an...Delay to large scale projects, which is as a result of actions or inactions of some project stakeholders, is becoming a global phenomena and Ghana is no exception. The objective of the research is to identify, rate and rank the most significant risk factors that causes delay on projects and examine the social impact of these delays to recommend modalities to help mitigate these risk factors. The study adopted quantitative methods with the distribution of 144 questionnaires to built environment professionals receiving a response rate of 75.7%. The instrument listed 58 common factors under eight categories that contribute to the causes of delay for respondents to rate. Analysis of data non-parametric test revealed that client, contractor, material and finance category factors significantly resulted in the schedule delay of large infrastructural projects. The survey analysis revealed that micro-factors that result in delays to large construction projects are time constraint, cost overrun, payment problems, dispute and litigation. The research recommended the following modalities to minimize such delays： availability of resources, improved communication and coordination, proper scope definition and feasibilities, utilization of modern technology, appropriate application of technologically based systems and competent project management＇s structures.展开更多
文摘目的:探讨ICU重症感染患者治疗时间的危险影响因素。方法选自2010年9月~2013年9月进入到我院ICU的重症感染患者116例,将这116例患者根据ICU治疗时间分成两组,其中ICU治疗时间小于36h的患者有47例,将其命名为观察组,其中ICU治疗时间大于36h的患者有69例,将其命名为对照组,对患者的各项指标进行评分,总结ICU重症感染患者治疗时间的危险影响因素。结果观察组47例患者APACHE I 评分为(9.12±1.3823),SOFA评分为(5.23±1.4832),乳酸水平为(3.42±1.5832)mmol/L。 DIC发病有3例,发病率为6.3%。对照组69例患者APACHE I 评分为(14.32±1.4323),SOFA评分为(7.12±1.3944),乳酸水平为(6.23±1.6932)mmol/L。DIC发病有7例,发病率为13.0%。结论针对于患者的APACHE I、SOFA、乳酸水平以及DIC进行临床干预,能够提高预后,有助于患者逐渐的康复。
基金Supported by the National Foundation of China(50974055)the Program for Changjiang Scholars and Innovative Research Team in University(IRT0618)Henan Province Basic and Leading-edge Technology Research Program(082300463205)
文摘A relatively perfect coalmine fire risk-evaluating and order-arranging model that includes sixteen influential factors was established according to the statistical information of the fully mechanized coalface ground on the uncertainty measure theory. Then the single-index measure function of sixteen influential factors and the calculation method of computing the index weight ground on entropy theory were respectively established. The value assignment of sixteen influential factors was carried out by the qualitative analysis and observational data, respectively, in succession. The sequence of fire danger class of four experimental coalfaces could be obtained by the computational aids of Matlab according to the confidence level criterion. Some conclusions that the fire danger class of the No.l, No.2 and No.3 coalface belongs to high criticality can be obtained. But the fire danger class of the No.4 coalface belongs to higher criticality. The fire danger class of the No.4 coalface is more than that of the No.2 coalface. The fire danger class of the No.2 coalface is more than that of the No.1 coalface. Finally, the fire danger class of the No.1 coalface is more than that of the No.3 coalface.
文摘Delay to large scale projects, which is as a result of actions or inactions of some project stakeholders, is becoming a global phenomena and Ghana is no exception. The objective of the research is to identify, rate and rank the most significant risk factors that causes delay on projects and examine the social impact of these delays to recommend modalities to help mitigate these risk factors. The study adopted quantitative methods with the distribution of 144 questionnaires to built environment professionals receiving a response rate of 75.7%. The instrument listed 58 common factors under eight categories that contribute to the causes of delay for respondents to rate. Analysis of data non-parametric test revealed that client, contractor, material and finance category factors significantly resulted in the schedule delay of large infrastructural projects. The survey analysis revealed that micro-factors that result in delays to large construction projects are time constraint, cost overrun, payment problems, dispute and litigation. The research recommended the following modalities to minimize such delays： availability of resources, improved communication and coordination, proper scope definition and feasibilities, utilization of modern technology, appropriate application of technologically based systems and competent project management＇s structures.
