Exercise is a highly proven and beneficial health promotion modality, But it is very difficult to determine whether the person during exercise is safe. A unique and comprehensive approach is proposed to perform physic...Exercise is a highly proven and beneficial health promotion modality, But it is very difficult to determine whether the person during exercise is safe. A unique and comprehensive approach is proposed to perform physical exercise risk evaluation (PERE), in which personalized factors are deterrrdned basing on grey correlation analysis, analytic hierarchy process (AHP) method is used to structure the large numbers of risk factors, and fuzzy comprehensive evaluation (FCE) is applied to fuzzify the factors and compute the exercise risk level. Finally, an actual calculation example is used to verify the feasibility of the method.展开更多
Vietnam has become a major market for construction enterprises from East Asian countries, especially from China, to participate in international project contracting, but serious schedule delays have important adverse ...Vietnam has become a major market for construction enterprises from East Asian countries, especially from China, to participate in international project contracting, but serious schedule delays have important adverse effects on local government and foreign investment companies. Based on international engineering contracting mode of Vietnam highway BOT construction projects, we discussed the drive financial factors of schedule delays, using the methods of exploratory factor analysis and questionnaire survey, and evaluated the effects of various factors which are through regression analysis. The empirical results show that the five categories of financial factors, including the policy change, slow payment, financial mismanagement, financial market changes and lack of fiscal, have significant effects on schedule delay. Furtherly, we suggested that strengthening policy research and improving financial management ability should be used to reduce the influence of relevant financial factors on schedule delay, to improve the profitability of international businesses and the motivation of foreign enterprises to participate in Vietnam highway project.展开更多
为从系统整体角度完成对起落架收放系统的风险辨识和影响分析,将系统理论过程分析(Systematic Theory Process Analysis,STPA)与决策实验室分析-解释结构模型(Decision Making Trial and Evaluation Laboratory Interpretive Structural...为从系统整体角度完成对起落架收放系统的风险辨识和影响分析,将系统理论过程分析(Systematic Theory Process Analysis,STPA)与决策实验室分析-解释结构模型(Decision Making Trial and Evaluation Laboratory Interpretive Structural Modeling,DEMATEL-ISM)相结合来开展分析。首先,定义事故和系统级危险,以民机进近阶段放下起落架为例,运用STPA完成对风险因素的系统化辨识;其次,基于最大平均熵减(Maximum Mean De-entropy,MMDE)算法帮助DEMATEL-ISM模型确定阈值,完成对风险因素影响的重要性分析并识别可能引发系统级危险的风险传递路径,据此挖掘关键致因场景,以给出风险预防建议。结果显示:线路性能退化或失效、位置作动控制组件(Position Action Control Unit,PACU)核心处理器故障为关键原因因素,收放作动筒作动异常、机组成员操作不当、起落架指示灯显示异常、起落架液压选择阀作动异常、PACU信息接收有误为关键结果因素,这些因素均涉及多条可能引发系统级危险的风险传递路径,应予以重点控制。展开更多
The paper describes a simplified GIS approach, for landslides risk assessment in the Province of Bergamo, developed for a GIS degree thesis at the faculty of Engineering of the University of Bergamo. The subject has b...The paper describes a simplified GIS approach, for landslides risk assessment in the Province of Bergamo, developed for a GIS degree thesis at the faculty of Engineering of the University of Bergamo. The subject has been and still is largely studied by many researchers with the aid of rigorous mathematical/statistical analysis tools. This work follows some procedures carried out by other studies, but at the end it has been decided to adopt a simple, fast and not rigorous way to find a solution. A following analysis, on the higher risk areas identified, has also been performed to test their reliability, allowing achieving satisfactory results. It has been planned to study the risk model more thoroughly, by taking into account other triggering causes for landslide susceptibility and to try also a rigorous approach, so as to get a better idea of the results achieved so far and how to improve them.展开更多
The present paper deals with development of a course evaluation survey (CES) questionnaire regarding evaluation of humanities courses (e.g., Commerce/Economics/Law) and assessment of its validity and reliability. Taki...The present paper deals with development of a course evaluation survey (CES) questionnaire regarding evaluation of humanities courses (e.g., Commerce/Economics/Law) and assessment of its validity and reliability. Taking help from available questionnaires and also incorporating views from the teachers of the related subjects, the relevant Likert type items were selected. The drafted version of the questionnaire was finalized taking into account feedback from the subject experts. The focus was on simple language to ensure clarity to the students to facilitate accuracy of the collected data. The developed questionnaire consists of five domains involving fifteen Likert type items including a global item. For assessment of its reliability and validity, data were collected among two groups of undergraduate students studying two courses namely Accounts (n = 190) and Law (n = 90). For assessing questionnaire, Karl Pearson Correlation Coefficient, Cronbach’s Alpha coefficient and four factor solutions under factor analysis were used. The analytical results were quite consistent across the data sets (that are, accounts, law and pooled together) that exhibit good psychometric properties. It may thus be concluded that the questionnaire is valid, reliable and may measure what it is intended to measure.展开更多
Landslide is a serious natural disaster next only to earthquake and flood,which will cause a great threat to people’s lives and property safety.The traditional research of landslide disaster based on experience-drive...Landslide is a serious natural disaster next only to earthquake and flood,which will cause a great threat to people’s lives and property safety.The traditional research of landslide disaster based on experience-driven or statistical model and its assessment results are subjective,difficult to quantify,and no pertinence.As a new research method for landslide susceptibility assessment,machine learning can greatly improve the landslide susceptibility model’s accuracy by constructing statistical models.Taking Western Henan for example,the study selected 16 landslide influencing factors such as topography,geological environment,hydrological conditions,and human activities,and 11 landslide factors with the most significant influence on the landslide were selected by the recursive feature elimination(RFE)method.Five machine learning methods[Support Vector Machines(SVM),Logistic Regression(LR),Random Forest(RF),Extreme Gradient Boosting(XGBoost),and Linear Discriminant Analysis(LDA)]were used to construct the spatial distribution model of landslide susceptibility.The models were evaluated by the receiver operating characteristic curve and statistical index.After analysis and comparison,the XGBoost model(AUC 0.8759)performed the best and was suitable for dealing with regression problems.The model had a high adaptability to landslide data.According to the landslide susceptibility map of the five models,the overall distribution can be observed.The extremely high and high susceptibility areas are distributed in the Funiu Mountain range in the southwest,the Xiaoshan Mountain range in the west,and the Yellow River Basin in the north.These areas have large terrain fluctuations,complicated geological structural environments and frequent human engineering activities.The extremely high and highly prone areas were 12043.3 km^(2)and 3087.45 km^(2),accounting for 47.61%and 12.20%of the total area of the study area,respectively.Our study reflects the distribution of landslide susceptibility in western Henan Province,which provides a scientific basis for regional disaster warning,prediction,and resource protection.The study has important practical significance for subsequent landslide disaster management.展开更多
BACKGROUND Small bowel obstruction(SBO)still imposes a substantial burden on the health care system.Traditional evaluation systems for SBO outcomes only focus on a single element.The comprehensive evaluation of outcom...BACKGROUND Small bowel obstruction(SBO)still imposes a substantial burden on the health care system.Traditional evaluation systems for SBO outcomes only focus on a single element.The comprehensive evaluation of outcomes for patients with SBO remains poorly studied.Early intensive clinical care would effectively improve the short-term outcomes for SBO,however,the full spectrum of the potential risk status regarding the high complication-cost burden is undetermined.AIM We aim to construct a novel system for the evaluation of SBO outcomes and the identification of potential risk status.METHODS Patients who were diagnosed with SBO were enrolled and stratified into the simple SBO(SiBO)group and the strangulated SBO(StBO)group.A principal component(PC)analysis was applied for data simplification and the extraction of patient characteristics,followed by separation of the high PC score group and the low PC score group.We identified independent risk status on admission via a binary logistic regression and then constructed predictive models for worsened management outcomes.Receiver operating characteristic curves were drawn,and the areas under the curve(AUCs)were calculated to assess the effectiveness of the predictive models.RESULTS Of the 281 patients,45 patients(16.0%)were found to have StBO,whereas 236 patients(84.0%)had SiBO.Regarding standardized length of stay(LOS),total hospital cost and the presence of severe adverse events(SAEs),a novel principal component was extracted(PC score=0.429×LOS+0.444×total hospital cost+0.291×SAE).In the multivariate analysis,risk statuses related to poor results for SiBO patients,including a low lymphocyte to monocyte ratio(OR=0.656),radiological features of a lack of small bowel feces signs(OR=0.316)and mural thickening(OR=1.338),were identified as risk factors.For the StBO group,higher BUN levels(OR=1.478)and lower lymphocytes levels(OR=0.071)were observed.The AUCs of the predictive models for poor outcomes were 0.715(95%CI:0.635-0.795)and 0.874(95%CI:0.762-0.986)for SiBO and StBO stratification,respectively.CONCLUSION The novel PC indicator provided a comprehensive scoring system for evaluating SBO outcomes on the foundation of complication-cost burden.According to the relative risk factors,early tailored intervention would improve the short-term outcomes.展开更多
基金The Cultivation Fund of the Key Scientific and Technical Innovation Project from Ministry of Education of China(No706024)International Science Cooperation Foundation of Shanghai ( No061307041)Specialized Research Fund for the Doctoral Program of Higher Education from Ministry of Education of China (No20060255006)
文摘Exercise is a highly proven and beneficial health promotion modality, But it is very difficult to determine whether the person during exercise is safe. A unique and comprehensive approach is proposed to perform physical exercise risk evaluation (PERE), in which personalized factors are deterrrdned basing on grey correlation analysis, analytic hierarchy process (AHP) method is used to structure the large numbers of risk factors, and fuzzy comprehensive evaluation (FCE) is applied to fuzzify the factors and compute the exercise risk level. Finally, an actual calculation example is used to verify the feasibility of the method.
文摘Vietnam has become a major market for construction enterprises from East Asian countries, especially from China, to participate in international project contracting, but serious schedule delays have important adverse effects on local government and foreign investment companies. Based on international engineering contracting mode of Vietnam highway BOT construction projects, we discussed the drive financial factors of schedule delays, using the methods of exploratory factor analysis and questionnaire survey, and evaluated the effects of various factors which are through regression analysis. The empirical results show that the five categories of financial factors, including the policy change, slow payment, financial mismanagement, financial market changes and lack of fiscal, have significant effects on schedule delay. Furtherly, we suggested that strengthening policy research and improving financial management ability should be used to reduce the influence of relevant financial factors on schedule delay, to improve the profitability of international businesses and the motivation of foreign enterprises to participate in Vietnam highway project.
文摘为从系统整体角度完成对起落架收放系统的风险辨识和影响分析,将系统理论过程分析(Systematic Theory Process Analysis,STPA)与决策实验室分析-解释结构模型(Decision Making Trial and Evaluation Laboratory Interpretive Structural Modeling,DEMATEL-ISM)相结合来开展分析。首先,定义事故和系统级危险,以民机进近阶段放下起落架为例,运用STPA完成对风险因素的系统化辨识;其次,基于最大平均熵减(Maximum Mean De-entropy,MMDE)算法帮助DEMATEL-ISM模型确定阈值,完成对风险因素影响的重要性分析并识别可能引发系统级危险的风险传递路径,据此挖掘关键致因场景,以给出风险预防建议。结果显示:线路性能退化或失效、位置作动控制组件(Position Action Control Unit,PACU)核心处理器故障为关键原因因素,收放作动筒作动异常、机组成员操作不当、起落架指示灯显示异常、起落架液压选择阀作动异常、PACU信息接收有误为关键结果因素,这些因素均涉及多条可能引发系统级危险的风险传递路径,应予以重点控制。
文摘The paper describes a simplified GIS approach, for landslides risk assessment in the Province of Bergamo, developed for a GIS degree thesis at the faculty of Engineering of the University of Bergamo. The subject has been and still is largely studied by many researchers with the aid of rigorous mathematical/statistical analysis tools. This work follows some procedures carried out by other studies, but at the end it has been decided to adopt a simple, fast and not rigorous way to find a solution. A following analysis, on the higher risk areas identified, has also been performed to test their reliability, allowing achieving satisfactory results. It has been planned to study the risk model more thoroughly, by taking into account other triggering causes for landslide susceptibility and to try also a rigorous approach, so as to get a better idea of the results achieved so far and how to improve them.
文摘The present paper deals with development of a course evaluation survey (CES) questionnaire regarding evaluation of humanities courses (e.g., Commerce/Economics/Law) and assessment of its validity and reliability. Taking help from available questionnaires and also incorporating views from the teachers of the related subjects, the relevant Likert type items were selected. The drafted version of the questionnaire was finalized taking into account feedback from the subject experts. The focus was on simple language to ensure clarity to the students to facilitate accuracy of the collected data. The developed questionnaire consists of five domains involving fifteen Likert type items including a global item. For assessment of its reliability and validity, data were collected among two groups of undergraduate students studying two courses namely Accounts (n = 190) and Law (n = 90). For assessing questionnaire, Karl Pearson Correlation Coefficient, Cronbach’s Alpha coefficient and four factor solutions under factor analysis were used. The analytical results were quite consistent across the data sets (that are, accounts, law and pooled together) that exhibit good psychometric properties. It may thus be concluded that the questionnaire is valid, reliable and may measure what it is intended to measure.
基金This work was financially supported by National Natural Science Foundation of China(41972262)Hebei Natural Science Foundation for Excellent Young Scholars(D2020504032)+1 种基金Central Plains Science and technology innovation leader Project(214200510030)Key research and development Project of Henan province(221111321500).
文摘Landslide is a serious natural disaster next only to earthquake and flood,which will cause a great threat to people’s lives and property safety.The traditional research of landslide disaster based on experience-driven or statistical model and its assessment results are subjective,difficult to quantify,and no pertinence.As a new research method for landslide susceptibility assessment,machine learning can greatly improve the landslide susceptibility model’s accuracy by constructing statistical models.Taking Western Henan for example,the study selected 16 landslide influencing factors such as topography,geological environment,hydrological conditions,and human activities,and 11 landslide factors with the most significant influence on the landslide were selected by the recursive feature elimination(RFE)method.Five machine learning methods[Support Vector Machines(SVM),Logistic Regression(LR),Random Forest(RF),Extreme Gradient Boosting(XGBoost),and Linear Discriminant Analysis(LDA)]were used to construct the spatial distribution model of landslide susceptibility.The models were evaluated by the receiver operating characteristic curve and statistical index.After analysis and comparison,the XGBoost model(AUC 0.8759)performed the best and was suitable for dealing with regression problems.The model had a high adaptability to landslide data.According to the landslide susceptibility map of the five models,the overall distribution can be observed.The extremely high and high susceptibility areas are distributed in the Funiu Mountain range in the southwest,the Xiaoshan Mountain range in the west,and the Yellow River Basin in the north.These areas have large terrain fluctuations,complicated geological structural environments and frequent human engineering activities.The extremely high and highly prone areas were 12043.3 km^(2)and 3087.45 km^(2),accounting for 47.61%and 12.20%of the total area of the study area,respectively.Our study reflects the distribution of landslide susceptibility in western Henan Province,which provides a scientific basis for regional disaster warning,prediction,and resource protection.The study has important practical significance for subsequent landslide disaster management.
基金Supported by Joint Funds for the innovation of science and Technology,Fujian Province,No.2018Y9054Young and Middle-Aged Talents Backbone Program of Fujian Province,No.2020GGA034The Construction Project of Fujian Province Minimally Invasive Medical Center,No.[2021]76.
文摘BACKGROUND Small bowel obstruction(SBO)still imposes a substantial burden on the health care system.Traditional evaluation systems for SBO outcomes only focus on a single element.The comprehensive evaluation of outcomes for patients with SBO remains poorly studied.Early intensive clinical care would effectively improve the short-term outcomes for SBO,however,the full spectrum of the potential risk status regarding the high complication-cost burden is undetermined.AIM We aim to construct a novel system for the evaluation of SBO outcomes and the identification of potential risk status.METHODS Patients who were diagnosed with SBO were enrolled and stratified into the simple SBO(SiBO)group and the strangulated SBO(StBO)group.A principal component(PC)analysis was applied for data simplification and the extraction of patient characteristics,followed by separation of the high PC score group and the low PC score group.We identified independent risk status on admission via a binary logistic regression and then constructed predictive models for worsened management outcomes.Receiver operating characteristic curves were drawn,and the areas under the curve(AUCs)were calculated to assess the effectiveness of the predictive models.RESULTS Of the 281 patients,45 patients(16.0%)were found to have StBO,whereas 236 patients(84.0%)had SiBO.Regarding standardized length of stay(LOS),total hospital cost and the presence of severe adverse events(SAEs),a novel principal component was extracted(PC score=0.429×LOS+0.444×total hospital cost+0.291×SAE).In the multivariate analysis,risk statuses related to poor results for SiBO patients,including a low lymphocyte to monocyte ratio(OR=0.656),radiological features of a lack of small bowel feces signs(OR=0.316)and mural thickening(OR=1.338),were identified as risk factors.For the StBO group,higher BUN levels(OR=1.478)and lower lymphocytes levels(OR=0.071)were observed.The AUCs of the predictive models for poor outcomes were 0.715(95%CI:0.635-0.795)and 0.874(95%CI:0.762-0.986)for SiBO and StBO stratification,respectively.CONCLUSION The novel PC indicator provided a comprehensive scoring system for evaluating SBO outcomes on the foundation of complication-cost burden.According to the relative risk factors,early tailored intervention would improve the short-term outcomes.