An accurate and objective assessment of the health status of EMU trains is of great importance.In order to make sure the trains are functional,reliable,and endurable in their full life cycle(FLC),health assessment met...An accurate and objective assessment of the health status of EMU trains is of great importance.In order to make sure the trains are functional,reliable,and endurable in their full life cycle(FLC),health assessment method for EMU trains after Level 3-5 maintenance and repair is studied.First,the element-selection principles and the assessment rules are defined;second,to present the complex topological relationship between the elements in assessment,a functional logical structure construction method is proposed;third,a health value calculation model is defined based on the element’s characteristics and their logical structures.The health variables of each element is calculated and fitted following the steps in the corresponding weight calculation methods.The assessment method is proved to be applicable and effective.展开更多
Structural development defects essentially refer to code structure that violates object-oriented design principles. They make program maintenance challenging and deteriorate software quality over time. Various detecti...Structural development defects essentially refer to code structure that violates object-oriented design principles. They make program maintenance challenging and deteriorate software quality over time. Various detection approaches, ranging from traditional heuristic algorithms to machine learning methods, are used to identify these defects. Ensemble learning methods have strengthened the detection of these defects. However, existing approaches do not simultaneously exploit the capabilities of extracting relevant features from pre-trained models and the performance of neural networks for the classification task. Therefore, our goal has been to design a model that combines a pre-trained model to extract relevant features from code excerpts through transfer learning and a bagging method with a base estimator, a dense neural network, for defect classification. To achieve this, we composed multiple samples of the same size with replacements from the imbalanced dataset MLCQ1. For all the samples, we used the CodeT5-small variant to extract features and trained a bagging method with the neural network Roberta Classification Head to classify defects based on these features. We then compared this model to RandomForest, one of the ensemble methods that yields good results. Our experiments showed that the number of base estimators to use for bagging depends on the defect to be detected. Next, we observed that it was not necessary to use a data balancing technique with our model when the imbalance rate was 23%. Finally, for blob detection, RandomForest had a median MCC value of 0.36 compared to 0.12 for our method. However, our method was predominant in Long Method detection with a median MCC value of 0.53 compared to 0.42 for RandomForest. These results suggest that the performance of ensemble methods in detecting structural development defects is dependent on specific defects.展开更多
动脉粥样硬化是心血管疾病重要的病理生理基础,延缓和防治动脉粥样硬化对于减少和降低心血管疾病的发病率及病死率具有重要意义。高密度脂蛋白(high density lipoprotein,HDL)通过参与介导胆固醇逆向转运(reverse cholesterol transport...动脉粥样硬化是心血管疾病重要的病理生理基础,延缓和防治动脉粥样硬化对于减少和降低心血管疾病的发病率及病死率具有重要意义。高密度脂蛋白(high density lipoprotein,HDL)通过参与介导胆固醇逆向转运(reverse cholesterol transport,RCT)在抗动脉粥样硬化的形成和进展中发挥了重要作用。Preβ-1高密度脂蛋白(prebeta-1 high density lipoprotein,Preβ-1HDL)作为HDL的一种亚类,是外周细胞移出胆固醇的最初接受体,直接参与了RCT的起始步骤,并在随后的胆固醇酯化及转运中起着重要作用。本文就Preβ-1HDL的结构、代谢及其与心血管疾病的关系作一简要综述。展开更多
针对无人机系统组成结构复杂、影响其可靠性可用性的维修保障因素较多的问题,基于设备寿命分布假设,构建了考虑预防性维修和起飞前故障检查的系统平均故障间隔时间(mean time between failures,MTBF)和使用可用度解析模型。并模拟无人...针对无人机系统组成结构复杂、影响其可靠性可用性的维修保障因素较多的问题,基于设备寿命分布假设,构建了考虑预防性维修和起飞前故障检查的系统平均故障间隔时间(mean time between failures,MTBF)和使用可用度解析模型。并模拟无人机的维修过程,采用蒙特卡罗仿真的方法进行MTBF和使用可用度的仿真分析。解析与仿真两种方法的结果具有较好的一致性,可为无人机确定保障方案提供技术途径。展开更多
AIM： To assess the value of long-chain w-3 fatty acids （FAs） supplementation in addition to amino-salicylic-acid （5-ASA） in pediatric patients with Crohn＇s disease （CD）. METHODS： Thirty-eight patients （20 ma...AIM： To assess the value of long-chain w-3 fatty acids （FAs） supplementation in addition to amino-salicylic-acid （5-ASA） in pediatric patients with Crohn＇s disease （CD）. METHODS： Thirty-eight patients （20 males and 18 females, mean age 10.13 years, range 5-16 years） with CD in remission were randomized into two groups and treated for 12 too. Group Ⅰ （18 patients） received 5-ASA （50 mg/kg/d）＋w-3 FAs as triglycerides in gastroresistant capsules, 3 g/d （eicosapentanoic acid, EPA, 400 mg/g, docosahexaenoic acid, DHA, 200 mg/g）. Group Ⅱ （20 patients） received 5-ASA （50 mg/kg/d）＋olive oil placebo capsules. Patients were evaluated for fatty acid incorporation in red blood cell membranes by gas chromatography at baseline 6 and 12 mo after the treatment. RESULTS： The number of patients who relapsed at 1 year was significantly lower in group I than in group Ⅱ （P〈0.001）. Patients in group I had a significant increase in the incorporation of EPA and DHA （P〈0.001） and a decrease in the presence of arachidonic acids. CONCLUSION： Enteric-coated w-3 FAs in addition to treatment with 5-ASA are effective in maintaining remission of pediatric CD.展开更多
文摘An accurate and objective assessment of the health status of EMU trains is of great importance.In order to make sure the trains are functional,reliable,and endurable in their full life cycle(FLC),health assessment method for EMU trains after Level 3-5 maintenance and repair is studied.First,the element-selection principles and the assessment rules are defined;second,to present the complex topological relationship between the elements in assessment,a functional logical structure construction method is proposed;third,a health value calculation model is defined based on the element’s characteristics and their logical structures.The health variables of each element is calculated and fitted following the steps in the corresponding weight calculation methods.The assessment method is proved to be applicable and effective.
文摘Structural development defects essentially refer to code structure that violates object-oriented design principles. They make program maintenance challenging and deteriorate software quality over time. Various detection approaches, ranging from traditional heuristic algorithms to machine learning methods, are used to identify these defects. Ensemble learning methods have strengthened the detection of these defects. However, existing approaches do not simultaneously exploit the capabilities of extracting relevant features from pre-trained models and the performance of neural networks for the classification task. Therefore, our goal has been to design a model that combines a pre-trained model to extract relevant features from code excerpts through transfer learning and a bagging method with a base estimator, a dense neural network, for defect classification. To achieve this, we composed multiple samples of the same size with replacements from the imbalanced dataset MLCQ1. For all the samples, we used the CodeT5-small variant to extract features and trained a bagging method with the neural network Roberta Classification Head to classify defects based on these features. We then compared this model to RandomForest, one of the ensemble methods that yields good results. Our experiments showed that the number of base estimators to use for bagging depends on the defect to be detected. Next, we observed that it was not necessary to use a data balancing technique with our model when the imbalance rate was 23%. Finally, for blob detection, RandomForest had a median MCC value of 0.36 compared to 0.12 for our method. However, our method was predominant in Long Method detection with a median MCC value of 0.53 compared to 0.42 for RandomForest. These results suggest that the performance of ensemble methods in detecting structural development defects is dependent on specific defects.
文摘动脉粥样硬化是心血管疾病重要的病理生理基础,延缓和防治动脉粥样硬化对于减少和降低心血管疾病的发病率及病死率具有重要意义。高密度脂蛋白(high density lipoprotein,HDL)通过参与介导胆固醇逆向转运(reverse cholesterol transport,RCT)在抗动脉粥样硬化的形成和进展中发挥了重要作用。Preβ-1高密度脂蛋白(prebeta-1 high density lipoprotein,Preβ-1HDL)作为HDL的一种亚类,是外周细胞移出胆固醇的最初接受体,直接参与了RCT的起始步骤,并在随后的胆固醇酯化及转运中起着重要作用。本文就Preβ-1HDL的结构、代谢及其与心血管疾病的关系作一简要综述。
文摘针对无人机系统组成结构复杂、影响其可靠性可用性的维修保障因素较多的问题,基于设备寿命分布假设,构建了考虑预防性维修和起飞前故障检查的系统平均故障间隔时间(mean time between failures,MTBF)和使用可用度解析模型。并模拟无人机的维修过程,采用蒙特卡罗仿真的方法进行MTBF和使用可用度的仿真分析。解析与仿真两种方法的结果具有较好的一致性,可为无人机确定保障方案提供技术途径。
文摘AIM： To assess the value of long-chain w-3 fatty acids （FAs） supplementation in addition to amino-salicylic-acid （5-ASA） in pediatric patients with Crohn＇s disease （CD）. METHODS： Thirty-eight patients （20 males and 18 females, mean age 10.13 years, range 5-16 years） with CD in remission were randomized into two groups and treated for 12 too. Group Ⅰ （18 patients） received 5-ASA （50 mg/kg/d）＋w-3 FAs as triglycerides in gastroresistant capsules, 3 g/d （eicosapentanoic acid, EPA, 400 mg/g, docosahexaenoic acid, DHA, 200 mg/g）. Group Ⅱ （20 patients） received 5-ASA （50 mg/kg/d）＋olive oil placebo capsules. Patients were evaluated for fatty acid incorporation in red blood cell membranes by gas chromatography at baseline 6 and 12 mo after the treatment. RESULTS： The number of patients who relapsed at 1 year was significantly lower in group I than in group Ⅱ （P〈0.001）. Patients in group I had a significant increase in the incorporation of EPA and DHA （P〈0.001） and a decrease in the presence of arachidonic acids. CONCLUSION： Enteric-coated w-3 FAs in addition to treatment with 5-ASA are effective in maintaining remission of pediatric CD.
