This study develops new real-time freeway rear-end crash potential predictors using support vector machine(SVM) technique. The relationship between rear-end crash occurrences and traffic conditions were explored using...This study develops new real-time freeway rear-end crash potential predictors using support vector machine(SVM) technique. The relationship between rear-end crash occurrences and traffic conditions were explored using historical loop detector data from Interstate-894 in Milwaukee, Wisconsin, USA. The extracted loop detection data were aggregated over different stations and time intervals to produce explanatory features. A feature selection process, which addresses the interaction between SVM classifiers and explanatory features, was adopted to identify the features that significantly influence rear-end crashes. Afterwards, the identified significant explanatory features over three separate time levels were used to train three SVM models. In the end, the multi-layer perceptron(MLP) artificial neural network models were used as benchmarks to evaluate the performance of SVM models. The results show that the proposed feature selection procedure greatly enhances the accuracy and generalization capability of SVM models. Moreover, the optimal SVM classifier achieves 81.1% overall prediction precision rate. In comparison with MLP artificial neural networks, SVM models provide better results in terms of crash prediction accuracy and false positive rate, which confirms the superior performance of SVM technique in rear-end crash potential prediction analysis.展开更多
An AI-aided simulation system embedded in a model-based, aspiration-led decision support system NY-IEDSS is reported. The NY-IEDSS is designed for mid-term development strategic study of the Nanyang Region in Henan, C...An AI-aided simulation system embedded in a model-based, aspiration-led decision support system NY-IEDSS is reported. The NY-IEDSS is designed for mid-term development strategic study of the Nanyang Region in Henan, China, and is getting beyond its prototype stage under the decision maker's (the end user) orientation. The integration of simulation model system, decision analysis and expert system for decision support in the system implementation was reviewed. The intent of the paper is to provide insight as to how system capability and acceptability can be enhanced by this integration. Moreover, emphasis is placed on problem orientation in applying the method.展开更多
Using vector-analysis, three kinds of roof blocks at the end face of fully mechanized long wall faces have been studied. Tbe result indicates that with face advancing, the three kinds of blocks may all become key bloc...Using vector-analysis, three kinds of roof blocks at the end face of fully mechanized long wall faces have been studied. Tbe result indicates that with face advancing, the three kinds of blocks may all become key blocks. It is put forward that the key blocks can reach into the scope of angle of fracture through supporting, and the fomulas for calculating supporting force needed for the three key blocks to maintain stadility have been derived.展开更多
Real-time video transport over wireless Internet faces many challenges due to the heterogeneous environment including wireline and wireless networks. A robust network condition classification algorithm using multiple ...Real-time video transport over wireless Internet faces many challenges due to the heterogeneous environment including wireline and wireless networks. A robust network condition classification algorithm using multiple end-to-end metrics and Support Vector Machine (SVM) is proposed to classify different network events and model the transition pattern of network conditions. End-to-end Quality-of-Service (QoS) mechanisms like congestion control, error control, and power control can benefit from the network condition information and react to different network situations appropriately. The proposed network condition classifica- tion algorithm uses SVM as a classifier to cluster different end-to-end metrics such as end-to-end delay, delay jitter, throughput and packet loss-rate for the UDP traffic with TCP-friendly Rate Control (TFRC), which is used for video transport. The algorithm is also flexible for classifying different numbers of states representing different levels of network events such as wireline congestion and wireless channel loss. Simulation results using network simulator 2 (ns2) showed the effectiveness of the proposed scheme.展开更多
Introduction: Extracorporeal Membrane Oxygenation (ECMO) is used in selected patient with cardiogenic and/or re- spiratory shock. We report our experience with standardized management protocols and the application of ...Introduction: Extracorporeal Membrane Oxygenation (ECMO) is used in selected patient with cardiogenic and/or re- spiratory shock. We report our experience with standardized management protocols and the application of the Qua- droxD oxygenator with a centrifugal pump to maximize end-organ recovery and improve survival. Methods: This is an Internal Review Board (IRB) approved, single institution retrospective study of end-organ recovery and survival in pa- tients who required ECMO for cardiogenic and/or respiratory shock between July 2010 and June 2011. Results: Sixteen patients (median age: 46 years) were initiated on either Veno-Arterial (VA) or Veno-Venous (VV) ECMO. Cardiogenic shock, acute respiratory distress syndrome (ARDS) and a combined respiratory and cardiogenic compromise were the primary indications for ECMO in 8 (50%), 5 (31%) and 3 (19%) patients respectively. The median time on ECMO was 8 days (range: 4 - 26 days). Twelve patients (75%) were successfully weaned off ECMO, of which four (25%) were bridged to a ventricular assist device (VAD) and eight (50%) were weaned to recovery. All eight patients (100%) that were weaned to recovery and two patients (50%) that were bridged to a VAD were successfully discharged from the hospital, resulting in a discharge rate of 63%. There was an improvement in pre- vs. post-ECMO AST (449 IU/L vs. 63 IU/L, p Conclusion: ECMO using the QuadroxD oxygenator and a centrifugal pump, coupled with standardized management protocols is beneficial in carefully selected patients. Improvement or main- tenance of end-organ function is associated with successful bridge to device therapy and/or increased survival.展开更多
目的系统评价终末期患者营养支持决策过程中患者、家属和医护人员的感受,为改善患者及家属决策体验提供新思路。方法计算机检索Cochrane图书馆、PubMed、Web of Science、Embase、中国知网、万方数据库、维普数据库中有关终末期患者营...目的系统评价终末期患者营养支持决策过程中患者、家属和医护人员的感受,为改善患者及家属决策体验提供新思路。方法计算机检索Cochrane图书馆、PubMed、Web of Science、Embase、中国知网、万方数据库、维普数据库中有关终末期患者营养支持决策过程、体验的质性研究或混合研究。检索时限为建库至2023年8月。基于JBI循证卫生保健中心推荐的PICoS模型确定文献,采用MAXDQA2022软件对纳入文献进行归类整合。结果共纳入10篇文献,提炼38个主题,归纳9个类别,最终形成4个整合结果:决策者的多维度思考得出结果;决策者迫切需要专业支持;决策者认知影响决策结果;决策者同样需要心理干预。结论终末期患者营养支持决策需要经过多方协商、沟通,关注决策者心理体验,必要时给予专业支持,改善患者及家属体验。展开更多
基金Project(BK20160685)supported by the Science Foundation of Jiangsu Province,ChinaProject(61620106002)supported by the National Natural Science Foundation of China
文摘This study develops new real-time freeway rear-end crash potential predictors using support vector machine(SVM) technique. The relationship between rear-end crash occurrences and traffic conditions were explored using historical loop detector data from Interstate-894 in Milwaukee, Wisconsin, USA. The extracted loop detection data were aggregated over different stations and time intervals to produce explanatory features. A feature selection process, which addresses the interaction between SVM classifiers and explanatory features, was adopted to identify the features that significantly influence rear-end crashes. Afterwards, the identified significant explanatory features over three separate time levels were used to train three SVM models. In the end, the multi-layer perceptron(MLP) artificial neural network models were used as benchmarks to evaluate the performance of SVM models. The results show that the proposed feature selection procedure greatly enhances the accuracy and generalization capability of SVM models. Moreover, the optimal SVM classifier achieves 81.1% overall prediction precision rate. In comparison with MLP artificial neural networks, SVM models provide better results in terms of crash prediction accuracy and false positive rate, which confirms the superior performance of SVM technique in rear-end crash potential prediction analysis.
文摘An AI-aided simulation system embedded in a model-based, aspiration-led decision support system NY-IEDSS is reported. The NY-IEDSS is designed for mid-term development strategic study of the Nanyang Region in Henan, China, and is getting beyond its prototype stage under the decision maker's (the end user) orientation. The integration of simulation model system, decision analysis and expert system for decision support in the system implementation was reviewed. The intent of the paper is to provide insight as to how system capability and acceptability can be enhanced by this integration. Moreover, emphasis is placed on problem orientation in applying the method.
文摘Using vector-analysis, three kinds of roof blocks at the end face of fully mechanized long wall faces have been studied. Tbe result indicates that with face advancing, the three kinds of blocks may all become key blocks. It is put forward that the key blocks can reach into the scope of angle of fracture through supporting, and the fomulas for calculating supporting force needed for the three key blocks to maintain stadility have been derived.
基金Project supported by the Croucher Foundation Fellowship fromHong Kong, China
文摘Real-time video transport over wireless Internet faces many challenges due to the heterogeneous environment including wireline and wireless networks. A robust network condition classification algorithm using multiple end-to-end metrics and Support Vector Machine (SVM) is proposed to classify different network events and model the transition pattern of network conditions. End-to-end Quality-of-Service (QoS) mechanisms like congestion control, error control, and power control can benefit from the network condition information and react to different network situations appropriately. The proposed network condition classifica- tion algorithm uses SVM as a classifier to cluster different end-to-end metrics such as end-to-end delay, delay jitter, throughput and packet loss-rate for the UDP traffic with TCP-friendly Rate Control (TFRC), which is used for video transport. The algorithm is also flexible for classifying different numbers of states representing different levels of network events such as wireline congestion and wireless channel loss. Simulation results using network simulator 2 (ns2) showed the effectiveness of the proposed scheme.
文摘Introduction: Extracorporeal Membrane Oxygenation (ECMO) is used in selected patient with cardiogenic and/or re- spiratory shock. We report our experience with standardized management protocols and the application of the Qua- droxD oxygenator with a centrifugal pump to maximize end-organ recovery and improve survival. Methods: This is an Internal Review Board (IRB) approved, single institution retrospective study of end-organ recovery and survival in pa- tients who required ECMO for cardiogenic and/or respiratory shock between July 2010 and June 2011. Results: Sixteen patients (median age: 46 years) were initiated on either Veno-Arterial (VA) or Veno-Venous (VV) ECMO. Cardiogenic shock, acute respiratory distress syndrome (ARDS) and a combined respiratory and cardiogenic compromise were the primary indications for ECMO in 8 (50%), 5 (31%) and 3 (19%) patients respectively. The median time on ECMO was 8 days (range: 4 - 26 days). Twelve patients (75%) were successfully weaned off ECMO, of which four (25%) were bridged to a ventricular assist device (VAD) and eight (50%) were weaned to recovery. All eight patients (100%) that were weaned to recovery and two patients (50%) that were bridged to a VAD were successfully discharged from the hospital, resulting in a discharge rate of 63%. There was an improvement in pre- vs. post-ECMO AST (449 IU/L vs. 63 IU/L, p Conclusion: ECMO using the QuadroxD oxygenator and a centrifugal pump, coupled with standardized management protocols is beneficial in carefully selected patients. Improvement or main- tenance of end-organ function is associated with successful bridge to device therapy and/or increased survival.
文摘目的系统评价终末期患者营养支持决策过程中患者、家属和医护人员的感受,为改善患者及家属决策体验提供新思路。方法计算机检索Cochrane图书馆、PubMed、Web of Science、Embase、中国知网、万方数据库、维普数据库中有关终末期患者营养支持决策过程、体验的质性研究或混合研究。检索时限为建库至2023年8月。基于JBI循证卫生保健中心推荐的PICoS模型确定文献,采用MAXDQA2022软件对纳入文献进行归类整合。结果共纳入10篇文献,提炼38个主题,归纳9个类别,最终形成4个整合结果:决策者的多维度思考得出结果;决策者迫切需要专业支持;决策者认知影响决策结果;决策者同样需要心理干预。结论终末期患者营养支持决策需要经过多方协商、沟通,关注决策者心理体验,必要时给予专业支持,改善患者及家属体验。
