In modern complex systems,real-time regression prediction plays a vital role in performance evaluation and risk warning.Nevertheless,existing methods still face challenges in maintaining stability and predictive accur...In modern complex systems,real-time regression prediction plays a vital role in performance evaluation and risk warning.Nevertheless,existing methods still face challenges in maintaining stability and predictive accuracy under complex conditions.To address these limitations,this study proposes an online prediction approach that integrates event tracking sensitivity analysis with machine learning.Specifically,a real-time event tracking sensitivity analysis method is employed to capture and quantify the impact of key events on system outputs.On this basis,a mutualinformation–based self-extraction mechanism is introduced to construct prior weights,which are then incorporated into a LightGBM prediction model.Furthermore,iterative optimization of the feature selection threshold is performed to enhance both stability and accuracy.Experiments on composite microsensor data demonstrate that the proposed method achieves robust and efficient real-time prediction,with potential extension to industrial monitoring and control applications.展开更多
The propagation of single-event effects(SEEs)on a Xilinx Zynq-7000 system on chip(SoC)was inves-tigated using heavy-ion microbeam radiation.The irradia-tion results reveal several functional blocks’sensitivity locati...The propagation of single-event effects(SEEs)on a Xilinx Zynq-7000 system on chip(SoC)was inves-tigated using heavy-ion microbeam radiation.The irradia-tion results reveal several functional blocks’sensitivity locations and cross sections,for instance,the arithmetic logic unit,register,D-cache,and peripheral,while irradi-ating the on-chip memory(OCM)region.Moreover,event tree analysis was executed based on the obtained microbeam irradiation results.This study quantitatively assesses the probabilities of SEE propagation from the OCM to other blocks in the SoC.展开更多
Background Prior randomized trials have shown reduced bleeding with bivalirudin compared with unfractionated heparin （UFH） in patients undergoing percutaneous coronary intervention （PCI）. However, it is not known ...Background Prior randomized trials have shown reduced bleeding with bivalirudin compared with unfractionated heparin （UFH） in patients undergoing percutaneous coronary intervention （PCI）. However, it is not known if this benefit is also present when UFH doses are more tightly controlled （as measured by activated clotting time, ACT）.展开更多
For event analysis,the information from both before and after the event can be crucial in certain scenarios.By incorporating a contextualized perspective in event analysis,analysts can gain deeper insights from the ev...For event analysis,the information from both before and after the event can be crucial in certain scenarios.By incorporating a contextualized perspective in event analysis,analysts can gain deeper insights from the events.We propose a contextualized visual analysis framework which enables the identification and interpretation of temporal patterns within and across multivariate events.The framework consists of a design of visual representation for multivariate event contexts,a data processing workflow to support the visualization,and a context-centered visual analysis system to facilitate the interactive exploration of temporal patterns.To demonstrate the applicability and effectiveness of our framework,we present case studies using real-world datasets from two different domains and an expert study conducted with experienced data analysts.展开更多
The paper conducts analysis on the causes of dangerous goods road transportation accidents by applying analytic technique of security system science - Event Tree Analysis （ETA）. By computing minimum cut and minimal ...The paper conducts analysis on the causes of dangerous goods road transportation accidents by applying analytic technique of security system science - Event Tree Analysis （ETA）. By computing minimum cut and minimal path set of event tree and the important level of elementary event, the paper elicits the results that the factors of causing road transportation accident are multiple and its hazard is great while the paper also elicits the sorting of structural important level of elementary event. The paper offers the security countermeasures for dangerous goods road transportation which plays a vital role in safeguarding dangerous goods road transportation security.展开更多
Background: Research suggests that a small number of persistent violent offenders are responsible for a majority of prison violence and tend to behave violently to a disproportionate amount. However, literature on pat...Background: Research suggests that a small number of persistent violent offenders are responsible for a majority of prison violence and tend to behave violently to a disproportionate amount. However, literature on patterns of violence in juvenile prisoners is limited. Method: In order to explore how subjects engage in violence while incarcerated in the juvenile prison system, the authors will examine both proximal and distal predictors of violent behavior among juveniles in custody. This study adds to the current empirical research by longitudinally examining dynamic risk factors of recurrent violent behavior across a population of juvenile prisoners (Mage = 16.21;94.8% male) in custody in the Romanian juvenile justice system, starting from their entry date until the end of the follow-up period (Me = 2 years). Results: Results from a series of repeated aggressive events survival analyses show evidence of a long-term deleterious association between pre-incarceration risk factors and poor developmental trajectory associated with violence. Adherence to destructive conduct in prison was consistently influenced by low ability to cope with the prison environment, although education level and family factors also mattered. Implications for prison professionals and forensic practitioners are presented. Conclusion: Recurring aggressive behavior is frequent for individuals who experience complex adverse experiences during childhood, suggesting that screening youths upon their admission into juvenile justice settings should include an assessment of their basic self-regulation needs. A greater focus on longitudinal studies may help improve the screening process and also follow the progress of each juvenile to warrant the efficacy of preventive programs in self-harm, according to their emerging needs.展开更多
In view of the common psychological problems of college students,this paper analyzed the current situation and problems of college students,and found that the management of mental health education is complex and diffi...In view of the common psychological problems of college students,this paper analyzed the current situation and problems of college students,and found that the management of mental health education is complex and difficult.A main reason is the lack of scientific method guidance.According to this phenomenon and the existing problems,using the event tree analysis(ETA),the qualitative and quantitative analysis,it found that emergency treatment is the most important link in mental health education management of college students,test education talk emergency four links missing and failure will lead to hidden danger.Finally,combined with the principle of education and management,and psychological principle,it proposed method for the event tree mental health education management.展开更多
Fennovoima is planning to build a new nuclear power plant unit-Hanhikivi 1, on a greenfield site in Northern Finland. A nearby maritime oil spill accident is one of the external events analysed in the probabilistic ri...Fennovoima is planning to build a new nuclear power plant unit-Hanhikivi 1, on a greenfield site in Northern Finland. A nearby maritime oil spill accident is one of the external events analysed in the probabilistic risk assessment of the plant. In the worst case, the oil could cause a loss of the ultimate heat sink by blocking the sea water intake screens. By considering the maritime traffic, oil transport and oil spill accident data in the Baltic Sea area, the annual probabilities of nearby, significant oil spills are evaluated. Event tree analysis is used to evaluate the probability that significant amount of oil enters the plant intake tunnel. The spill behaviour is considered, including oil spreading, dissolution, dispersion and movement due to wind and currents. In addition, oil combat measures including the use ofoil booms and skimmers are evaluated.展开更多
As a case of space-time interaction,near-repeat calculation indicates that when an event takes place at a certain location,its immediate geographical surroundings would face an increased risk of experiencing subsequen...As a case of space-time interaction,near-repeat calculation indicates that when an event takes place at a certain location,its immediate geographical surroundings would face an increased risk of experiencing subsequent events within a fairly short period of time.This paper presents an exploratory study that extends the investigation of the near-repeat phenomena to a series of space-time interaction,namely event chain calculation.Existing near-repeat tools can only deal with a limited amount of data due to computation constraints,let alone the event chain analysis.By deploying the modern accelerator technology and hybrid computer systems,this study demonstrates that large-scale near-repeat calculation or event chain analysis can be partially resolved through high-performance computing solutions to advance such a challenging statistical problem in both spatial analysis and crime geography.展开更多
基金financial support from the National Natural Science Foundation of China(Grants No.U2330206,No.U2230206,and No.62173068)the Natural Science Foundation of Guangxi Province(Grant No.AB24010157)+1 种基金the Sichuan Forestry and Grassland Bureau(Grant Nos.G202206012 and G202206012-2)Sichuan Science and Technology Program(Grant Nos.2024NSFSC1483,2024ZYD0156,2023NSFC1962,and DQ202412).
文摘In modern complex systems,real-time regression prediction plays a vital role in performance evaluation and risk warning.Nevertheless,existing methods still face challenges in maintaining stability and predictive accuracy under complex conditions.To address these limitations,this study proposes an online prediction approach that integrates event tracking sensitivity analysis with machine learning.Specifically,a real-time event tracking sensitivity analysis method is employed to capture and quantify the impact of key events on system outputs.On this basis,a mutualinformation–based self-extraction mechanism is introduced to construct prior weights,which are then incorporated into a LightGBM prediction model.Furthermore,iterative optimization of the feature selection threshold is performed to enhance both stability and accuracy.Experiments on composite microsensor data demonstrate that the proposed method achieves robust and efficient real-time prediction,with potential extension to industrial monitoring and control applications.
基金This work was supported by the National Natural Science Foundation of China(Nos.11575138,11835006,11690040,11690043,and 11705216)the Innovation Center of Radiation Application(No.KFZC2019050321)the China Scholarships Council program(No.201906280343).
文摘The propagation of single-event effects(SEEs)on a Xilinx Zynq-7000 system on chip(SoC)was inves-tigated using heavy-ion microbeam radiation.The irradia-tion results reveal several functional blocks’sensitivity locations and cross sections,for instance,the arithmetic logic unit,register,D-cache,and peripheral,while irradi-ating the on-chip memory(OCM)region.Moreover,event tree analysis was executed based on the obtained microbeam irradiation results.This study quantitatively assesses the probabilities of SEE propagation from the OCM to other blocks in the SoC.
文摘Background Prior randomized trials have shown reduced bleeding with bivalirudin compared with unfractionated heparin （UFH） in patients undergoing percutaneous coronary intervention （PCI）. However, it is not known if this benefit is also present when UFH doses are more tightly controlled （as measured by activated clotting time, ACT）.
基金supported by Natural Science Foundation of China(NSFC No.62472099 and No.62202105)Federal Ministry of Education and Research of Germany and the state of North-Rhine Westphalia as part of the Lamarr Institute for Machine Learning and Artificial Intelligence(Lamarr22B)by EU in project CrexData(grant agreement No.101092749).
文摘For event analysis,the information from both before and after the event can be crucial in certain scenarios.By incorporating a contextualized perspective in event analysis,analysts can gain deeper insights from the events.We propose a contextualized visual analysis framework which enables the identification and interpretation of temporal patterns within and across multivariate events.The framework consists of a design of visual representation for multivariate event contexts,a data processing workflow to support the visualization,and a context-centered visual analysis system to facilitate the interactive exploration of temporal patterns.To demonstrate the applicability and effectiveness of our framework,we present case studies using real-world datasets from two different domains and an expert study conducted with experienced data analysts.
文摘The paper conducts analysis on the causes of dangerous goods road transportation accidents by applying analytic technique of security system science - Event Tree Analysis （ETA）. By computing minimum cut and minimal path set of event tree and the important level of elementary event, the paper elicits the results that the factors of causing road transportation accident are multiple and its hazard is great while the paper also elicits the sorting of structural important level of elementary event. The paper offers the security countermeasures for dangerous goods road transportation which plays a vital role in safeguarding dangerous goods road transportation security.
文摘Background: Research suggests that a small number of persistent violent offenders are responsible for a majority of prison violence and tend to behave violently to a disproportionate amount. However, literature on patterns of violence in juvenile prisoners is limited. Method: In order to explore how subjects engage in violence while incarcerated in the juvenile prison system, the authors will examine both proximal and distal predictors of violent behavior among juveniles in custody. This study adds to the current empirical research by longitudinally examining dynamic risk factors of recurrent violent behavior across a population of juvenile prisoners (Mage = 16.21;94.8% male) in custody in the Romanian juvenile justice system, starting from their entry date until the end of the follow-up period (Me = 2 years). Results: Results from a series of repeated aggressive events survival analyses show evidence of a long-term deleterious association between pre-incarceration risk factors and poor developmental trajectory associated with violence. Adherence to destructive conduct in prison was consistently influenced by low ability to cope with the prison environment, although education level and family factors also mattered. Implications for prison professionals and forensic practitioners are presented. Conclusion: Recurring aggressive behavior is frequent for individuals who experience complex adverse experiences during childhood, suggesting that screening youths upon their admission into juvenile justice settings should include an assessment of their basic self-regulation needs. A greater focus on longitudinal studies may help improve the screening process and also follow the progress of each juvenile to warrant the efficacy of preventive programs in self-harm, according to their emerging needs.
文摘In view of the common psychological problems of college students,this paper analyzed the current situation and problems of college students,and found that the management of mental health education is complex and difficult.A main reason is the lack of scientific method guidance.According to this phenomenon and the existing problems,using the event tree analysis(ETA),the qualitative and quantitative analysis,it found that emergency treatment is the most important link in mental health education management of college students,test education talk emergency four links missing and failure will lead to hidden danger.Finally,combined with the principle of education and management,and psychological principle,it proposed method for the event tree mental health education management.
文摘Fennovoima is planning to build a new nuclear power plant unit-Hanhikivi 1, on a greenfield site in Northern Finland. A nearby maritime oil spill accident is one of the external events analysed in the probabilistic risk assessment of the plant. In the worst case, the oil could cause a loss of the ultimate heat sink by blocking the sea water intake screens. By considering the maritime traffic, oil transport and oil spill accident data in the Baltic Sea area, the annual probabilities of nearby, significant oil spills are evaluated. Event tree analysis is used to evaluate the probability that significant amount of oil enters the plant intake tunnel. The spill behaviour is considered, including oil spreading, dissolution, dispersion and movement due to wind and currents. In addition, oil combat measures including the use ofoil booms and skimmers are evaluated.
文摘As a case of space-time interaction,near-repeat calculation indicates that when an event takes place at a certain location,its immediate geographical surroundings would face an increased risk of experiencing subsequent events within a fairly short period of time.This paper presents an exploratory study that extends the investigation of the near-repeat phenomena to a series of space-time interaction,namely event chain calculation.Existing near-repeat tools can only deal with a limited amount of data due to computation constraints,let alone the event chain analysis.By deploying the modern accelerator technology and hybrid computer systems,this study demonstrates that large-scale near-repeat calculation or event chain analysis can be partially resolved through high-performance computing solutions to advance such a challenging statistical problem in both spatial analysis and crime geography.
