Rock bursts have become one of the most severe risks in underground coal mining and its early warning is an important component in the safety management. Microseismic(MS) monitoring is considered potentially as a powe...Rock bursts have become one of the most severe risks in underground coal mining and its early warning is an important component in the safety management. Microseismic(MS) monitoring is considered potentially as a powerful tool for the early warning of rock burst. In this study, an MS multi-parameter index system was established and the critical values of each index were estimated based on the normalized multi-information warning model of coal-rock dynamic failure. This index system includes bursting strain energy(BSE) index, time-space-magnitude independent information(TSMII) indices and timespace-magnitude compound information(TSMCI) indices. On the basis of this multi-parameter index system, a comprehensive analysis was conducted via introducing the R-value scoring method to calculate the weights of each index. To calibrate the multi-parameter index system and the associated comprehensive analysis, the weights of each index were first confirmed using historical MS data occurred in LW402102 of Hujiahe Coal Mine(China) over a period of four months. This calibrated comprehensive analysis of MS multi-parameter index system was then applied to pre-warn the occurrence of a subsequent rock burst incident in LW 402103. The results demonstrate that this multi-parameter index system combined with the comprehensive analysis are capable of quantitatively pre-warning rock burst risk.展开更多
Objective To examine if the variations at sea level would be able to predict subsequent susceptibility to acute altitude sickness in subjects upon a rapid ascent to high altitude.Methods One hundred and six Han nation...Objective To examine if the variations at sea level would be able to predict subsequent susceptibility to acute altitude sickness in subjects upon a rapid ascent to high altitude.Methods One hundred and six Han nationality male individuals were recruited to this research.Dynamic electrocardiogram,treadmill exercise test,echocardiography,routine blood examination and biochemical analysis were performed when subjects at sea level and entering the plateau respectively.Then multiple regression analysis was performed to construct a multiple linear regression equation using the Lake Louise Score as dependent variable to predict the risk factors at sea level related to acute mountain sickness(AMS).Results Approximately 49.05%of the individuals developed AMS.The tricuspid annular plane systolic excursion(22.0+2.66 vs.23.2+3.19 mm,t=l.998,P=0.048)was significantly lower in the AMS group at sea level,while count of eosinophil[(0.264+0.393)×109/L vs.(0.126+0.084)×109/L,t=-2.040,P—0.045],percentage of diflerences exceeding 50 ms between adjacent normal number of intervals(PNN50,9.66%±5.40%vs.6.98%±5.66%,t=-2.229,P=0.028)and heart rate variability triangle index(57.1+16.1 vs.50.6+12.7,t=-2.271,P=0.025)were significantly higher.After acute exposure to high altitude,C-reactive protein(0.098+0.103 vs.0.062+0.045 g/L,t=-2.132,P=0.037),aspartate aminotransferase(19.7+6.7275.17,3±3.95 U/L,t=-2.231,P=0.028)and creatinine(85.1±12.9 vs.77.7±11.2 mmol/L,t=3.162,P=0.002)were significantly higher in the AMS group,while alkaline phosphatase(71.7+18.2 vs.80.6+20.2 U/L,t=2.389,P=0.019),standard deviation of normal-to-normal RR intervals(126.5+35.9 vs.143.3+36.4 ms,t—2.320,P—0.022),ejection time(276.9+50.8 vs.313.8+48.9 ms,t—3.641,P—0.001)and heart rate variability triangle index(37.1+12.9 vs.41.9+11.1,t=2.O2O,P=0.047)were significantly lower.Using the Lake Louise Score as the dependent variable,prediction equation were established to estimate AMS:Lake Louise Score=3.783+0.281Xeosinophil-0.219Xalkaline phosphatase+O.O32XPNN50.Conclusions We elucidated the differences of pl^siological variables as well as noninvasive cardiovascular indicators for subjects after high altitude exposure compared with those at sea level.We also created an acute high altitude reaction early warning equation based on the physiological variables and noninvasive cardiovascular indicators at sea level.展开更多
This paper demonstrates the status quo and the development of strategic objectives for the prOtection provided by geographical indications in Hebei Province. Eight main items of policy and measures are presented conce...This paper demonstrates the status quo and the development of strategic objectives for the prOtection provided by geographical indications in Hebei Province. Eight main items of policy and measures are presented concerning the sustainable development of agriculture and the protection offered by geographical indications.展开更多
Critical transitions and tipping phenomena between two meta-stable states in stochastic dynamical systems are a scientific issue.In this work,we expand the methodology of identifying the most probable transition pathw...Critical transitions and tipping phenomena between two meta-stable states in stochastic dynamical systems are a scientific issue.In this work,we expand the methodology of identifying the most probable transition pathway between two meta-stable states with Onsager±Machlup action functional,to investigate the evolutionary transition dynamics between two meta-stable invariant sets with Schrödinger bridge.In contrast to existing methodologies such as statistical analysis,bifurcation theory,information theory,statistical physics,topology,and graph theory for early warning indicators,we introduce a novel framework on Early Warning Signals (EWS) within the realm of probability measures that align with the entropy production rate.To validate our framework,we apply it to the Morris±Lecar model and investigate the transition dynamics between a meta-stable state and a stable invariant set (the limit cycle or homoclinic orbit) under various conditions.Additionally,we analyze real Alzheimer’s data from the Alzheimer’s Disease Neuroimaging Initiative database to explore EWS indicating the transition from healthy to pre-AD states.This framework not only expands the transition pathway to encompass measures between two specified densities on invariant sets,but also demonstrates the potential of our early warning indicators for complex diseases.展开更多
Objective: The assessment indicators of postpartum hemorrhage(PPH) were systematically reviewed to explore their relationship with blood loss as an early warning sign to identify potential PPH for prompt intervention....Objective: The assessment indicators of postpartum hemorrhage(PPH) were systematically reviewed to explore their relationship with blood loss as an early warning sign to identify potential PPH for prompt intervention.Methods: A systematic literature search of 9 databases was conducted according to inclusion and exclusion criteria using a comprehensive strategy. Strengthening the Reporting of Observational Studies in Epidemiology(STROBE) strategy was chosen as the tool for quality assessment of included studies, and data concerning the basic study characteristics and assessment indicators were extracted.Results: Eleven studies were included in this review. The assessment indicators in different reports covered heart rate, blood pressure, placental and birth canal check, hemoglobin(Hb), hematocrit(HCT),coagulation function tests, hemodynamic parameters and arterial blood gas, but no data on the assessment of postpartum uterine contraction were found. The relationship between indicators and blood loss varies.The overall quality of 9 manuscripts was comparatively high or moderate, and 2 were rated as low.Conclusions: The association between blood loss and clinical symptoms is not conclusive based on the present studies, and specific cut-off points could not be formulated to determine the approximate amount of blood loss. However, some cut-off points can be considered warning signs for the need of advanced interventions, such as heart rate, prothrombin time, and placental implantation. Further research on comprehensive assessment and cut-off points should be performed such that birth attendants can distinguish PPH as early as possible.展开更多
The assessment and analysis of railway infra structure capacity is an essential task in railway infra structure management carried out to meet the required quality and capacity demand of railway transport. For sustain...The assessment and analysis of railway infra structure capacity is an essential task in railway infra structure management carried out to meet the required quality and capacity demand of railway transport. For sustainable and dependable infrastructure management, it is important to assess railway capacity limitation from the point of view of infrastructure performance. However, the existence of numerous performance indicators often leads to diffused information that is not in a format suitable to support decision making. In this paper, we demonstrated the use of fuzzy inference system for aggregating selected railway infrastructure performance indicators to relate maintenance function to capacity situation. The selected indicators consider the safety, comfort, punctuality and reliability aspects of railway infrastructure performance. The resulting composite indicator gives a reliable quanti fication of the health condition or integrity of railway lines. A case study of the assessment of overall infrastructure performance which is an indication of capacity limitation is presented using indicator data between 2010 and 2012 for five lines on the network of Trafikverket （Swedish Trans port Administration）. The results are presented using cus tomised performance dashboard for enhanced visualisation,quick understanding and relevant comparison structure conditions for strategic management. This gives additional information on capacity status and limitation from maintenance management perspective.展开更多
基金provided by the State Key Research Development Program of China (No.2016YFC0801403)Key Research Development Program of Jiangsu Provence (No.BE2015040)+1 种基金National Natural Science Foundation of China (Nos.51674253,51734009 and 51604270)Natural Science Foundation of Jiangsu Province (No.BK20171191)
文摘Rock bursts have become one of the most severe risks in underground coal mining and its early warning is an important component in the safety management. Microseismic(MS) monitoring is considered potentially as a powerful tool for the early warning of rock burst. In this study, an MS multi-parameter index system was established and the critical values of each index were estimated based on the normalized multi-information warning model of coal-rock dynamic failure. This index system includes bursting strain energy(BSE) index, time-space-magnitude independent information(TSMII) indices and timespace-magnitude compound information(TSMCI) indices. On the basis of this multi-parameter index system, a comprehensive analysis was conducted via introducing the R-value scoring method to calculate the weights of each index. To calibrate the multi-parameter index system and the associated comprehensive analysis, the weights of each index were first confirmed using historical MS data occurred in LW402102 of Hujiahe Coal Mine(China) over a period of four months. This calibrated comprehensive analysis of MS multi-parameter index system was then applied to pre-warn the occurrence of a subsequent rock burst incident in LW 402103. The results demonstrate that this multi-parameter index system combined with the comprehensive analysis are capable of quantitatively pre-warning rock burst risk.
基金National Science and Technology Major Projects for Major New Drugs Innovation and Development(2014ZX09J14102-02A)Special Topic on Military Health Care(17bjz41)National Natural Science Foundation of China(81170249 and 30700305).
文摘Objective To examine if the variations at sea level would be able to predict subsequent susceptibility to acute altitude sickness in subjects upon a rapid ascent to high altitude.Methods One hundred and six Han nationality male individuals were recruited to this research.Dynamic electrocardiogram,treadmill exercise test,echocardiography,routine blood examination and biochemical analysis were performed when subjects at sea level and entering the plateau respectively.Then multiple regression analysis was performed to construct a multiple linear regression equation using the Lake Louise Score as dependent variable to predict the risk factors at sea level related to acute mountain sickness(AMS).Results Approximately 49.05%of the individuals developed AMS.The tricuspid annular plane systolic excursion(22.0+2.66 vs.23.2+3.19 mm,t=l.998,P=0.048)was significantly lower in the AMS group at sea level,while count of eosinophil[(0.264+0.393)×109/L vs.(0.126+0.084)×109/L,t=-2.040,P—0.045],percentage of diflerences exceeding 50 ms between adjacent normal number of intervals(PNN50,9.66%±5.40%vs.6.98%±5.66%,t=-2.229,P=0.028)and heart rate variability triangle index(57.1+16.1 vs.50.6+12.7,t=-2.271,P=0.025)were significantly higher.After acute exposure to high altitude,C-reactive protein(0.098+0.103 vs.0.062+0.045 g/L,t=-2.132,P=0.037),aspartate aminotransferase(19.7+6.7275.17,3±3.95 U/L,t=-2.231,P=0.028)and creatinine(85.1±12.9 vs.77.7±11.2 mmol/L,t=3.162,P=0.002)were significantly higher in the AMS group,while alkaline phosphatase(71.7+18.2 vs.80.6+20.2 U/L,t=2.389,P=0.019),standard deviation of normal-to-normal RR intervals(126.5+35.9 vs.143.3+36.4 ms,t—2.320,P—0.022),ejection time(276.9+50.8 vs.313.8+48.9 ms,t—3.641,P—0.001)and heart rate variability triangle index(37.1+12.9 vs.41.9+11.1,t=2.O2O,P=0.047)were significantly lower.Using the Lake Louise Score as the dependent variable,prediction equation were established to estimate AMS:Lake Louise Score=3.783+0.281Xeosinophil-0.219Xalkaline phosphatase+O.O32XPNN50.Conclusions We elucidated the differences of pl^siological variables as well as noninvasive cardiovascular indicators for subjects after high altitude exposure compared with those at sea level.We also created an acute high altitude reaction early warning equation based on the physiological variables and noninvasive cardiovascular indicators at sea level.
文摘This paper demonstrates the status quo and the development of strategic objectives for the prOtection provided by geographical indications in Hebei Province. Eight main items of policy and measures are presented concerning the sustainable development of agriculture and the protection offered by geographical indications.
基金National Key Research and Development Program of China,Grant/Award Number:2021ZD0201300National Natural Science Foundation of China,Grant/Award Numbers:12401233,12141107+2 种基金Guangdong Provincial Key Laboratory of Mathematical and Neural Dynamical Systems,Grant/Award Number:2024B1212010004Cross Disciplinary Research Team on Data Science and Intelligent Medicine,Grant/Award Number:2023KCXTD054Guangdong-Dongguan Joint Research,Grant/Award Number:2023A1515140016。
文摘Critical transitions and tipping phenomena between two meta-stable states in stochastic dynamical systems are a scientific issue.In this work,we expand the methodology of identifying the most probable transition pathway between two meta-stable states with Onsager±Machlup action functional,to investigate the evolutionary transition dynamics between two meta-stable invariant sets with Schrödinger bridge.In contrast to existing methodologies such as statistical analysis,bifurcation theory,information theory,statistical physics,topology,and graph theory for early warning indicators,we introduce a novel framework on Early Warning Signals (EWS) within the realm of probability measures that align with the entropy production rate.To validate our framework,we apply it to the Morris±Lecar model and investigate the transition dynamics between a meta-stable state and a stable invariant set (the limit cycle or homoclinic orbit) under various conditions.Additionally,we analyze real Alzheimer’s data from the Alzheimer’s Disease Neuroimaging Initiative database to explore EWS indicating the transition from healthy to pre-AD states.This framework not only expands the transition pathway to encompass measures between two specified densities on invariant sets,but also demonstrates the potential of our early warning indicators for complex diseases.
基金supported by Shanghai Nursing Association(No.2016SD-B03)
文摘Objective: The assessment indicators of postpartum hemorrhage(PPH) were systematically reviewed to explore their relationship with blood loss as an early warning sign to identify potential PPH for prompt intervention.Methods: A systematic literature search of 9 databases was conducted according to inclusion and exclusion criteria using a comprehensive strategy. Strengthening the Reporting of Observational Studies in Epidemiology(STROBE) strategy was chosen as the tool for quality assessment of included studies, and data concerning the basic study characteristics and assessment indicators were extracted.Results: Eleven studies were included in this review. The assessment indicators in different reports covered heart rate, blood pressure, placental and birth canal check, hemoglobin(Hb), hematocrit(HCT),coagulation function tests, hemodynamic parameters and arterial blood gas, but no data on the assessment of postpartum uterine contraction were found. The relationship between indicators and blood loss varies.The overall quality of 9 manuscripts was comparatively high or moderate, and 2 were rated as low.Conclusions: The association between blood loss and clinical symptoms is not conclusive based on the present studies, and specific cut-off points could not be formulated to determine the approximate amount of blood loss. However, some cut-off points can be considered warning signs for the need of advanced interventions, such as heart rate, prothrombin time, and placental implantation. Further research on comprehensive assessment and cut-off points should be performed such that birth attendants can distinguish PPH as early as possible.
基金financial support of Trafikverket and Lulea Railway Research Centre
文摘The assessment and analysis of railway infra structure capacity is an essential task in railway infra structure management carried out to meet the required quality and capacity demand of railway transport. For sustainable and dependable infrastructure management, it is important to assess railway capacity limitation from the point of view of infrastructure performance. However, the existence of numerous performance indicators often leads to diffused information that is not in a format suitable to support decision making. In this paper, we demonstrated the use of fuzzy inference system for aggregating selected railway infrastructure performance indicators to relate maintenance function to capacity situation. The selected indicators consider the safety, comfort, punctuality and reliability aspects of railway infrastructure performance. The resulting composite indicator gives a reliable quanti fication of the health condition or integrity of railway lines. A case study of the assessment of overall infrastructure performance which is an indication of capacity limitation is presented using indicator data between 2010 and 2012 for five lines on the network of Trafikverket （Swedish Trans port Administration）. The results are presented using cus tomised performance dashboard for enhanced visualisation,quick understanding and relevant comparison structure conditions for strategic management. This gives additional information on capacity status and limitation from maintenance management perspective.
