Objective：To explore the most effective herbal combinations commonly used by highly experienced Chinese medicine（CM） physicians for the treatment of insomnia.Methods：We collected and analyzed data related to insom...Objective：To explore the most effective herbal combinations commonly used by highly experienced Chinese medicine（CM） physicians for the treatment of insomnia.Methods：We collected and analyzed data related to insomnia treatment from the clinics of 7 highly experienced CM physicians in Beijing.The sample included 162 patients and 460 consultations in total.Patient outcomes,such as sleep quality and sleep time per day,were manually collected from the medical records by trained CM clinicians.Three data mining methods,support vector machine（SVM）,logistic regression and decision tree,and multifactor dimensionality reduction（MDR）,were used to determine and confirm the herbal combinations that resulted in positive outcomes in patients suffering from insomnia.Results：Results show that MDR is the most efficient method to predict the effective herbal combinations.Using the MDR model,we identified several combinations of herbs with 100%positive outcomes,such as stir-fried spine date seed,Szechwan lovage rhizome,and prepared thinleaf milkwort root;white peony root,golden thread,and stir-fried spine date seed;and Asiatic cornelian cherry fruit with fresh rehmannia.Conclusions：Results indicate that herbal combinations are effective treatments for patients with insomnia compared with individual herbs.It is also shown that MDR is a potent data mining method to identify the herbal combination with high rates of positive outcome.展开更多
The loads acting on shield tunneling machines are basic parameters for the equipment design as well as key control parameters throughout the entire operation of the equipment. In the study, a mechanical analysis for t...The loads acting on shield tunneling machines are basic parameters for the equipment design as well as key control parameters throughout the entire operation of the equipment. In the study, a mechanical analysis for the coupled interactive system between the cutterhead and the ground at the excavation face is conducted. The normal and tangential loads acting on the cutterhead are decoupled and solved, with consideration of the influence of three key factors on loads: geological condition, operating status and equipment structure. Then analytical expressions for the thrust and the torque acting on the equipment under uniform geological condition are established. On this basis, the impact of soil-rock interbedded ground on acting loads is further considered. A theoretical model for loads prediction of earth pressure balance (EPB) shield machines working under soil-rock interbedded ground is proposed. This model is subsequently applied to loads prediction for a shield tunneling project under soil-rock interbedded ground. The computational value of the thrust and the torque, the measured loads and the load ranges from Krause empirical formula are compared. Thus, this model for loads prediction acting on shield tunneling machines under soil-rock interbedded ground has been proved to be effective.展开更多
To assist the Department of Emergency Management in understanding the overall risk characteristics and situation of an urban agglomeration for a reasonable risk prevention and control strategy,this study developed a c...To assist the Department of Emergency Management in understanding the overall risk characteristics and situation of an urban agglomeration for a reasonable risk prevention and control strategy,this study developed a comprehensive multi-hazard risk assessment model for an urban agglomeration with multiple factors.The proposed model includes disaster probability and disaster loss sub-models.The model evaluated four types of disaster risk in urban agglomerations:natural disasters,accidental disasters,public health incidents,and social security incidents.In addition,a variety of factors were integrated into the model,including the socioeconomic foundation of urban agglomerations,the oligopoly effect of core cities,historical disaster losses,the effect of disaster chains,the ability of disaster prevention and mitigation,and intercity coordinated rescue capabilities.Finally,the risk assessment model was applied to the Beijing-Tianjin-Hebei urban agglomeration.The assessment results were compared to the distribution of the new coronavirus pneumonia epidemic in the target urban agglomeration.The results showed that after analyzing the risk characteristics and evaluating the risk levels,the model not only showed the comprehensive risk levels and distribution of urban agglomerations but also revealed the high-risk areas and the key points of risk prevention and control.More importantly,the results obtained through the model can facilitate the strategic planning of disaster prevention and mitigation for urban agglomerations.展开更多
Objective This study aimed to explore the association of single nucleotide polymorphisms(SNP)in the matrix metalloproteinase 2(MMP-2)signaling pathway and the risk of vascular senescence(VS).Methods In this cross-sect...Objective This study aimed to explore the association of single nucleotide polymorphisms(SNP)in the matrix metalloproteinase 2(MMP-2)signaling pathway and the risk of vascular senescence(VS).Methods In this cross-sectional study,between May and November 2022,peripheral venous blood of151 VS patients(case group)and 233 volunteers(control group)were collected.Fourteen SNPs were identified in five genes encoding the components of the MMP-2 signaling pathway,assessed through carotid-femoral pulse wave velocity(cf PWV),and analyzed using multivariate logistic regression.The multigene influence on the risk of VS was assessed using multifactor dimensionality reduction(MDR)and generalized multifactor dimensionality regression(GMDR)modeling.Results Within the multivariate logistic regression models,four SNPs were screened to have significant associations with VS:chemokine(C-C motif)ligand 2(CCL2)rs4586,MMP2 rs14070,MMP2rs7201,and MMP2 rs1053605.Carriers of the T/C genotype of MMP2 rs14070 had a 2.17-fold increased risk of developing VS compared with those of the C/C genotype,and those of the T/T genotype had a19.375-fold increased risk.CCL2 rs4586 and MMP-2 rs14070 exhibited the most significant interactions.Conclusion CCL2 rs4586,MMP-2 rs14070,MMP-2 rs7201,and MMP-2 rs1053605 polymorphisms were significantly associated with the risk of VS.展开更多
基金Supported by Programmes of Beijing Municipal S&T Commission,China(No.D08050703020803, D08050703020804)China Key Technologies R&D Programme (No.2007BA110B06-01) National S&T Major Project(No. 2009ZX09301-005-010)
文摘Objective：To explore the most effective herbal combinations commonly used by highly experienced Chinese medicine（CM） physicians for the treatment of insomnia.Methods：We collected and analyzed data related to insomnia treatment from the clinics of 7 highly experienced CM physicians in Beijing.The sample included 162 patients and 460 consultations in total.Patient outcomes,such as sleep quality and sleep time per day,were manually collected from the medical records by trained CM clinicians.Three data mining methods,support vector machine（SVM）,logistic regression and decision tree,and multifactor dimensionality reduction（MDR）,were used to determine and confirm the herbal combinations that resulted in positive outcomes in patients suffering from insomnia.Results：Results show that MDR is the most efficient method to predict the effective herbal combinations.Using the MDR model,we identified several combinations of herbs with 100%positive outcomes,such as stir-fried spine date seed,Szechwan lovage rhizome,and prepared thinleaf milkwort root;white peony root,golden thread,and stir-fried spine date seed;and Asiatic cornelian cherry fruit with fresh rehmannia.Conclusions：Results indicate that herbal combinations are effective treatments for patients with insomnia compared with individual herbs.It is also shown that MDR is a potent data mining method to identify the herbal combination with high rates of positive outcome.
基金supported by the National Natural Science Foundation of China (Grant No. 11127202)the National High-Tech Research & Development Program of China ("863" Program) (Grant No. 2012AA041801)
文摘The loads acting on shield tunneling machines are basic parameters for the equipment design as well as key control parameters throughout the entire operation of the equipment. In the study, a mechanical analysis for the coupled interactive system between the cutterhead and the ground at the excavation face is conducted. The normal and tangential loads acting on the cutterhead are decoupled and solved, with consideration of the influence of three key factors on loads: geological condition, operating status and equipment structure. Then analytical expressions for the thrust and the torque acting on the equipment under uniform geological condition are established. On this basis, the impact of soil-rock interbedded ground on acting loads is further considered. A theoretical model for loads prediction of earth pressure balance (EPB) shield machines working under soil-rock interbedded ground is proposed. This model is subsequently applied to loads prediction for a shield tunneling project under soil-rock interbedded ground. The computational value of the thrust and the torque, the measured loads and the load ranges from Krause empirical formula are compared. Thus, this model for loads prediction acting on shield tunneling machines under soil-rock interbedded ground has been proved to be effective.
基金This work was financially supported by the National Key Research and Development Program of China(2021YFC3090400)National Natural Science Foundation of China(72091512 and 71790613)Hunan Innovative Province Construction Special Fund Project(2020SK2004).
文摘To assist the Department of Emergency Management in understanding the overall risk characteristics and situation of an urban agglomeration for a reasonable risk prevention and control strategy,this study developed a comprehensive multi-hazard risk assessment model for an urban agglomeration with multiple factors.The proposed model includes disaster probability and disaster loss sub-models.The model evaluated four types of disaster risk in urban agglomerations:natural disasters,accidental disasters,public health incidents,and social security incidents.In addition,a variety of factors were integrated into the model,including the socioeconomic foundation of urban agglomerations,the oligopoly effect of core cities,historical disaster losses,the effect of disaster chains,the ability of disaster prevention and mitigation,and intercity coordinated rescue capabilities.Finally,the risk assessment model was applied to the Beijing-Tianjin-Hebei urban agglomeration.The assessment results were compared to the distribution of the new coronavirus pneumonia epidemic in the target urban agglomeration.The results showed that after analyzing the risk characteristics and evaluating the risk levels,the model not only showed the comprehensive risk levels and distribution of urban agglomerations but also revealed the high-risk areas and the key points of risk prevention and control.More importantly,the results obtained through the model can facilitate the strategic planning of disaster prevention and mitigation for urban agglomerations.
基金supported by the Construction of Prevention and Treatment System of Geriatric Syndromes Focusing on Disability and Dementia(No.21-1-2-2-zyyd-nsh)。
文摘Objective This study aimed to explore the association of single nucleotide polymorphisms(SNP)in the matrix metalloproteinase 2(MMP-2)signaling pathway and the risk of vascular senescence(VS).Methods In this cross-sectional study,between May and November 2022,peripheral venous blood of151 VS patients(case group)and 233 volunteers(control group)were collected.Fourteen SNPs were identified in five genes encoding the components of the MMP-2 signaling pathway,assessed through carotid-femoral pulse wave velocity(cf PWV),and analyzed using multivariate logistic regression.The multigene influence on the risk of VS was assessed using multifactor dimensionality reduction(MDR)and generalized multifactor dimensionality regression(GMDR)modeling.Results Within the multivariate logistic regression models,four SNPs were screened to have significant associations with VS:chemokine(C-C motif)ligand 2(CCL2)rs4586,MMP2 rs14070,MMP2rs7201,and MMP2 rs1053605.Carriers of the T/C genotype of MMP2 rs14070 had a 2.17-fold increased risk of developing VS compared with those of the C/C genotype,and those of the T/T genotype had a19.375-fold increased risk.CCL2 rs4586 and MMP-2 rs14070 exhibited the most significant interactions.Conclusion CCL2 rs4586,MMP-2 rs14070,MMP-2 rs7201,and MMP-2 rs1053605 polymorphisms were significantly associated with the risk of VS.
