Purpose–The deformation of the roadbed is easily influenced by the external environment to improve the accuracy of high-speed railway subgrade settlement prediction.Design/methodology/approach–A high-speed railway s...Purpose–The deformation of the roadbed is easily influenced by the external environment to improve the accuracy of high-speed railway subgrade settlement prediction.Design/methodology/approach–A high-speed railway subgrade settlement interval prediction method using the secretary bird optimization(SBOA)algorithm to optimize the BP neural network under the premise of gray relational analysis is proposed.Findings–Using the SBOA algorithm to optimize the BP neural network,the optimal weights and thresholds are obtained,and the best parameter prediction model is combined.The data were collected from the sensors deployed through the subgrade settlement monitoring system,and the gray relational analysis is used to verify that all four influencing factors had a great correlation to the subgrade settlement,and the collected data are verified using the model.Originality/value–The experimental results show that the SBOA-BP model has higher prediction accuracy than the BP model,and the SBOA-BP model has a wider range of prediction intervals for a given confidence level,which can provide higher guiding value for practical engineering applications.展开更多
The storage layer within the Moxizhuang Oilfield in the Junggar Basin develops various types of interlayer barriers with significant differences in morphology and scale of development. In response to the issues of int...The storage layer within the Moxizhuang Oilfield in the Junggar Basin develops various types of interlayer barriers with significant differences in morphology and scale of development. In response to the issues of interlayer barriers affecting the formation of oil and gas reservoirs and controlling oil-water distribution, this study proposes precise classification and quantitative identification of interlayer barriers in the study area based on a fully connected neural network combined with grey relational analysis. Taking the second member of the Sangonghe Formation (J1S22) in the Moxizhuang Oilfield as an example, combined with previous research, this study statistically analyzes the lithology and logging response characteristics of three types of interlayer barriers in the study area. Based on differences in composition, lithology, and genesis, interlayer barrier types are classified. Sensitive logging data such as natural gamma, acoustic time difference, and resistivity are selected through crossover plots. Grey relational analysis is used to calculate comprehensive discrimination indicators for interlayer barriers. Combined with the fully connected neural network method, an interlayer barrier identification model is established, and model training is conducted to verify the accuracy of interlayer barrier identification. The results indicate that the interlayer barrier identification model based on a fully connected neural network can rapidly and accurately identify interlayer barriers and their types. Its application in the second member of the Sangonghe Formation in the Moxizhuang Oilfield in the Junggar Basin has proven that the identification results of this method for interlayer barriers have a conformity rate exceeding 90% with core data, demonstrating excellent performance in interlayer barrier identification and proving the effectiveness of the model for interlayer barrier identification and prediction in this area. The research conclusions can provide theoretical guidance and technical reference for the identification and evaluation of interlayer barriers in the second member of the Sangonghe Formation in the Moxizhuang Oilfield in the Junggar Basin.展开更多
Anti-jamming performance evaluation has recently received significant attention. For Link-16, the anti-jamming performance evaluation and selection of the optimal anti-jamming technologies are urgent problems to be so...Anti-jamming performance evaluation has recently received significant attention. For Link-16, the anti-jamming performance evaluation and selection of the optimal anti-jamming technologies are urgent problems to be solved. A comprehensive evaluation method is proposed, which combines grey relational analysis (GRA) and cloud model, to evaluate the anti-jamming performances of Link-16. Firstly, on the basis of establishing the anti-jamming performance evaluation indicator system of Link-16, the linear combination of analytic hierarchy process(AHP) and entropy weight method (EWM) are used to calculate the combined weight. Secondly, the qualitative and quantitative concept transformation model, i.e., the cloud model, is introduced to evaluate the anti-jamming abilities of Link-16 under each jamming scheme. In addition, GRA calculates the correlation degree between evaluation indicators and the anti-jamming performance of Link-16, and assesses the best anti-jamming technology. Finally, simulation results prove that the proposed evaluation model can achieve the objective of feasible and practical evaluation, which opens up a novel way for the research of anti-jamming performance evaluations of Link-16.展开更多
This study aims to build a value assessment framework applicable to Chinese health-care institutions for antineoplastic agents in the context of diagnosis related group(DRG).This study constructed the value assessment...This study aims to build a value assessment framework applicable to Chinese health-care institutions for antineoplastic agents in the context of diagnosis related group(DRG).This study constructed the value assessment framework through literature research,Delphi expert consultation method,and analytic hierarchy process(AHP).This study used internal consistency reliability to test the reliability of the constructed framework.Exploratory factor analysis(EFA)and validation factor analysis were used for the validity test.Then,the level stratification of the indicators was set based on the literature data,and the value function of each indicator was constructed using the measuring attractiveness by a categorical based assessment technique method to construct a quantitative value assessment model.This study established a value assessment framework of 7 dimensions and 26 indicators.Reliability and validity analyses of these indicators made 4 indicators excluded.Then,the value functions were constructed for 17 indicators,establishing a quantitative value assessment model.This study constructed an antineoplastic drugs evaluation framework in the context of DRG with good validity and reliability and the corresponding quantitative value assessment model.展开更多
We investigated the parametric optimization on incremental sheet forming of stainless steel using Grey Relational Analysis(GRA) coupled with Principal Component Analysis(PCA). AISI 316L stainless steel sheets were use...We investigated the parametric optimization on incremental sheet forming of stainless steel using Grey Relational Analysis(GRA) coupled with Principal Component Analysis(PCA). AISI 316L stainless steel sheets were used to develop double wall angle pyramid with aid of tungsten carbide tool. GRA coupled with PCA was used to plan the experiment conditions. Control factors such as Tool Diameter(TD), Step Depth(SD), Bottom Wall Angle(BWA), Feed Rate(FR) and Spindle Speed(SS) on Top Wall Angle(TWA) and Top Wall Angle Surface Roughness(TWASR) have been studied. Wall angle increases with increasing tool diameter due to large contact area between tool and workpiece. As the step depth, feed rate and spindle speed increase,TWASR decreases with increasing tool diameter. As the step depth increasing, the hydrostatic stress is raised causing severe cracks in the deformed surface. Hence it was concluded that the proposed hybrid method was suitable for optimizing the factors and response.展开更多
In gas metal arc welding(GMAW)process,the short-circuit transition was the most typical transition observed in molten metal droplets.This paper used orthogonal tests to explore the coupling effect law of welding proce...In gas metal arc welding(GMAW)process,the short-circuit transition was the most typical transition observed in molten metal droplets.This paper used orthogonal tests to explore the coupling effect law of welding process parameters on the quality of weld forming under short-circuit transition,the design of 3 factors and 3 levels of a total of 9 groups of orthogonal tests,welding current,welding voltage,welding speed as input parameters:effective area ratio,humps,actual linear power density,aspect ratio,Vickers hardness as output paramet-ers(response targets).Using range analysis and trend charts,we can visually depict the relationship between input parameters and a single output parameter,ultimately determining the optimal process parameters that impact the single output index.Then combined with gray the-ory to transform the three response targets into a single gray relational grade(GRG)for analysis,the optimal combination of the weld mor-phology parameters as follows:welding current 100 A,welding voltage 25 V,welding speed 30 cm/min.Finally,validation experiments were conducted,and the results showed that the error between the gray relational grade and the predicted value was 2.74%.It was observed that the effective area ratio of the response target significantly improved,validating the reliability of the orthogonal gray relational method.展开更多
This study explores the implementation of computed tomography(CT)reconstruction and simulation techniques for patient-specific valves,aiming to dissect the mechanical attributes of calcified valves within transcathete...This study explores the implementation of computed tomography(CT)reconstruction and simulation techniques for patient-specific valves,aiming to dissect the mechanical attributes of calcified valves within transcatheter heart valve replacement(TAVR)procedures.In order to facilitate this exploration,it derives pertinent formulas for 3D multi-material isogeometric hyperelastic analysis based on Hounsfield unit(HU)values,thereby unlocking foundational capabilities for isogeometric analysis in calcified aortic valves.A series of uniaxial and biaxial tensile tests is executed to obtain an accurate constitutive model for calcified active valves.To mitigate discretization errors,methodologies for reconstructing volumetric parametric models,integrating both geometric and material attributes,are introduced.Applying these analytical formulas,constitutive models,and precise analytical models to isogeometric analyses of calcified valves,the research ascertains their close alignment with experimental results through the close fit in displacement-stress curves,compellingly validating the accuracy and reliability of the method.This study presents a step-by-step approach to analyzing themechanical characteristics of patient-specific valves obtained fromCT images,holding significant clinical implications and assisting in the selection of treatment strategies and surgical intervention approaches in TAVR procedures.展开更多
Post-colonial literary studies, as a significant academic field, have recently garnered widespread attention from scholars due to their integration with critical discourse analysis. This study explores the application...Post-colonial literary studies, as a significant academic field, have recently garnered widespread attention from scholars due to their integration with critical discourse analysis. This study explores the application of critical discourse analysis in post-colonial literary research, focusing on how this method reveals implicit power relations, identity construction, and cultural conflicts within texts. Through in-depth analysis of representative works, this study demonstrates how critical discourse analysis provides new perspectives and methodological tools for post-colonial literary studies. The research finds that critical discourse analysis can effectively deconstruct colonial discourse in texts, reveal authors’ ideological positions, and offer profound insights into understanding the complexity of post-colonial societies. This study not only enriches the methodology of post-colonial literary research, but also provides valuable references for interdisciplinary studies.展开更多
Objective:This is a comprehensive overview of long-term cancer survival in Zhejiang Province,China.Hybrid analysis,a combination of cohort and period analysis,has been proposed to derive up-to-date cancer survival est...Objective:This is a comprehensive overview of long-term cancer survival in Zhejiang Province,China.Hybrid analysis,a combination of cohort and period analysis,has been proposed to derive up-to-date cancer survival estimates.Using this approach,we aimed to timely and accurately analyze the 5-year relative survival(RS)and net survival(NS)in cancer registries of Zhejiang Province,China.Methods:A total of 255,725 new cancer cases diagnosed during 2013-2017 were included in 14 cancer registries in Zhejiang Province,China,with a follow-up on vital status until the end of 2019.The hybrid analysis was used to calculate the 5-year RS and 5-year NS during 2018-2019 for overall and stratifications by sex,cancer type,region,and age at diagnosis.Results:During 2018-2019,the age-standardized 5-year RS and NS for overall cancer in Zhejiang was 47.5%and 48.6%,respectively.The age-standardized 5-year RS for cancers of women(55.4%)was higher than that of men(40.0%),and the rate of urban areas(49.7%)was higher than that of rural areas(43.1%).The 5-year RS declined along with age,from 84.4%for ages<45 years to 23.7%for ages>74 years.Our results of the RS and NS showed the similar trend and no significant difference.The top five cancers with top age-standardized 5-year RS were thyroid cancer(96.0%),breast cancer(84.3%),testicular cancer(79.9%),prostate cancer(77.2%),and bladder cancer(70.6%),and the five cancers with the lowest age-standardized 5-year RS were pancreatic cancer(6.0%),liver cancer(15.6%),gallbladder cancer(17.1%),esophageal cancer(22.7%),and leukemia(31.0%).Conclusions:We reported the most up-to-date 5-year cancer RS and NS in Zhejiang Province,China for the first time,and found that the 5-year survival for cancer patients in Zhejiang during 2018-2019 was relatively high.The population-based cancer registries are recognized as key policy tools that can be used to evaluate both the impact of cancer prevention strategies and the effectiveness of health systems.展开更多
Background:The 13‐MD is a new generic instrument developed to measure general health‐related quality of life(GHRQoL).This instrument considers all aspects of health(i.e.,physical,mental,and social)in a balanced way....Background:The 13‐MD is a new generic instrument developed to measure general health‐related quality of life(GHRQoL).This instrument considers all aspects of health(i.e.,physical,mental,and social)in a balanced way.A previous study led to minor changes in the original version of the 13‐MD.The objective of this study was to confirm the validity of the modified 13‐MD.Methods:Validity was assessed with recent data from the general population of Quebec,Canada.The meta‐dimensions and items composing the 13‐MD were also subjected to a ranking procedure,which allowed to determine the most important aspects for respondents.Results:A total of 1337 French‐speaking participants were recruited with 1099 completing the 13‐MD for validation purposes and 1084 completing the ranking procedure.The 13‐MD showed very satisfactory results and confirmed to be a valid instrument.The ranking of the meta‐dimensions revealed that“Well‐being”received the most points,followed by“Sleep and energy”and“Body functioning.”Conclusion:These results will be very useful in the continuous improvement of the 13‐MD,ultimately leading to the valuation stage(i.e.,development of a value set).展开更多
文摘Purpose–The deformation of the roadbed is easily influenced by the external environment to improve the accuracy of high-speed railway subgrade settlement prediction.Design/methodology/approach–A high-speed railway subgrade settlement interval prediction method using the secretary bird optimization(SBOA)algorithm to optimize the BP neural network under the premise of gray relational analysis is proposed.Findings–Using the SBOA algorithm to optimize the BP neural network,the optimal weights and thresholds are obtained,and the best parameter prediction model is combined.The data were collected from the sensors deployed through the subgrade settlement monitoring system,and the gray relational analysis is used to verify that all four influencing factors had a great correlation to the subgrade settlement,and the collected data are verified using the model.Originality/value–The experimental results show that the SBOA-BP model has higher prediction accuracy than the BP model,and the SBOA-BP model has a wider range of prediction intervals for a given confidence level,which can provide higher guiding value for practical engineering applications.
文摘The storage layer within the Moxizhuang Oilfield in the Junggar Basin develops various types of interlayer barriers with significant differences in morphology and scale of development. In response to the issues of interlayer barriers affecting the formation of oil and gas reservoirs and controlling oil-water distribution, this study proposes precise classification and quantitative identification of interlayer barriers in the study area based on a fully connected neural network combined with grey relational analysis. Taking the second member of the Sangonghe Formation (J1S22) in the Moxizhuang Oilfield as an example, combined with previous research, this study statistically analyzes the lithology and logging response characteristics of three types of interlayer barriers in the study area. Based on differences in composition, lithology, and genesis, interlayer barrier types are classified. Sensitive logging data such as natural gamma, acoustic time difference, and resistivity are selected through crossover plots. Grey relational analysis is used to calculate comprehensive discrimination indicators for interlayer barriers. Combined with the fully connected neural network method, an interlayer barrier identification model is established, and model training is conducted to verify the accuracy of interlayer barrier identification. The results indicate that the interlayer barrier identification model based on a fully connected neural network can rapidly and accurately identify interlayer barriers and their types. Its application in the second member of the Sangonghe Formation in the Moxizhuang Oilfield in the Junggar Basin has proven that the identification results of this method for interlayer barriers have a conformity rate exceeding 90% with core data, demonstrating excellent performance in interlayer barrier identification and proving the effectiveness of the model for interlayer barrier identification and prediction in this area. The research conclusions can provide theoretical guidance and technical reference for the identification and evaluation of interlayer barriers in the second member of the Sangonghe Formation in the Moxizhuang Oilfield in the Junggar Basin.
基金Heilongjiang Provincial Natural Science Foundation of China (LH2021F009)。
文摘Anti-jamming performance evaluation has recently received significant attention. For Link-16, the anti-jamming performance evaluation and selection of the optimal anti-jamming technologies are urgent problems to be solved. A comprehensive evaluation method is proposed, which combines grey relational analysis (GRA) and cloud model, to evaluate the anti-jamming performances of Link-16. Firstly, on the basis of establishing the anti-jamming performance evaluation indicator system of Link-16, the linear combination of analytic hierarchy process(AHP) and entropy weight method (EWM) are used to calculate the combined weight. Secondly, the qualitative and quantitative concept transformation model, i.e., the cloud model, is introduced to evaluate the anti-jamming abilities of Link-16 under each jamming scheme. In addition, GRA calculates the correlation degree between evaluation indicators and the anti-jamming performance of Link-16, and assesses the best anti-jamming technology. Finally, simulation results prove that the proposed evaluation model can achieve the objective of feasible and practical evaluation, which opens up a novel way for the research of anti-jamming performance evaluations of Link-16.
基金supported by grants from the National Natural Science Foundation of China(Grant No.:71804025)the Development Center for Medical Science&Technology,National Health Commission of the People's Republic of China(Grant No:WKZX2023CX210005).
文摘This study aims to build a value assessment framework applicable to Chinese health-care institutions for antineoplastic agents in the context of diagnosis related group(DRG).This study constructed the value assessment framework through literature research,Delphi expert consultation method,and analytic hierarchy process(AHP).This study used internal consistency reliability to test the reliability of the constructed framework.Exploratory factor analysis(EFA)and validation factor analysis were used for the validity test.Then,the level stratification of the indicators was set based on the literature data,and the value function of each indicator was constructed using the measuring attractiveness by a categorical based assessment technique method to construct a quantitative value assessment model.This study established a value assessment framework of 7 dimensions and 26 indicators.Reliability and validity analyses of these indicators made 4 indicators excluded.Then,the value functions were constructed for 17 indicators,establishing a quantitative value assessment model.This study constructed an antineoplastic drugs evaluation framework in the context of DRG with good validity and reliability and the corresponding quantitative value assessment model.
文摘We investigated the parametric optimization on incremental sheet forming of stainless steel using Grey Relational Analysis(GRA) coupled with Principal Component Analysis(PCA). AISI 316L stainless steel sheets were used to develop double wall angle pyramid with aid of tungsten carbide tool. GRA coupled with PCA was used to plan the experiment conditions. Control factors such as Tool Diameter(TD), Step Depth(SD), Bottom Wall Angle(BWA), Feed Rate(FR) and Spindle Speed(SS) on Top Wall Angle(TWA) and Top Wall Angle Surface Roughness(TWASR) have been studied. Wall angle increases with increasing tool diameter due to large contact area between tool and workpiece. As the step depth, feed rate and spindle speed increase,TWASR decreases with increasing tool diameter. As the step depth increasing, the hydrostatic stress is raised causing severe cracks in the deformed surface. Hence it was concluded that the proposed hybrid method was suitable for optimizing the factors and response.
基金supported by Major Special Projects of Science and Technology in Fujian Province,(Grant No.2020HZ03018)Natural Science Foundation of Fujian Province(Grant No.2020J01873).
文摘In gas metal arc welding(GMAW)process,the short-circuit transition was the most typical transition observed in molten metal droplets.This paper used orthogonal tests to explore the coupling effect law of welding process parameters on the quality of weld forming under short-circuit transition,the design of 3 factors and 3 levels of a total of 9 groups of orthogonal tests,welding current,welding voltage,welding speed as input parameters:effective area ratio,humps,actual linear power density,aspect ratio,Vickers hardness as output paramet-ers(response targets).Using range analysis and trend charts,we can visually depict the relationship between input parameters and a single output parameter,ultimately determining the optimal process parameters that impact the single output index.Then combined with gray the-ory to transform the three response targets into a single gray relational grade(GRG)for analysis,the optimal combination of the weld mor-phology parameters as follows:welding current 100 A,welding voltage 25 V,welding speed 30 cm/min.Finally,validation experiments were conducted,and the results showed that the error between the gray relational grade and the predicted value was 2.74%.It was observed that the effective area ratio of the response target significantly improved,validating the reliability of the orthogonal gray relational method.
基金supported by the Natural Science Foundation of China(Project Nos.52075340 and 61972011)the Shanghai Special Research Project on Aging Population and Maternal and Child Health(Project No.2020YJZX0106).
文摘This study explores the implementation of computed tomography(CT)reconstruction and simulation techniques for patient-specific valves,aiming to dissect the mechanical attributes of calcified valves within transcatheter heart valve replacement(TAVR)procedures.In order to facilitate this exploration,it derives pertinent formulas for 3D multi-material isogeometric hyperelastic analysis based on Hounsfield unit(HU)values,thereby unlocking foundational capabilities for isogeometric analysis in calcified aortic valves.A series of uniaxial and biaxial tensile tests is executed to obtain an accurate constitutive model for calcified active valves.To mitigate discretization errors,methodologies for reconstructing volumetric parametric models,integrating both geometric and material attributes,are introduced.Applying these analytical formulas,constitutive models,and precise analytical models to isogeometric analyses of calcified valves,the research ascertains their close alignment with experimental results through the close fit in displacement-stress curves,compellingly validating the accuracy and reliability of the method.This study presents a step-by-step approach to analyzing themechanical characteristics of patient-specific valves obtained fromCT images,holding significant clinical implications and assisting in the selection of treatment strategies and surgical intervention approaches in TAVR procedures.
文摘Post-colonial literary studies, as a significant academic field, have recently garnered widespread attention from scholars due to their integration with critical discourse analysis. This study explores the application of critical discourse analysis in post-colonial literary research, focusing on how this method reveals implicit power relations, identity construction, and cultural conflicts within texts. Through in-depth analysis of representative works, this study demonstrates how critical discourse analysis provides new perspectives and methodological tools for post-colonial literary studies. The research finds that critical discourse analysis can effectively deconstruct colonial discourse in texts, reveal authors’ ideological positions, and offer profound insights into understanding the complexity of post-colonial societies. This study not only enriches the methodology of post-colonial literary research, but also provides valuable references for interdisciplinary studies.
基金funded by Healthy Zhejiang One Million People Cohort(grant number:K-20230085).
文摘Objective:This is a comprehensive overview of long-term cancer survival in Zhejiang Province,China.Hybrid analysis,a combination of cohort and period analysis,has been proposed to derive up-to-date cancer survival estimates.Using this approach,we aimed to timely and accurately analyze the 5-year relative survival(RS)and net survival(NS)in cancer registries of Zhejiang Province,China.Methods:A total of 255,725 new cancer cases diagnosed during 2013-2017 were included in 14 cancer registries in Zhejiang Province,China,with a follow-up on vital status until the end of 2019.The hybrid analysis was used to calculate the 5-year RS and 5-year NS during 2018-2019 for overall and stratifications by sex,cancer type,region,and age at diagnosis.Results:During 2018-2019,the age-standardized 5-year RS and NS for overall cancer in Zhejiang was 47.5%and 48.6%,respectively.The age-standardized 5-year RS for cancers of women(55.4%)was higher than that of men(40.0%),and the rate of urban areas(49.7%)was higher than that of rural areas(43.1%).The 5-year RS declined along with age,from 84.4%for ages<45 years to 23.7%for ages>74 years.Our results of the RS and NS showed the similar trend and no significant difference.The top five cancers with top age-standardized 5-year RS were thyroid cancer(96.0%),breast cancer(84.3%),testicular cancer(79.9%),prostate cancer(77.2%),and bladder cancer(70.6%),and the five cancers with the lowest age-standardized 5-year RS were pancreatic cancer(6.0%),liver cancer(15.6%),gallbladder cancer(17.1%),esophageal cancer(22.7%),and leukemia(31.0%).Conclusions:We reported the most up-to-date 5-year cancer RS and NS in Zhejiang Province,China for the first time,and found that the 5-year survival for cancer patients in Zhejiang during 2018-2019 was relatively high.The population-based cancer registries are recognized as key policy tools that can be used to evaluate both the impact of cancer prevention strategies and the effectiveness of health systems.
基金the ethics committee of the CIUSSS de l'Est de l’île de Montréal(#2021‐2389).
文摘Background:The 13‐MD is a new generic instrument developed to measure general health‐related quality of life(GHRQoL).This instrument considers all aspects of health(i.e.,physical,mental,and social)in a balanced way.A previous study led to minor changes in the original version of the 13‐MD.The objective of this study was to confirm the validity of the modified 13‐MD.Methods:Validity was assessed with recent data from the general population of Quebec,Canada.The meta‐dimensions and items composing the 13‐MD were also subjected to a ranking procedure,which allowed to determine the most important aspects for respondents.Results:A total of 1337 French‐speaking participants were recruited with 1099 completing the 13‐MD for validation purposes and 1084 completing the ranking procedure.The 13‐MD showed very satisfactory results and confirmed to be a valid instrument.The ranking of the meta‐dimensions revealed that“Well‐being”received the most points,followed by“Sleep and energy”and“Body functioning.”Conclusion:These results will be very useful in the continuous improvement of the 13‐MD,ultimately leading to the valuation stage(i.e.,development of a value set).
