This editorial delves into the potential of systemic immune indicators(SIIs)as early predictors of renal damage in children with newly diagnosed type 1 diabetes mellitus.By exploring the recent study published by Cao ...This editorial delves into the potential of systemic immune indicators(SIIs)as early predictors of renal damage in children with newly diagnosed type 1 diabetes mellitus.By exploring the recent study published by Cao et al,this article aims to highlight the importance of early detection and intervention.This study compre-hensively analyzes various SIIs,examining their correlation with renal compli-cations in newly diagnosed type 1 diabetic children.The findings reveal a sig-nificant association between immune system dysregulation and the onset of renal damage,suggesting that certain immune indicators can be early markers for predicting renal complications.This editorial emphasizes the clinical implications and applications of utilizing SIIs for early detection in pediatric diabetes care.It underscores the importance of innovative diagnostic approaches and illustrates real-world applications and outcomes.Additionally,it addresses the challenges and considerations in adopting these indicators and outlines future research directions to enhance diabetes management in children.展开更多
Damage indices are effective in quantifying structural seismic damage.Numerous response-based damage indices have been developed and validated through the hysteretic response of various experimental specimens.However,...Damage indices are effective in quantifying structural seismic damage.Numerous response-based damage indices have been developed and validated through the hysteretic response of various experimental specimens.However,the accuracy of these indices for evaluating damage of RC columns is challenged by fluctuating axial load and irregular horizontal loading paths from 3-D earthquake excitations.This study introduces D_(iem),a material-based damage model for RC columns under random bidirectional loads and variable axial forces.Section damage indices of the plastic hinge are calculated by integrating the damage indices of concrete and steel fiber elements,considering their distance to the centroid axis.The P-Δeffect index is defined,and the component failure index is calculated using a combination of these indices.A hysteretic simulation and D_(iem)damage analysis program for cantilever RC columns is developed using Fortran.Three RC columns tested under bidirectional hysteretic loading are simulated to calibrate the program.Parameter analysis of 1,638 RC columns is conducted to verify D_(iem)’s applicability.The results demonstrated that D_(iem)’s failure assessment aligns with the 80%residual criterion.D_(iem)analysis of a real seismic damaged RC column shows satisfactory agreement with post-earthquake damage assessment and illustrates significant damage differences between columns with and without axial load fluctuation.展开更多
In this study, strong ground motion record （SGMR） selection based on Eta （~/） as a spectral shape indicator has been investigated as applied to steel braced flame structures. A probabilistic seismic hazard disaggr...In this study, strong ground motion record （SGMR） selection based on Eta （~/） as a spectral shape indicator has been investigated as applied to steel braced flame structures. A probabilistic seismic hazard disaggregation analysis for the definition of the target Epsilon （ε） and the target Eta （η） values at different hazard levels is presented, taking into account appropriately selected SGMR＇s. Fragility curves are developed for different limit states corresponding to three representative models of typical steel braced frames having significant irregularities in plan, by means of a weighted damage index. The results show that spectral shape indicators have an important effect on the predicted median structural capacities, and also that the parameter r/is a more robust predictor of damage than searching for records with appropriate c values.展开更多
Due to the developments of computer science and technology in recent years,computer models and numerical simulations for large and complicated structures can be done.Among the vast information and results obtained fro...Due to the developments of computer science and technology in recent years,computer models and numerical simulations for large and complicated structures can be done.Among the vast information and results obtained from the analysis and simulations,the damage performance is of great importance since this damage might cause enormous losses for society and humanity,notably in cases of severe damage occurring.One of the most effective tools to handle the results about the damage performance of the structure is the damage index(DI)together with the damage states,which are used to correlate the damage indices with the damage that occurred in the actual structures.Numbers of damage indices proposed and developed rely on the fact that the damage causes noticeable changes in the structural and dynamic properties of the structural components or the whole structure.Therefore,this study presents a comprehensive review of the damage assessment of Reinforced Concrete(RC)structures.It presents step by step the development of the damage indices that are most widely used to estimate the performance of structural components in the structure and subsequently assess the damage degree of such these structures either based on the structural properties or dynamic properties of the structure.Also,several damage states have been introduced to estimate the performance level of the structure.Finally,case studies,methodologies,and applications on the damage assessment of RC structures are reviewed and presented.展开更多
In this study,terrestrial laser scanning(TLS)is used to collect building data after the M_(s) 7.0 magnitude earthquake in Lushan,Sichuan,China in 2013 for analysis and research.The analysis focuses on extracting the t...In this study,terrestrial laser scanning(TLS)is used to collect building data after the M_(s) 7.0 magnitude earthquake in Lushan,Sichuan,China in 2013 for analysis and research.The analysis focuses on extracting the tilt and deformation of masonry buildings that are difficult to identify through visual inspection in basically intact,slightly damaged and moderately damaged masonry buildings,to solve the problem of ambiguous identification of damage.A quantitative analysis of the determination indexes of the degree of earthquake damage was carried out,and the numerical characteristics parameters such as the curvature of the wall point cloud proximity,angle,contour of the fitted plane of the point cloud,verticality(flatness)of the wall,standard deviation of the profile and angle of the profile were established to determine the degree of earthquake damage to buildings based on LiDAR data.The development of quantitative determination indexes for the degree of earthquake damage of buildings in this study has important application value for LiDAR data in the identification and extraction of earthquake damage information and damage level determination.展开更多
Over recent decades,the artificial neural networks(ANNs)have been applied as an effective approach for detecting damage in construction materials.However,to achieve a superior result of defect identification,they have...Over recent decades,the artificial neural networks(ANNs)have been applied as an effective approach for detecting damage in construction materials.However,to achieve a superior result of defect identification,they have to overcome some shortcomings,for instance slow convergence or stagnancy in local minima.Therefore,optimization algorithms with a global search ability are used to enhance ANNs,i.e.to increase the rate of convergence and to reach a global minimum.This paper introduces a two-stage approach for failure identification in a steel beam.In the first step,the presence of defects and their positions are identified by modal indices.In the second step,a feedforward neural network,improved by a hybrid particle swarm optimization and gravitational search algorithm,namely FNN-PSOGSA,is used to quantify the severity of damage.Finite element(FE)models of the beam for two damage scenarios are used to certify the accuracy and reliability of the proposed method.For comparison,a traditional ANN is also used to estimate the severity of the damage.The obtained results prove that the proposed approach can be used effectively for damage detection and quantification.展开更多
The increasing size of these blades of wind turbines emphasizes the need for reliable monitoring and maintenance.This brief review explores the detection and analysis of damage in wind turbine blades.The study highlig...The increasing size of these blades of wind turbines emphasizes the need for reliable monitoring and maintenance.This brief review explores the detection and analysis of damage in wind turbine blades.The study highlights various techniques,including acoustic emission analysis,strain signal monitoring,and vibration analysis,as effective approaches for damage detection.Vibration analysis,in particular,shows promise for fault identification by analyzing changes in dynamic characteristics.Damage indices based on modal properties,such as natural frequencies,mode shapes,and curvature,are discussed.展开更多
A method is proposed for detecting damage to shear structures by using Support Vector Machine (SVM) and only the first three natural frequencies of the translational modes. This method is able to determine the damage ...A method is proposed for detecting damage to shear structures by using Support Vector Machine (SVM) and only the first three natural frequencies of the translational modes. This method is able to determine the damage location in any story of a shear building with only two vibration sensors;to obtain modal frequencies, one sensor on the ground detects an input and the other on the roof detects the output. Based on the shifts in the first three natural frequencies, damage location indicators are proposed, and used as new feature vectors for SVM. Simulations of five-story, nine-story and twenty-one-story shear structures and experiments on a five-story steel model were used to test the performance of the proposed method.展开更多
Prognostic value of haematological indices,especially red cell distribution width,neutrophil lymphocyte ratio and mean platelet volume,was reported with numerous investigations in miscellaneous cardiovascular settings...Prognostic value of haematological indices,especially red cell distribution width,neutrophil lymphocyte ratio and mean platelet volume,was reported with numerous investigations in miscellaneous cardiovascular settings.Their major prognostic value was linked to oxidative stress and inflammation since their level was correlated with major inflammatory markers such as high sensitive C-reactive protein and interleukins.Oxidative stress and chronic inflammation are also postulated as the main pathophysiologic mechanism of essential hypertension(HT) and its vascular complication.Recently,correlation between HT and haematological parameters was searched in numerous studies,which has made the topic more popular.Herein,we reveal the correlation between haematological indices and HT and we also demonstrate the clinical implication of this correlation.Impaired haematological parameters may strongly indicate hypertensive end-organ damage.展开更多
【目的】探究田间施硅对稻纵卷叶螟Cnaphalocrocis medinalis幼虫结苞危害的控制作用及其对水稻产量的影响。【方法】设置品种和施硅水平双因素田间小区试验,品种为易感虫的台中1号(Taichung Native 1,TN1)和抗虫的中浙优8号(Zhongzheyo...【目的】探究田间施硅对稻纵卷叶螟Cnaphalocrocis medinalis幼虫结苞危害的控制作用及其对水稻产量的影响。【方法】设置品种和施硅水平双因素田间小区试验,品种为易感虫的台中1号(Taichung Native 1,TN1)和抗虫的中浙优8号(Zhongzheyou 8,ZY8),施硅水平为0、150、300和600 kg SiO_(2)/hm^(2),测定稻纵卷叶螟幼虫在水稻分蘖期和孕穗期的结苞为害特征、孕穗期剑叶性状以及水稻产量相关指标。【结果】水稻成熟后土壤硅含量在品种间没有显著差异(P=0.910),但与不施硅对照相比,300和600 kg SiO_(2)/hm^(2)水平下土壤硅含量分别显著增加133.4%和182.4%(TN1,P≤0.030),以及154.9%和303.8%(ZY8,P≤0.005)。分蘖期水稻上稻纵卷叶螟叶苞的叶位和叶面分布特征在施硅水平之间有显著差异(P<0.001),施硅显著增大叶片正面结苞的频率(P<0.001)和叶苞丝束数量(P=0.020),分蘖期中浙优8号水稻上稻纵卷叶螟在叶片正面结苞的频率高于台中1号;不同施硅水平和品种下叶苞中的稻纵卷叶螟取食率和蛹重没有显著差异(P≥0.120)。孕穗期水稻上稻纵卷叶螟叶苞特征没有差异,但600kg SiO_(2)/hm^(2)水平硅处理显著降低幼虫取食率(P<0.001)、增加叶苞中丝束数量(P=0.002);剑叶理化性状受施硅影响,施硅显著降低剑叶的比叶面积、增加叶绿素相对含量和硅含量(P≤0.002)。此外,产量性状也与施硅有关,施硅显著增加中浙优8号的每穗总粒数、结实率和理论产量(P≤0.016)。不同施硅水平下,150 kg SiO_(2)/hm^(2)的理论收益最大。【结论】施硅能够改善水稻叶片的理化性质,增强叶片的韧性和光合作用,增强水稻对稻纵卷叶螟幼虫结苞为害的抵抗性和耐受性,并增加水稻理论产量,推荐田间施硅150 kg SiO_(2)/hm^(2)以获取较高收益。展开更多
文摘This editorial delves into the potential of systemic immune indicators(SIIs)as early predictors of renal damage in children with newly diagnosed type 1 diabetes mellitus.By exploring the recent study published by Cao et al,this article aims to highlight the importance of early detection and intervention.This study compre-hensively analyzes various SIIs,examining their correlation with renal compli-cations in newly diagnosed type 1 diabetic children.The findings reveal a sig-nificant association between immune system dysregulation and the onset of renal damage,suggesting that certain immune indicators can be early markers for predicting renal complications.This editorial emphasizes the clinical implications and applications of utilizing SIIs for early detection in pediatric diabetes care.It underscores the importance of innovative diagnostic approaches and illustrates real-world applications and outcomes.Additionally,it addresses the challenges and considerations in adopting these indicators and outlines future research directions to enhance diabetes management in children.
基金Scientific Research Fund of Institute of Engineering Mechanics,China Earthquake Administration under Grant No.2019B12National Natural Science Foundation of China Youth Fund under Grant No.51108433National Natural Science Foundation of China under Grant No.51778186。
文摘Damage indices are effective in quantifying structural seismic damage.Numerous response-based damage indices have been developed and validated through the hysteretic response of various experimental specimens.However,the accuracy of these indices for evaluating damage of RC columns is challenged by fluctuating axial load and irregular horizontal loading paths from 3-D earthquake excitations.This study introduces D_(iem),a material-based damage model for RC columns under random bidirectional loads and variable axial forces.Section damage indices of the plastic hinge are calculated by integrating the damage indices of concrete and steel fiber elements,considering their distance to the centroid axis.The P-Δeffect index is defined,and the component failure index is calculated using a combination of these indices.A hysteretic simulation and D_(iem)damage analysis program for cantilever RC columns is developed using Fortran.Three RC columns tested under bidirectional hysteretic loading are simulated to calibrate the program.Parameter analysis of 1,638 RC columns is conducted to verify D_(iem)’s applicability.The results demonstrated that D_(iem)’s failure assessment aligns with the 80%residual criterion.D_(iem)analysis of a real seismic damaged RC column shows satisfactory agreement with post-earthquake damage assessment and illustrates significant damage differences between columns with and without axial load fluctuation.
文摘In this study, strong ground motion record （SGMR） selection based on Eta （~/） as a spectral shape indicator has been investigated as applied to steel braced flame structures. A probabilistic seismic hazard disaggregation analysis for the definition of the target Epsilon （ε） and the target Eta （η） values at different hazard levels is presented, taking into account appropriately selected SGMR＇s. Fragility curves are developed for different limit states corresponding to three representative models of typical steel braced frames having significant irregularities in plan, by means of a weighted damage index. The results show that spectral shape indicators have an important effect on the predicted median structural capacities, and also that the parameter r/is a more robust predictor of damage than searching for records with appropriate c values.
基金This work was supported by the National Natural Science Foundation of China(Grant No.52078361)the Innovation Program of the Shanghai Municipal Education Commission(Grant No.2017-01-07-00-07-E00006).
文摘Due to the developments of computer science and technology in recent years,computer models and numerical simulations for large and complicated structures can be done.Among the vast information and results obtained from the analysis and simulations,the damage performance is of great importance since this damage might cause enormous losses for society and humanity,notably in cases of severe damage occurring.One of the most effective tools to handle the results about the damage performance of the structure is the damage index(DI)together with the damage states,which are used to correlate the damage indices with the damage that occurred in the actual structures.Numbers of damage indices proposed and developed rely on the fact that the damage causes noticeable changes in the structural and dynamic properties of the structural components or the whole structure.Therefore,this study presents a comprehensive review of the damage assessment of Reinforced Concrete(RC)structures.It presents step by step the development of the damage indices that are most widely used to estimate the performance of structural components in the structure and subsequently assess the damage degree of such these structures either based on the structural properties or dynamic properties of the structure.Also,several damage states have been introduced to estimate the performance level of the structure.Finally,case studies,methodologies,and applications on the damage assessment of RC structures are reviewed and presented.
基金Earthquake Science and Technology Program of Hebei Province under Grant Nos.DZ2021120300001,DZ2024083000001,DZ2024112400016 and DZ2025092800001。
文摘In this study,terrestrial laser scanning(TLS)is used to collect building data after the M_(s) 7.0 magnitude earthquake in Lushan,Sichuan,China in 2013 for analysis and research.The analysis focuses on extracting the tilt and deformation of masonry buildings that are difficult to identify through visual inspection in basically intact,slightly damaged and moderately damaged masonry buildings,to solve the problem of ambiguous identification of damage.A quantitative analysis of the determination indexes of the degree of earthquake damage was carried out,and the numerical characteristics parameters such as the curvature of the wall point cloud proximity,angle,contour of the fitted plane of the point cloud,verticality(flatness)of the wall,standard deviation of the profile and angle of the profile were established to determine the degree of earthquake damage to buildings based on LiDAR data.The development of quantitative determination indexes for the degree of earthquake damage of buildings in this study has important application value for LiDAR data in the identification and extraction of earthquake damage information and damage level determination.
基金the Vlaamse Interuniversitaire Raad University Development Cooperation(VLIR-UOS)Team Project(No.VN2018TEA479A103)the Flemish Government,Belgium。
文摘Over recent decades,the artificial neural networks(ANNs)have been applied as an effective approach for detecting damage in construction materials.However,to achieve a superior result of defect identification,they have to overcome some shortcomings,for instance slow convergence or stagnancy in local minima.Therefore,optimization algorithms with a global search ability are used to enhance ANNs,i.e.to increase the rate of convergence and to reach a global minimum.This paper introduces a two-stage approach for failure identification in a steel beam.In the first step,the presence of defects and their positions are identified by modal indices.In the second step,a feedforward neural network,improved by a hybrid particle swarm optimization and gravitational search algorithm,namely FNN-PSOGSA,is used to quantify the severity of damage.Finite element(FE)models of the beam for two damage scenarios are used to certify the accuracy and reliability of the proposed method.For comparison,a traditional ANN is also used to estimate the severity of the damage.The obtained results prove that the proposed approach can be used effectively for damage detection and quantification.
文摘The increasing size of these blades of wind turbines emphasizes the need for reliable monitoring and maintenance.This brief review explores the detection and analysis of damage in wind turbine blades.The study highlights various techniques,including acoustic emission analysis,strain signal monitoring,and vibration analysis,as effective approaches for damage detection.Vibration analysis,in particular,shows promise for fault identification by analyzing changes in dynamic characteristics.Damage indices based on modal properties,such as natural frequencies,mode shapes,and curvature,are discussed.
文摘A method is proposed for detecting damage to shear structures by using Support Vector Machine (SVM) and only the first three natural frequencies of the translational modes. This method is able to determine the damage location in any story of a shear building with only two vibration sensors;to obtain modal frequencies, one sensor on the ground detects an input and the other on the roof detects the output. Based on the shifts in the first three natural frequencies, damage location indicators are proposed, and used as new feature vectors for SVM. Simulations of five-story, nine-story and twenty-one-story shear structures and experiments on a five-story steel model were used to test the performance of the proposed method.
文摘Prognostic value of haematological indices,especially red cell distribution width,neutrophil lymphocyte ratio and mean platelet volume,was reported with numerous investigations in miscellaneous cardiovascular settings.Their major prognostic value was linked to oxidative stress and inflammation since their level was correlated with major inflammatory markers such as high sensitive C-reactive protein and interleukins.Oxidative stress and chronic inflammation are also postulated as the main pathophysiologic mechanism of essential hypertension(HT) and its vascular complication.Recently,correlation between HT and haematological parameters was searched in numerous studies,which has made the topic more popular.Herein,we reveal the correlation between haematological indices and HT and we also demonstrate the clinical implication of this correlation.Impaired haematological parameters may strongly indicate hypertensive end-organ damage.
文摘【目的】探究田间施硅对稻纵卷叶螟Cnaphalocrocis medinalis幼虫结苞危害的控制作用及其对水稻产量的影响。【方法】设置品种和施硅水平双因素田间小区试验,品种为易感虫的台中1号(Taichung Native 1,TN1)和抗虫的中浙优8号(Zhongzheyou 8,ZY8),施硅水平为0、150、300和600 kg SiO_(2)/hm^(2),测定稻纵卷叶螟幼虫在水稻分蘖期和孕穗期的结苞为害特征、孕穗期剑叶性状以及水稻产量相关指标。【结果】水稻成熟后土壤硅含量在品种间没有显著差异(P=0.910),但与不施硅对照相比,300和600 kg SiO_(2)/hm^(2)水平下土壤硅含量分别显著增加133.4%和182.4%(TN1,P≤0.030),以及154.9%和303.8%(ZY8,P≤0.005)。分蘖期水稻上稻纵卷叶螟叶苞的叶位和叶面分布特征在施硅水平之间有显著差异(P<0.001),施硅显著增大叶片正面结苞的频率(P<0.001)和叶苞丝束数量(P=0.020),分蘖期中浙优8号水稻上稻纵卷叶螟在叶片正面结苞的频率高于台中1号;不同施硅水平和品种下叶苞中的稻纵卷叶螟取食率和蛹重没有显著差异(P≥0.120)。孕穗期水稻上稻纵卷叶螟叶苞特征没有差异,但600kg SiO_(2)/hm^(2)水平硅处理显著降低幼虫取食率(P<0.001)、增加叶苞中丝束数量(P=0.002);剑叶理化性状受施硅影响,施硅显著降低剑叶的比叶面积、增加叶绿素相对含量和硅含量(P≤0.002)。此外,产量性状也与施硅有关,施硅显著增加中浙优8号的每穗总粒数、结实率和理论产量(P≤0.016)。不同施硅水平下,150 kg SiO_(2)/hm^(2)的理论收益最大。【结论】施硅能够改善水稻叶片的理化性质,增强叶片的韧性和光合作用,增强水稻对稻纵卷叶螟幼虫结苞为害的抵抗性和耐受性,并增加水稻理论产量,推荐田间施硅150 kg SiO_(2)/hm^(2)以获取较高收益。
