To assess the effect of mining activity on heavy metal pollution and associated health risks in tin mining regions,water and soil sampling was conducted near a tin mining site in Hunan Province.The content and distrib...To assess the effect of mining activity on heavy metal pollution and associated health risks in tin mining regions,water and soil sampling was conducted near a tin mining site in Hunan Province.The content and distribution of heavy metals were determined.Pollution,ecological risks,and potential health hazards were evaluated using the ground accumulation index,potential ecological risk index,and health risk assessment models,respectively.The results indicated elevated levels of heavy metals in water and soil samples compared to acceptable background values.Ground accumulation index assessment revealed extreme pollution of soil with As and Cd and moderate pollution with Cu,Pb,and Zn.Cr and Hg were categorized as non-pollutants.Water samples exhibited extreme pollution levels of Hg,Cr,Cd,and As;moderate pollution levels of Pb;and moderate to high pollution levels of Cu and Zn.The tin mining area demonstrated a significantly high level of potential ecological risk,where As and Cd were the primary risk elements in soil,whereas Cr,Cd,and As contributed predominantly to water ecological risk.The human health risk assessment highlighted As,Cd,Cr,Hg,Pb,and Cu in water and As and Pb in soil as the principal non-carcinogenic factors.The primary carcinogenic factors were As,Cr,and Cd in water and As in soil,with As posing the greatest risk for non-carcinogenic and carcinogenic effects.Furthermore,oral intake was the primary exposure route,with children being particularly vulnerable to the adverse effects of heavy metal pollution.展开更多
Lung cancer, the leading cause of cancer deaths worldwide and in China, has a 19.7% five-year survival rate due to terminal-stage diagnosis^([1-3]).Although low-dose computed tomography(CT) screening can reduce mortal...Lung cancer, the leading cause of cancer deaths worldwide and in China, has a 19.7% five-year survival rate due to terminal-stage diagnosis^([1-3]).Although low-dose computed tomography(CT) screening can reduce mortality, high false positive rates can create economic and psychological burdens.展开更多
The complexity of coupled risks,which refer to the compounded effects of interacting uncertainties across multiple interdependent objectives,is inherent to cities functioning as dynamic,interdependent systems.A disrup...The complexity of coupled risks,which refer to the compounded effects of interacting uncertainties across multiple interdependent objectives,is inherent to cities functioning as dynamic,interdependent systems.A disruption in one domain ripples across various urban systems,often with unforeseen consequences.Central to this complexity are people,whose behaviors,needs,and vulnerabilities shape risk evolution and response effectiveness.Realizing cities as complex systems centered on human needs and behaviors is essential to understanding the complexities of coupled urban risks.This paper adopts a complex systems perspective to examine the intricacies of coupled urban risks,emphasizing the critical role of human decisions and behavior in shaping these dynamics.We focus on two key dimensions:cascading hazards in urban environments and cascading failures across interdependent exposed systems in cities.Existing risk assessment models often fail to capture the complexity of these processes,particularly when factoring in human decision-making.To tackle these challenges,we advocate for a standardized taxonomy of cascading hazards,urban components,and their interactions.At its core is a people-centric perspective,emphasizing the bidirectional interactions between people and the systems that serve them.Building on this foundation,we argue the need for an integrated,people-centric risk assessment framework that evaluates event impacts in relation to the hierarchical needs of people and incorporates their preparedness and response capacities.By leveraging real-time data,advanced simulations,and innovative validation methods,this framework aims to enhance the accuracy of coupled urban risk modeling.To effectively manage coupled urban risks,cities can draw from proven strategies in real complex systems.However,given the escalating uncertainties and complexities associated with climate change,prioritizing people-centric strategies is crucial.This approach will empower cities to build resilience not only against known hazards but also against evolving and unforeseen challenges in an increasingly uncertain world.展开更多
Risk management often plays an important role in decision making un-der uncertainty.In quantitative risk management,assessing and optimizing risk metrics requires eficient computing techniques and reliable theoretical...Risk management often plays an important role in decision making un-der uncertainty.In quantitative risk management,assessing and optimizing risk metrics requires eficient computing techniques and reliable theoretical guarantees.In this pa-per,we introduce several topics on quantitative risk management and review some of the recent studies and advancements on the topics.We consider several risk metrics and study decision models that involve the metrics,with a main focus on the related com-puting techniques and theoretical properties.We show that stochastic optimization,as a powerful tool,can be leveraged to effectively address these problems.展开更多
With the increase of international trade activities and the gradual melting of the polar ice cap,the importance of the Arctic route for marine transportation has been emphasized.Prediction of the polar navigation wind...With the increase of international trade activities and the gradual melting of the polar ice cap,the importance of the Arctic route for marine transportation has been emphasized.Prediction of the polar navigation window period is crucial for navigating in the Arctic route,which is of great significance to the selection of the route and the optimization of navigation.This paper introduces the establishment of a risk index system,determination of risk index weight,establishment of a risk evaluation model,and prediction algorithm for the window period.In addition,data sources of both environmental factors and ship factors are introducted,and their shortcomings are analyzed,followed by introduction of various methods involved in window prediction and analysis of their advantages and disadvantages.The quantitative risk evaluation and window period algorithm can provide a reference for the research of polar navigation window period prediction.展开更多
This paper examines the role of internal audit and the incorporation of Environmental,Social,and Governance(ESG)factors within the corporate governance frameworks of Greek firms in mitigating their financial risk.Time...This paper examines the role of internal audit and the incorporation of Environmental,Social,and Governance(ESG)factors within the corporate governance frameworks of Greek firms in mitigating their financial risk.Time series econometric analysis was performed to determine the factors that influence financial stability,transparency,and regulatory compliance in Greek Firms.Data were collected from 120 internal auditors and financial professionals employed in organizations across multiple sectors of the Greek economy.In line with existing literature,findings show that robust internal audit and ESG practices are essential in promoting financial stability,transparency,and regulatory compliance.The paper provides empirical evidence that well-structured internal audit mechanisms and effective ESG initiatives reduce financial risks,while enhancing organizational sustainability and resilience.The results emphasize the growing importance of ESG considerations in corporate governance and suggest that improvements in both internal audit systems,as well as robust ESG policies,can strengthen risk management strategies and improve long-term financial performance.While previous research has thoroughly investigated the impact of internal audits on financial stability and the influence of ESG on corporate sustainability,this paper specifically examines their combined effect on financial risk management.Using firm level data across various sectors of the Greek economy,this study provides insights into how internal audit and ESG policies can jointly contribute towards enhancing financial resilience,transparency,and regulatory compliance.展开更多
BACKGROUND Rabies is a zoonotic viral disease affecting the central nervous system,caused by the rabies virus,with a case-fatality rate of 100%once symptoms appear.AIM To analyze high-risk factors associated with ment...BACKGROUND Rabies is a zoonotic viral disease affecting the central nervous system,caused by the rabies virus,with a case-fatality rate of 100%once symptoms appear.AIM To analyze high-risk factors associated with mental disorders induced by rabies vaccination and to construct a risk prediction model to inform strategies for improving patients’mental health.METHODS Patients who received rabies vaccinations at the Department of Infusion Yiwu Central Hospital between August 2024 and July 2025 were included,totaling 384 cases.Data were collected from medical records and included demographic characteristics(age,gender,occupation),lifestyle habits,and details regarding vaccine type,dosage,and injection site.The incidence of psychiatric disorders following vaccination was assessed using standardized anxiety and depression rating scales.Patients were categorized into two groups based on the presence or absence of anxiety and depression symptoms:The psychiatric disorder group and the non-psychiatric disorder group.Differences between the two groups were compared,and high-risk factors were identified using multivariate logistic regression analysis.A predictive model was then developed based on these factors to evaluate its predictive performance.RESULTS Among the 384 patients who received rabies vaccinations,36 cases(9.38%)were diagnosed with anxiety,52 cases(13.54%)with depression,and 88 cases(22.92%)with either condition.Logistic regression analysis identified the following signi ficant risk factors for psychiatric disorders:Education level of primary school or below,exposure site at the head and neck,exposure classified as grade III,family status of divorced/widowed/unmarried/living alone,number of wounds greater than one,and low awareness of rabies prevention and control(P<0.05).The risk prediction model demonstrated good performance,with an area under the receiver operating characteristic curve of 0.859,a specificity of 74.42%,and a sensitivity of 93.02%.CONCLUSION In real-world settings,psychiatric disorders following rabies vaccination are relatively common and are associated with factors such as lower education level,higher exposure severity,vulnerable family status,and limited awareness of rabies prevention and control.The developed risk prediction model may aid in early identification of high-risk individuals and support timely clinical intervention.展开更多
BACKGROUND This study aimed to compare and analyze risk factors for pancreatic fistula following pancreaticoduodenectomy(PD)using different definition criteria,and to develop a predictive model for standardized pancre...BACKGROUND This study aimed to compare and analyze risk factors for pancreatic fistula following pancreaticoduodenectomy(PD)using different definition criteria,and to develop a predictive model for standardized pancreatic fistula risk assessment.AIM To identify and compare risk factors for postoperative pancreatic fistula(POPF)following PD using both the 2005 International Study Group of Pancreatic Fistula and updated 2016 International Study Group on Pancreatic Surgery diagnostic criteria,and to develop a clinically applicable predictive model based on objective preoperative parameters for standardized pancreatic fistula risk assessment and perioperative management optimization.METHODS We conducted a retrospective analysis of 303 patients who underwent PD at CR&WISCO General Hospital between January 2017 and May 2023.POPF cases were classified according to both previous and updated diagnostic standards.For statistical analysis,we employed t-tests or Mann-Whitney U tests for continuous variables andχ^(2) tests for categorical data.To identify risk factors associated with POPF under both classification systems,we performed univariate and multivariate logistic regression analyses.RESULTS Univariate analysis identified several factors associated with POPF:Main pancreatic duct diameter(χ^(2)=31.641,P<0.001),main pancreatic duct index(χ^(2)=52.777,P<0.001),portal vein invasion(χ^(2)=6.259,P=0.012),intra-abdominal fat thickness(χ^(2)=7.665,P=0.006),preoperative biliary drainage(χ^(2)=5.999,P=0.014),pancreatic characteristics(χ^(2)=5.544,P=0.019),pancreatic resection margin thickness(t=2.055,P=0.032),pancreatic computed tomography(CT)value(t=-3.224,P=0.002),and preoperative blood amylase level(Z=-2.099,P=0.036).Multivariate logistic regression identified three independent risk factors:Main pancreatic duct index[odds ratio(OR)=0.000,95%confidence interval(CI):0.000-0.011],pancreatic cancer[OR=4.843,95%CI:1.285-18.254],and pancreatic CT value[OR=0.869,95%CI:0.806-0.937](all P<0.05).CONCLUSION The main pancreatic duct index and pancreatic CT value are strongly correlated with pancreatic fistula development after PD.展开更多
Despite the increasing global emphasis on decentralized disaster risk reduction(DRR),the capacity of local institutions to implement eff ective risk governance strategies remains inconsistent and often inadequate.This...Despite the increasing global emphasis on decentralized disaster risk reduction(DRR),the capacity of local institutions to implement eff ective risk governance strategies remains inconsistent and often inadequate.This study conducted a comparative analysis of institutional vulnerability at the municipal level in two hazard-prone regions:Teziutlán,Mexico,and Tola,Nicaragua.It employed comparative case study methods alongside structured surveys administered to local DRR actors.An integrated analytical framework was used,synthesizing the Pressure and Release model,the Forensic Investigations of Disasters approach,the MOVE framework,and the Institutional Analysis and Development model.The research identified key institutional vulnerabilities,including preparedness,coordination,information access,infrastructure,legal enforcement,climate integration,and informal governance.The findings indicate that the deficiencies within these institutions are not merely technical but are significantly influenced by systemic disparities in power,resource allocation,and political stability.Both municipalities exhibit notable gaps between formal DRR mandates and their operational implementation,reflecting a structural disjunction between institutions articulated in policy(institutions-in-form)and those in practice(institutions-inuse).The study concluded that eff ectively addressing institutional vulnerability necessitates transitioning from compliancedriven reforms towards integrated strategies that foster institutional learning,enhance cross-sectoral coordination,promote climate adaptation,and acknowledge informal and community-based governance structures.These findings off er policyrelevant insights for national and regional policymakers seeking to strengthen the institutional foundations of local DRR implementation within Latin America and comparable decentralized governance contexts.展开更多
In recent years,many enterprises have been unable to repay debts on schedule due to liquidity constraints,leading to prominent debt risks in financial institutions.To mitigate such risks,this study takes CDL Securitie...In recent years,many enterprises have been unable to repay debts on schedule due to liquidity constraints,leading to prominent debt risks in financial institutions.To mitigate such risks,this study takes CDL Securities as a case example.Empirical analysis is conducted on the interest rate spreads and returns of CDL’s investments in all A-share listed companies in China from 2015 to 2019(based on 2011–2018 stock indices).Based on the findings,specific strategies are proposed,including:improving the debt risk management system,optimizing debt financing structures and capital allocation,and strengthening internal governance and external controls.展开更多
The longitudinal ventilation strategy is commonly used for road tunnels in urban environment in Sweden.This is partly due to how tunnels in urban environment was planned and designed before the EU Directive[1](2004/54...The longitudinal ventilation strategy is commonly used for road tunnels in urban environment in Sweden.This is partly due to how tunnels in urban environment was planned and designed before the EU Directive[1](2004/54/EC)came in place.Even in new tunnels both to practical and economic reasons the use of longitudinal ventilation has been an outspoken demand from the Swedish road authority,SRA.Swedish law[2]requires that a risk analysis is carried out to demonstrate that an acceptable level of risk is achieved in the tunnels with longitudinal ventilation if there is a risk of queues.Otherwise transverse or semi-transverse ventilation strategy shall be used.During recent development,or a late awakening,it is clear that dense populated areas in Sweden will experience queues.This threatens the foundation of the Swedish modern tunnel safety concept which calls for enhancement.This paper presents the risk-reducing effect of three alternative strategies,enhancements package,focusing on evacuation safety for road users.It is a combination of traffic management,fixed firefighting systems,reduced distance between escape routes and regulation of traffic with dangerous goods.In addition,it provides a comprehensive review of safety system details,combined with a longitudinal ventilation concept.展开更多
Mycotoxins are the toxic metabolites produced by the fungi that grow in food crops;however,the modified mycotoxins are the undetectable metabolites during testing for the parent mycotoxin.Although more than 300 mycoto...Mycotoxins are the toxic metabolites produced by the fungi that grow in food crops;however,the modified mycotoxins are the undetectable metabolites during testing for the parent mycotoxin.Although more than 300 mycotoxins were discovered and identified,little is known about the effects of most of them or their modified forms on child health.Aflatoxins are well known to induce liver cancer and play a significant role in the impairment of child growth.Fumonisin also are known to induce esophageal cancer and neural tube defects.However,deoxynivalenol and the other trichothecenes are well known as immunotoxic and induce gastroenteritis.In this review,the adverse health hazards in children associated with the major mycotoxins as well as the modified forms of fusarium mycotoxins were described.Additionally,the global burden of the health ghazards resulted from the exposure of children to dietary mycotoxin.The risk assessment,risk characterization and the challenges in risk characterization of multiple mycotoxins in children food were discussed.展开更多
As the country with the highest number of dams in the world,China’s dam safety management and risk control are crucial to public safety and economic development.This paper systematically analyzes the current status o...As the country with the highest number of dams in the world,China’s dam safety management and risk control are crucial to public safety and economic development.This paper systematically analyzes the current status of dam safety in China,explores the causes of accidents such as design and construction defects,poor operation management,the impact of natural disasters,and proposes comprehensive dam safety management measures based on these analyses.展开更多
BACKGROUND The prevalence of coronary heart disease(CHD)is higher in patients with depression than in the general population.Recently,multiple novel biomarkers have been proposed to predict CHD risk,and these factors ...BACKGROUND The prevalence of coronary heart disease(CHD)is higher in patients with depression than in the general population.Recently,multiple novel biomarkers have been proposed to predict CHD risk,and these factors have been reported to be altered in patients with depression.AIM To explore whether these new biomarkers are associated with an increased risk of CHD in patients with depression.METHODS We recruited 279 healthy controls and 164 sex-and age-matched patients with depression and collected their clinical characteristics and laboratory values of novel cardiovascular biomarkers.The Framingham CHD risk score was used to assess the CHD risk of all individuals,and the cardiovascular markers related to the CHD risk in patients with depression were analyzed.RESULTS Patients with depression had an increased CHD risk of 5.3%(95%confidence interval:4.470-6.103)and altered novel cardiovascular biomarkers compared to healthy controls,which included lower levels of thyroid stimulating hormone,albumin,total bilirubin,total cholesterol,high-density lipoprotein cholesterol,and higher levels of triglyceride(TG)and uric acid.Further regression analysis showed that illness duration,family history of depression,serum TG,and urea acid levels were significantly correlated with the Framingham risk score in patients with depression.CONCLUSION Patients with depression had a higher CHD risk and that their illness duration,family history of depression,serum TG,and uric acid levels could play important roles in predicting CHD risk.Moreover,elevated CHD risk in patients with depression was not only related to physiological changes caused by depression but also to their genetic susceptibility.展开更多
This study proposes a dual-architecture Explainable Artificial Intelligence(XAI)framework designed to unify risk scoring methodologies across corporate and retail lending domains.The framework leverages wavelet-based ...This study proposes a dual-architecture Explainable Artificial Intelligence(XAI)framework designed to unify risk scoring methodologies across corporate and retail lending domains.The framework leverages wavelet-based decomposition to extract multi-resolution features from corporate cash flow time series,while employing Bidirectional Long Short-Term Memory(Bi-LSTM)autoencoders to generate latent representations of retail transaction behaviors.These heter-ogeneous representations are integrated via a novel interpretability mechanism,CrossSHAP,which enables cross-domain attribution analysis and consistent ex-planation of model outputs.The proposed system is further distinguished by its alignment with regulatory standards,incorporating automated mappings into Basel III Pillar 3 disclosures and Equal Credit Opportunity Act(ECOA)adverse action codes to support regulatory transparency and compliance.To facilitate model validation and fairness assessments,the framework also incorporates a synthetic data generation module that preserves high-order financial depend-encies and inter-variable dynamics.Comprehensive evaluation following the SAFE ML paradigm demonstrates robust performance in all aspects of safety,accountability,fairness,and ethics.The proposed architecture contributes to the advancement of interpretable machine learning in financial risk modeling by enabling robust,transparent,and regulation-aware credit decisioning across diverse borrower segments.展开更多
This study introduces antifragility as a transformative lens for disaster risk governance,shifting emphasis from restoration to disruption-induced improvement of systems.We distill six principles for operationalizing ...This study introduces antifragility as a transformative lens for disaster risk governance,shifting emphasis from restoration to disruption-induced improvement of systems.We distill six principles for operationalizing antifragility in disaster risk reduction contexts and delineate ethical,systemic,and learning-based implications for future resilience.Together,these elements reframe disaster risk governance as dynamic,adaptive,and self-reinforcing amid compounding climate risks.展开更多
The aging global population is driving an increase in dementia,making the early identification of at-risk individuals crucial.Studies have shown that elderly people often exhibit a slowing gait before dementia diagnos...The aging global population is driving an increase in dementia,making the early identification of at-risk individuals crucial.Studies have shown that elderly people often exhibit a slowing gait before dementia diagnosis,which is linked to cognitive decline and predicts dementia risk.With 30%of those over 65 years of age experiencing falls annually,managing fall risk is essential.Motoric cognitive risk syndrome(MCR),characterized by subjective memory impairment and slow gait,is a pre-dementia condition that can identify high-risk individuals without extensive evaluation.The prevalence of MCR varies globally and is associated with an increased risk of falls,disability,and death.Early screening and intervention for MCR can delay dementia and improve fall regulation,offering a new perspective on elderly health management.This review synthesizes the current understanding of MCR-related falls,evaluates risk assessment methods,and discusses health strategies to provide a theoretical basis for fall prevention in community-dwelling older adults.展开更多
Construction work is an important component of social development,and its safety management is crucial for the protection of employees’lives,the efficient development of enterprises,and the social harmony and stabili...Construction work is an important component of social development,and its safety management is crucial for the protection of employees’lives,the efficient development of enterprises,and the social harmony and stability.Therefore,this paper explores the risk identification,risk estimation,risk evaluation,and control strategies of construction sites.It analyzes the research progress,current issues that need optimization,and future development directions,aiming to provide insights for the development of risk evaluation in construction sites.展开更多
BACKGROUND Research has shown that several factors can influence postoperative abnormal liver function;however,most studies on this issue have focused specifically on hepatic and cardiac surgeries,leaving limited rese...BACKGROUND Research has shown that several factors can influence postoperative abnormal liver function;however,most studies on this issue have focused specifically on hepatic and cardiac surgeries,leaving limited research on contributing factors in other types of surgeries.AIM To identify the risk factors for early postoperative abnormal liver function in multiple surgery types and construct a risk prediction model.METHODS This retrospective cohort study involved 3720 surgical patients from 5 surgical departments at Guangdong Provincial Hospital of Traditional Chinese Medicine.Patients were divided into abnormal(n=108)and normal(n=3612)groups based on liver function post-surgery.Univariate analysis and LASSO regression screened variables,followed by logistic regression to identify risk factors.A prediction model was constructed based on the variables selected via logistic re-gression.The goodness-of-fit of the model was evaluated using the Hosm-er–Lemeshow test,while discriminatory ability was measured by the area under the receiver operating characteristic curve.Calibration curves were plotted to visualize the consistency between predicted probabilities and observed outcomes.RESULTS The key factors contributing to abnormal liver function after surgery include elevated aspartate aminotransferase and alanine aminotransferase levels and reduced platelet counts pre-surgery,as well as the sevoflurane use during the procedure,among others.CONCLUSION The above factors collectively represent notable risk factors for postoperative liver function injury,and the prediction model developed based on these factors demonstrates strong predictive efficacy.展开更多
BACKGROUND Coronary heart disease(CHD)is a prevalent type 2 diabetes mellitus(T2DM)complication.Further,the risk stratification before angiography may help diagnose T2DM with CHD early.However,few studies have investi...BACKGROUND Coronary heart disease(CHD)is a prevalent type 2 diabetes mellitus(T2DM)complication.Further,the risk stratification before angiography may help diagnose T2DM with CHD early.However,few studies have investigated the coronary imaging characteristics and risk factors of patients with T2DM complicated with CHD.AIM To compare the differences in coronary imaging between patients with T2DM with and without CHD,determine the risk factors of T2DM complicated with CHD,and establish a predictive tool for diagnosing CHD in T2DM.METHODS This study retrospectively analyzed 103 patients with T2DM from January 2022 to May 2024.They are categorized based on CHD occurrence into:(1)The control group,consisting of patients with T2DM without CHD;and(2)The observation group,which includes patients with T2MD with CHD.Age,sex,smoking and drinking history,CHD family history,metformin(MET)treatment pre-admission,body mass index,fasting blood glucose(FBG),triglyceride(TG),total cholesterol,high-density lipoprotein cholesterol,low-density lipoprotein cholesterol(LDL-C),serum creatinine,blood urea nitrogen(BUN),alanine aminotransferase,aspartate aminotransferase,glycosylated hemoglobin(HbA1c),and coronary imaging data of both groups were collected from the medical record system.Logistic risk analysis was conducted to screen risk factors.The prediction model’s prediction efficiency was evaluated with receiver operating characteristic curves.RESULTS The control and observation groups consisted of 48 and 55 cases,respectively.The two groups were statistically different in terms of age(t=2.006,P=0.048),FBG(t=6.038,P=0.000),TG(t=2.015,P=0.047),LDL-C(t=2.017,P=0.046),and BUN(t=2.035,P=0.044).The observation group demonstrated lower proportions of patients receiving MET(χ^(2)=5.073,P=0.024)and higher proportions of patients with HbA1c of>7.0%(χ^(2)=6.980,P=0.008)than the control group.The observation group consisted of 15,17,and 23 cases of moderate stenosis,severe stenosis,and occlusion,respectively,with a greater number of coronary artery occlusion cases than the control group(χ^(2)=6.399,P=0.041).The observation group consisted significantly higher number of diffuse lesion cases at 35 compared with the control group(χ^(2)=15.420,P=0.000).The observation group demonstrated a higher right coronary artery(RCA)stenosis index(t=6.730,P=0.000),circumflex coronary artery(LCX)stenosis index(t=5.738,P=0.000),and total stenosis index(t=7.049,P=0.000)than the control group.FBG[odds ratio(OR)=1.472;95%confidence interval(CI):1.234-1.755;P=0.000]and HbA1c(OR=3.197;95%CI:1.149-8.896;P=0.026)were independent risk factors for T2DM complicated with CHD,whereas MET(OR=0.350;95%CI:0.129-0.952;P=0.040)was considered a protective factor for CHD in T2DM.CONCLUSION Coronary artery occlusion is a prevalent complication in patients with T2DM.Patients with T2MD with CHD demonstrated a higher degree of RCA and LCX stenosis than those with T2DM without CHD.FBG,HbA1c,and MET treatment history are risk factors for T2DM complicated with CHD.展开更多
基金supported by the Open Fund of the Granite Formation Research Center of China Geological Survey(grant numbers PMGR202009,PMGR202108,PMGR202115)the Geological Survey of China(grant number DD20190154).
文摘To assess the effect of mining activity on heavy metal pollution and associated health risks in tin mining regions,water and soil sampling was conducted near a tin mining site in Hunan Province.The content and distribution of heavy metals were determined.Pollution,ecological risks,and potential health hazards were evaluated using the ground accumulation index,potential ecological risk index,and health risk assessment models,respectively.The results indicated elevated levels of heavy metals in water and soil samples compared to acceptable background values.Ground accumulation index assessment revealed extreme pollution of soil with As and Cd and moderate pollution with Cu,Pb,and Zn.Cr and Hg were categorized as non-pollutants.Water samples exhibited extreme pollution levels of Hg,Cr,Cd,and As;moderate pollution levels of Pb;and moderate to high pollution levels of Cu and Zn.The tin mining area demonstrated a significantly high level of potential ecological risk,where As and Cd were the primary risk elements in soil,whereas Cr,Cd,and As contributed predominantly to water ecological risk.The human health risk assessment highlighted As,Cd,Cr,Hg,Pb,and Cu in water and As and Pb in soil as the principal non-carcinogenic factors.The primary carcinogenic factors were As,Cr,and Cd in water and As in soil,with As posing the greatest risk for non-carcinogenic and carcinogenic effects.Furthermore,oral intake was the primary exposure route,with children being particularly vulnerable to the adverse effects of heavy metal pollution.
基金supported by the National Natural Science Foundation of China(grant numbers 82204127 and 72204172)。
文摘Lung cancer, the leading cause of cancer deaths worldwide and in China, has a 19.7% five-year survival rate due to terminal-stage diagnosis^([1-3]).Although low-dose computed tomography(CT) screening can reduce mortality, high false positive rates can create economic and psychological burdens.
基金jointly supported by the National Natural Science Foundation of China(71821001,72371109,72071088,72074089,and 51938004)Strategic Study Project of Chinese Academy of Engineering(2022-JB-02)Project of Interdisciplinary Research Support Program in Huazhong University of Science and Technology(2023-32)。
文摘The complexity of coupled risks,which refer to the compounded effects of interacting uncertainties across multiple interdependent objectives,is inherent to cities functioning as dynamic,interdependent systems.A disruption in one domain ripples across various urban systems,often with unforeseen consequences.Central to this complexity are people,whose behaviors,needs,and vulnerabilities shape risk evolution and response effectiveness.Realizing cities as complex systems centered on human needs and behaviors is essential to understanding the complexities of coupled urban risks.This paper adopts a complex systems perspective to examine the intricacies of coupled urban risks,emphasizing the critical role of human decisions and behavior in shaping these dynamics.We focus on two key dimensions:cascading hazards in urban environments and cascading failures across interdependent exposed systems in cities.Existing risk assessment models often fail to capture the complexity of these processes,particularly when factoring in human decision-making.To tackle these challenges,we advocate for a standardized taxonomy of cascading hazards,urban components,and their interactions.At its core is a people-centric perspective,emphasizing the bidirectional interactions between people and the systems that serve them.Building on this foundation,we argue the need for an integrated,people-centric risk assessment framework that evaluates event impacts in relation to the hierarchical needs of people and incorporates their preparedness and response capacities.By leveraging real-time data,advanced simulations,and innovative validation methods,this framework aims to enhance the accuracy of coupled urban risk modeling.To effectively manage coupled urban risks,cities can draw from proven strategies in real complex systems.However,given the escalating uncertainties and complexities associated with climate change,prioritizing people-centric strategies is crucial.This approach will empower cities to build resilience not only against known hazards but also against evolving and unforeseen challenges in an increasingly uncertain world.
文摘Risk management often plays an important role in decision making un-der uncertainty.In quantitative risk management,assessing and optimizing risk metrics requires eficient computing techniques and reliable theoretical guarantees.In this pa-per,we introduce several topics on quantitative risk management and review some of the recent studies and advancements on the topics.We consider several risk metrics and study decision models that involve the metrics,with a main focus on the related com-puting techniques and theoretical properties.We show that stochastic optimization,as a powerful tool,can be leveraged to effectively address these problems.
文摘With the increase of international trade activities and the gradual melting of the polar ice cap,the importance of the Arctic route for marine transportation has been emphasized.Prediction of the polar navigation window period is crucial for navigating in the Arctic route,which is of great significance to the selection of the route and the optimization of navigation.This paper introduces the establishment of a risk index system,determination of risk index weight,establishment of a risk evaluation model,and prediction algorithm for the window period.In addition,data sources of both environmental factors and ship factors are introducted,and their shortcomings are analyzed,followed by introduction of various methods involved in window prediction and analysis of their advantages and disadvantages.The quantitative risk evaluation and window period algorithm can provide a reference for the research of polar navigation window period prediction.
文摘This paper examines the role of internal audit and the incorporation of Environmental,Social,and Governance(ESG)factors within the corporate governance frameworks of Greek firms in mitigating their financial risk.Time series econometric analysis was performed to determine the factors that influence financial stability,transparency,and regulatory compliance in Greek Firms.Data were collected from 120 internal auditors and financial professionals employed in organizations across multiple sectors of the Greek economy.In line with existing literature,findings show that robust internal audit and ESG practices are essential in promoting financial stability,transparency,and regulatory compliance.The paper provides empirical evidence that well-structured internal audit mechanisms and effective ESG initiatives reduce financial risks,while enhancing organizational sustainability and resilience.The results emphasize the growing importance of ESG considerations in corporate governance and suggest that improvements in both internal audit systems,as well as robust ESG policies,can strengthen risk management strategies and improve long-term financial performance.While previous research has thoroughly investigated the impact of internal audits on financial stability and the influence of ESG on corporate sustainability,this paper specifically examines their combined effect on financial risk management.Using firm level data across various sectors of the Greek economy,this study provides insights into how internal audit and ESG policies can jointly contribute towards enhancing financial resilience,transparency,and regulatory compliance.
基金Supported by the 2024 Yiwu City Research Plan Project,No.24-3-102.
文摘BACKGROUND Rabies is a zoonotic viral disease affecting the central nervous system,caused by the rabies virus,with a case-fatality rate of 100%once symptoms appear.AIM To analyze high-risk factors associated with mental disorders induced by rabies vaccination and to construct a risk prediction model to inform strategies for improving patients’mental health.METHODS Patients who received rabies vaccinations at the Department of Infusion Yiwu Central Hospital between August 2024 and July 2025 were included,totaling 384 cases.Data were collected from medical records and included demographic characteristics(age,gender,occupation),lifestyle habits,and details regarding vaccine type,dosage,and injection site.The incidence of psychiatric disorders following vaccination was assessed using standardized anxiety and depression rating scales.Patients were categorized into two groups based on the presence or absence of anxiety and depression symptoms:The psychiatric disorder group and the non-psychiatric disorder group.Differences between the two groups were compared,and high-risk factors were identified using multivariate logistic regression analysis.A predictive model was then developed based on these factors to evaluate its predictive performance.RESULTS Among the 384 patients who received rabies vaccinations,36 cases(9.38%)were diagnosed with anxiety,52 cases(13.54%)with depression,and 88 cases(22.92%)with either condition.Logistic regression analysis identified the following signi ficant risk factors for psychiatric disorders:Education level of primary school or below,exposure site at the head and neck,exposure classified as grade III,family status of divorced/widowed/unmarried/living alone,number of wounds greater than one,and low awareness of rabies prevention and control(P<0.05).The risk prediction model demonstrated good performance,with an area under the receiver operating characteristic curve of 0.859,a specificity of 74.42%,and a sensitivity of 93.02%.CONCLUSION In real-world settings,psychiatric disorders following rabies vaccination are relatively common and are associated with factors such as lower education level,higher exposure severity,vulnerable family status,and limited awareness of rabies prevention and control.The developed risk prediction model may aid in early identification of high-risk individuals and support timely clinical intervention.
文摘BACKGROUND This study aimed to compare and analyze risk factors for pancreatic fistula following pancreaticoduodenectomy(PD)using different definition criteria,and to develop a predictive model for standardized pancreatic fistula risk assessment.AIM To identify and compare risk factors for postoperative pancreatic fistula(POPF)following PD using both the 2005 International Study Group of Pancreatic Fistula and updated 2016 International Study Group on Pancreatic Surgery diagnostic criteria,and to develop a clinically applicable predictive model based on objective preoperative parameters for standardized pancreatic fistula risk assessment and perioperative management optimization.METHODS We conducted a retrospective analysis of 303 patients who underwent PD at CR&WISCO General Hospital between January 2017 and May 2023.POPF cases were classified according to both previous and updated diagnostic standards.For statistical analysis,we employed t-tests or Mann-Whitney U tests for continuous variables andχ^(2) tests for categorical data.To identify risk factors associated with POPF under both classification systems,we performed univariate and multivariate logistic regression analyses.RESULTS Univariate analysis identified several factors associated with POPF:Main pancreatic duct diameter(χ^(2)=31.641,P<0.001),main pancreatic duct index(χ^(2)=52.777,P<0.001),portal vein invasion(χ^(2)=6.259,P=0.012),intra-abdominal fat thickness(χ^(2)=7.665,P=0.006),preoperative biliary drainage(χ^(2)=5.999,P=0.014),pancreatic characteristics(χ^(2)=5.544,P=0.019),pancreatic resection margin thickness(t=2.055,P=0.032),pancreatic computed tomography(CT)value(t=-3.224,P=0.002),and preoperative blood amylase level(Z=-2.099,P=0.036).Multivariate logistic regression identified three independent risk factors:Main pancreatic duct index[odds ratio(OR)=0.000,95%confidence interval(CI):0.000-0.011],pancreatic cancer[OR=4.843,95%CI:1.285-18.254],and pancreatic CT value[OR=0.869,95%CI:0.806-0.937](all P<0.05).CONCLUSION The main pancreatic duct index and pancreatic CT value are strongly correlated with pancreatic fistula development after PD.
基金the support of the National Council of Humanities,Sciences,and Technologies(CONAHCYT)for awarding a student fellowship to Gema Velásquez-EspinozaDGAPA-UNAM for the financial support provided through Project PAPIIT IN300823。
文摘Despite the increasing global emphasis on decentralized disaster risk reduction(DRR),the capacity of local institutions to implement eff ective risk governance strategies remains inconsistent and often inadequate.This study conducted a comparative analysis of institutional vulnerability at the municipal level in two hazard-prone regions:Teziutlán,Mexico,and Tola,Nicaragua.It employed comparative case study methods alongside structured surveys administered to local DRR actors.An integrated analytical framework was used,synthesizing the Pressure and Release model,the Forensic Investigations of Disasters approach,the MOVE framework,and the Institutional Analysis and Development model.The research identified key institutional vulnerabilities,including preparedness,coordination,information access,infrastructure,legal enforcement,climate integration,and informal governance.The findings indicate that the deficiencies within these institutions are not merely technical but are significantly influenced by systemic disparities in power,resource allocation,and political stability.Both municipalities exhibit notable gaps between formal DRR mandates and their operational implementation,reflecting a structural disjunction between institutions articulated in policy(institutions-in-form)and those in practice(institutions-inuse).The study concluded that eff ectively addressing institutional vulnerability necessitates transitioning from compliancedriven reforms towards integrated strategies that foster institutional learning,enhance cross-sectoral coordination,promote climate adaptation,and acknowledge informal and community-based governance structures.These findings off er policyrelevant insights for national and regional policymakers seeking to strengthen the institutional foundations of local DRR implementation within Latin America and comparable decentralized governance contexts.
文摘In recent years,many enterprises have been unable to repay debts on schedule due to liquidity constraints,leading to prominent debt risks in financial institutions.To mitigate such risks,this study takes CDL Securities as a case example.Empirical analysis is conducted on the interest rate spreads and returns of CDL’s investments in all A-share listed companies in China from 2015 to 2019(based on 2011–2018 stock indices).Based on the findings,specific strategies are proposed,including:improving the debt risk management system,optimizing debt financing structures and capital allocation,and strengthening internal governance and external controls.
文摘The longitudinal ventilation strategy is commonly used for road tunnels in urban environment in Sweden.This is partly due to how tunnels in urban environment was planned and designed before the EU Directive[1](2004/54/EC)came in place.Even in new tunnels both to practical and economic reasons the use of longitudinal ventilation has been an outspoken demand from the Swedish road authority,SRA.Swedish law[2]requires that a risk analysis is carried out to demonstrate that an acceptable level of risk is achieved in the tunnels with longitudinal ventilation if there is a risk of queues.Otherwise transverse or semi-transverse ventilation strategy shall be used.During recent development,or a late awakening,it is clear that dense populated areas in Sweden will experience queues.This threatens the foundation of the Swedish modern tunnel safety concept which calls for enhancement.This paper presents the risk-reducing effect of three alternative strategies,enhancements package,focusing on evacuation safety for road users.It is a combination of traffic management,fixed firefighting systems,reduced distance between escape routes and regulation of traffic with dangerous goods.In addition,it provides a comprehensive review of safety system details,combined with a longitudinal ventilation concept.
文摘Mycotoxins are the toxic metabolites produced by the fungi that grow in food crops;however,the modified mycotoxins are the undetectable metabolites during testing for the parent mycotoxin.Although more than 300 mycotoxins were discovered and identified,little is known about the effects of most of them or their modified forms on child health.Aflatoxins are well known to induce liver cancer and play a significant role in the impairment of child growth.Fumonisin also are known to induce esophageal cancer and neural tube defects.However,deoxynivalenol and the other trichothecenes are well known as immunotoxic and induce gastroenteritis.In this review,the adverse health hazards in children associated with the major mycotoxins as well as the modified forms of fusarium mycotoxins were described.Additionally,the global burden of the health ghazards resulted from the exposure of children to dietary mycotoxin.The risk assessment,risk characterization and the challenges in risk characterization of multiple mycotoxins in children food were discussed.
文摘As the country with the highest number of dams in the world,China’s dam safety management and risk control are crucial to public safety and economic development.This paper systematically analyzes the current status of dam safety in China,explores the causes of accidents such as design and construction defects,poor operation management,the impact of natural disasters,and proposes comprehensive dam safety management measures based on these analyses.
基金Supported by the National Natural Science Foundation of China,No.82301737.
文摘BACKGROUND The prevalence of coronary heart disease(CHD)is higher in patients with depression than in the general population.Recently,multiple novel biomarkers have been proposed to predict CHD risk,and these factors have been reported to be altered in patients with depression.AIM To explore whether these new biomarkers are associated with an increased risk of CHD in patients with depression.METHODS We recruited 279 healthy controls and 164 sex-and age-matched patients with depression and collected their clinical characteristics and laboratory values of novel cardiovascular biomarkers.The Framingham CHD risk score was used to assess the CHD risk of all individuals,and the cardiovascular markers related to the CHD risk in patients with depression were analyzed.RESULTS Patients with depression had an increased CHD risk of 5.3%(95%confidence interval:4.470-6.103)and altered novel cardiovascular biomarkers compared to healthy controls,which included lower levels of thyroid stimulating hormone,albumin,total bilirubin,total cholesterol,high-density lipoprotein cholesterol,and higher levels of triglyceride(TG)and uric acid.Further regression analysis showed that illness duration,family history of depression,serum TG,and urea acid levels were significantly correlated with the Framingham risk score in patients with depression.CONCLUSION Patients with depression had a higher CHD risk and that their illness duration,family history of depression,serum TG,and uric acid levels could play important roles in predicting CHD risk.Moreover,elevated CHD risk in patients with depression was not only related to physiological changes caused by depression but also to their genetic susceptibility.
文摘This study proposes a dual-architecture Explainable Artificial Intelligence(XAI)framework designed to unify risk scoring methodologies across corporate and retail lending domains.The framework leverages wavelet-based decomposition to extract multi-resolution features from corporate cash flow time series,while employing Bidirectional Long Short-Term Memory(Bi-LSTM)autoencoders to generate latent representations of retail transaction behaviors.These heter-ogeneous representations are integrated via a novel interpretability mechanism,CrossSHAP,which enables cross-domain attribution analysis and consistent ex-planation of model outputs.The proposed system is further distinguished by its alignment with regulatory standards,incorporating automated mappings into Basel III Pillar 3 disclosures and Equal Credit Opportunity Act(ECOA)adverse action codes to support regulatory transparency and compliance.To facilitate model validation and fairness assessments,the framework also incorporates a synthetic data generation module that preserves high-order financial depend-encies and inter-variable dynamics.Comprehensive evaluation following the SAFE ML paradigm demonstrates robust performance in all aspects of safety,accountability,fairness,and ethics.The proposed architecture contributes to the advancement of interpretable machine learning in financial risk modeling by enabling robust,transparent,and regulation-aware credit decisioning across diverse borrower segments.
文摘This study introduces antifragility as a transformative lens for disaster risk governance,shifting emphasis from restoration to disruption-induced improvement of systems.We distill six principles for operationalizing antifragility in disaster risk reduction contexts and delineate ethical,systemic,and learning-based implications for future resilience.Together,these elements reframe disaster risk governance as dynamic,adaptive,and self-reinforcing amid compounding climate risks.
文摘The aging global population is driving an increase in dementia,making the early identification of at-risk individuals crucial.Studies have shown that elderly people often exhibit a slowing gait before dementia diagnosis,which is linked to cognitive decline and predicts dementia risk.With 30%of those over 65 years of age experiencing falls annually,managing fall risk is essential.Motoric cognitive risk syndrome(MCR),characterized by subjective memory impairment and slow gait,is a pre-dementia condition that can identify high-risk individuals without extensive evaluation.The prevalence of MCR varies globally and is associated with an increased risk of falls,disability,and death.Early screening and intervention for MCR can delay dementia and improve fall regulation,offering a new perspective on elderly health management.This review synthesizes the current understanding of MCR-related falls,evaluates risk assessment methods,and discusses health strategies to provide a theoretical basis for fall prevention in community-dwelling older adults.
文摘Construction work is an important component of social development,and its safety management is crucial for the protection of employees’lives,the efficient development of enterprises,and the social harmony and stability.Therefore,this paper explores the risk identification,risk estimation,risk evaluation,and control strategies of construction sites.It analyzes the research progress,current issues that need optimization,and future development directions,aiming to provide insights for the development of risk evaluation in construction sites.
基金Supported by Guangdong Provincial Hospital of Chinese Medicine Science and Technology Research Special Project,No.YN2023WSSQ01State Key Laboratory of Traditional Chinese Medicine Syndrome.
文摘BACKGROUND Research has shown that several factors can influence postoperative abnormal liver function;however,most studies on this issue have focused specifically on hepatic and cardiac surgeries,leaving limited research on contributing factors in other types of surgeries.AIM To identify the risk factors for early postoperative abnormal liver function in multiple surgery types and construct a risk prediction model.METHODS This retrospective cohort study involved 3720 surgical patients from 5 surgical departments at Guangdong Provincial Hospital of Traditional Chinese Medicine.Patients were divided into abnormal(n=108)and normal(n=3612)groups based on liver function post-surgery.Univariate analysis and LASSO regression screened variables,followed by logistic regression to identify risk factors.A prediction model was constructed based on the variables selected via logistic re-gression.The goodness-of-fit of the model was evaluated using the Hosm-er–Lemeshow test,while discriminatory ability was measured by the area under the receiver operating characteristic curve.Calibration curves were plotted to visualize the consistency between predicted probabilities and observed outcomes.RESULTS The key factors contributing to abnormal liver function after surgery include elevated aspartate aminotransferase and alanine aminotransferase levels and reduced platelet counts pre-surgery,as well as the sevoflurane use during the procedure,among others.CONCLUSION The above factors collectively represent notable risk factors for postoperative liver function injury,and the prediction model developed based on these factors demonstrates strong predictive efficacy.
基金Supported by the Science and Technology Major Project of Changzhou Science and Technology Bureau,No.CE20205047Natural Science Foundation of Xinjiang Uygur Autonomous Region,No.2022D01F52Changzhou A Major Scientific Research Project of the Municipal Health Commission,No.ZD202220.
文摘BACKGROUND Coronary heart disease(CHD)is a prevalent type 2 diabetes mellitus(T2DM)complication.Further,the risk stratification before angiography may help diagnose T2DM with CHD early.However,few studies have investigated the coronary imaging characteristics and risk factors of patients with T2DM complicated with CHD.AIM To compare the differences in coronary imaging between patients with T2DM with and without CHD,determine the risk factors of T2DM complicated with CHD,and establish a predictive tool for diagnosing CHD in T2DM.METHODS This study retrospectively analyzed 103 patients with T2DM from January 2022 to May 2024.They are categorized based on CHD occurrence into:(1)The control group,consisting of patients with T2DM without CHD;and(2)The observation group,which includes patients with T2MD with CHD.Age,sex,smoking and drinking history,CHD family history,metformin(MET)treatment pre-admission,body mass index,fasting blood glucose(FBG),triglyceride(TG),total cholesterol,high-density lipoprotein cholesterol,low-density lipoprotein cholesterol(LDL-C),serum creatinine,blood urea nitrogen(BUN),alanine aminotransferase,aspartate aminotransferase,glycosylated hemoglobin(HbA1c),and coronary imaging data of both groups were collected from the medical record system.Logistic risk analysis was conducted to screen risk factors.The prediction model’s prediction efficiency was evaluated with receiver operating characteristic curves.RESULTS The control and observation groups consisted of 48 and 55 cases,respectively.The two groups were statistically different in terms of age(t=2.006,P=0.048),FBG(t=6.038,P=0.000),TG(t=2.015,P=0.047),LDL-C(t=2.017,P=0.046),and BUN(t=2.035,P=0.044).The observation group demonstrated lower proportions of patients receiving MET(χ^(2)=5.073,P=0.024)and higher proportions of patients with HbA1c of>7.0%(χ^(2)=6.980,P=0.008)than the control group.The observation group consisted of 15,17,and 23 cases of moderate stenosis,severe stenosis,and occlusion,respectively,with a greater number of coronary artery occlusion cases than the control group(χ^(2)=6.399,P=0.041).The observation group consisted significantly higher number of diffuse lesion cases at 35 compared with the control group(χ^(2)=15.420,P=0.000).The observation group demonstrated a higher right coronary artery(RCA)stenosis index(t=6.730,P=0.000),circumflex coronary artery(LCX)stenosis index(t=5.738,P=0.000),and total stenosis index(t=7.049,P=0.000)than the control group.FBG[odds ratio(OR)=1.472;95%confidence interval(CI):1.234-1.755;P=0.000]and HbA1c(OR=3.197;95%CI:1.149-8.896;P=0.026)were independent risk factors for T2DM complicated with CHD,whereas MET(OR=0.350;95%CI:0.129-0.952;P=0.040)was considered a protective factor for CHD in T2DM.CONCLUSION Coronary artery occlusion is a prevalent complication in patients with T2DM.Patients with T2MD with CHD demonstrated a higher degree of RCA and LCX stenosis than those with T2DM without CHD.FBG,HbA1c,and MET treatment history are risk factors for T2DM complicated with CHD.
