1.Introduction Injury prevention is an essential element of science and medicine in sports,and it garners attention from stakeholders focused on minimizing athletes’injury risk.Catchy titles including“injury risk”o...1.Introduction Injury prevention is an essential element of science and medicine in sports,and it garners attention from stakeholders focused on minimizing athletes’injury risk.Catchy titles including“injury risk”or“injury prevention”are likely to grab the readers’attention.Meanwhile,studies on injury prevention might assess the impact of interventions on mitigating injury risk factors(e.g.,strength,range of motion(ROM))but fail to report injury data(e.g.,incidence).1,2 Likewise,observational studies may include“injury risk”in their titles,but fail to provide injury data.3 Without injury data.展开更多
This systematic review synthesizes empirical research on external risk factors for adolescent smartphone addiction.Scopus and Web of Science were searched for English peer-reviewed empirical articles from 2008 onward;...This systematic review synthesizes empirical research on external risk factors for adolescent smartphone addiction.Scopus and Web of Science were searched for English peer-reviewed empirical articles from 2008 onward;28 met inclusion criteria(excluding non-adolescents,generic internet addiction,non-empirical work,or non-English).Thematic synthesis organized findings into three external risk domains—family,school,and peers—considering cultural/contextual mechanisms.Family dynamics(parental phubbing,harsh parenting,dysfunction),school stressors,and adverse peer relationships were identified as accumulating,direct and indirect contributors to smartphone addiction.These operate within a techno-ecological framework,where digital technologies amplify vulnerabilities and create new pathways for maladaptive use.Evidence favors an ecological,multi-level perspective.Future research should use longitudinal designs,standardize measures across cultures,and examine understudied regions—especially Africa—to guide culturally sensitive interventions.展开更多
Background:Medical artificial intelligence(MAI)is a synthesis of medical science and artificial intelligence development,serving as a crucial field in the current advancement and application of AI.In the process of de...Background:Medical artificial intelligence(MAI)is a synthesis of medical science and artificial intelligence development,serving as a crucial field in the current advancement and application of AI.In the process of developing medical AI,there may arise not only legal risks such as infringement of privacy rights and health rights but also ethical risks stemming from violations of the principles of beneficence and non-maleficence.Methods:To effectively address the damages caused by MAI in the future,it is necessary to establish a hierarchical governance system with MAI.This paper examines the systematic collection of local practices in China and the induction and integration of legal remedies for the damage of MAI.Results:To effectively address the ethical and legal challenges of medical artificial intelligence,a hierarchical regulatory system should be established,which based on the impact of intervention measures on natural rights and differences in intervention timing.This paper finally obtains a legal hierarchical governance system corresponding to the ethical risks and legal risks of MAI in China.Conclusion:The Chinese government has formed a multi-agent governance system based on the impact of risks on rights and the timing of legal intervention,which provides a reference for other countries to follow up on the research on MAI risk management.展开更多
Under the“dual carbon”goals,it is imperative to incorporate carbon emissions-related factors into research of power grid risk assessment to meet the green transformation needs of the power grid.Therefore,this paper ...Under the“dual carbon”goals,it is imperative to incorporate carbon emissions-related factors into research of power grid risk assessment to meet the green transformation needs of the power grid.Therefore,this paper conducts a study on the risk assessment of carbon emissions changes in regional power grids based on dynamic carbon emission factors,aiming to quantitatively analyze the impact of random disturbances such as equipment failures or fluctuations in renewable energy generation on the carbon emission intensity of regional power grids.First,carbon emission change risk indicators are constructed from three dimensions:the probability,frequency,and magnitude of carbon emission changes.Second,a dynamic carbon emission factor calculation model is proposed to reflect the spatiotemporal change of carbon emissions in the regional power grid,considering output of different types of generators and the components of inter-area power transmission.Finally,with the premise of ensuring safe and stable operation of power grid,a quantitative assessment model for carbon emission change risks is proposed under the objective of minimizing the electricity loss.The sampling convergence conditions of the model are also derived.The results from the MRTS79 case study demonstrate the proposed method can effectively quantify and analyze the risk of carbon emissions changes in regional power grids,validating the effectiveness of the proposed model.展开更多
Antibiotics are widespread in aquatic environments due to their extensive use in human healthcare and ani-mal husbandry.However,research on the occurrence and bioaccumulation of antibiotics in aquatic organisms within...Antibiotics are widespread in aquatic environments due to their extensive use in human healthcare and ani-mal husbandry.However,research on the occurrence and bioaccumulation of antibiotics in aquatic organisms within shallow wetland lakes remains limited.This study investigated the occurrence and bioaccumulation of ten commonly used antibiotics in the Baiyang Lake,northern China’s largest shallow wetland lake.The results indicated that sulfonamides and fluoroquinolones were the predominant antibiotics in surface water,whereas fluoroquinolones and macrolides were more prevalent in sediment.Fluoroquinolones demonstrated significant potential for bioaccumulation in targeted aquatic organisms,including both animals and plants(Carassius au-ratus and Phragmites australis).The bioaccumulation of antibiotics in Carassius auratus was correlated with their solubility,whereas in Phragmites australis,this was associated with their octanol-water partition coefficients and molecular weights.Ecological risk assessment indicated that most antibiotics posed minimal to low risk levels.However,four antibiotics were exceptions:clarithromycin(12.5%)and sulfamethoxazole(6.25%)presented a high risk in surface water samples,while norfloxacin(25.0%)and ciprofloxacin(25.0%)posed a high risk in sediment samples.Norfloxacin,ciprofloxacin,and roxithromycin were identified as key indicator antibiotics for enhancing the local monitoring and control of antibiotic contamination based on four criteria:(1)high con-centrations,(2)frequent detection,(3)capacity for bioaccumulation,and(4)ecological risk levels.This study contributes to a deeper understanding of the status of antibiotic contamination,bioaccumulation characteristics,and ecological risk in Baiyang Lake,thereby supporting efforts to monitor and regulate antibiotic pollution.展开更多
Flood risk in South Africa remains a problem due to climate change,rapid urbanisation and persistent disparities in the region and low-income urban households are disproportionately impacted because of poor access to ...Flood risk in South Africa remains a problem due to climate change,rapid urbanisation and persistent disparities in the region and low-income urban households are disproportionately impacted because of poor access to affordable flood insurance.This paper constructs the Integrated Market Flood Risk Insurance Framework(IMFRIF)based on a qualitative,desk-based research design consisting of contextual policy analysis,systematic literature review and analytical synthesis through systems thinking.The policy and document analysis reviewed the legislation on national disaster management,insurance and industry reports to determine institutional and market limitations on the provision of flood insurance.A PRISMA-ScR systematic literature review filtered 312 records on Scopus,Web of Science,and Google Scholar,which led to the identification of 47 peer-reviewed articles and 15 policy and comparative case studies.Thematic analysis led to the identification of six prevail-ing clusters of barriers based on the influence on insurance uptake,which included affordability and product design,trust and risk perception,data and risk assessment gaps,regulatory capacity,multi-stakeholder coordi-nation,and community engagement.The results of these studies were used to design the IMFRIF,a system incorporating 9 major stakeholder groups and 5 interdependent system components into a single market-based design.The framework provides a systematic foundation to the resolution of systemic exclusion of flood insur-ance,but specifically acknowledges the implementation limitations regarding data availability,regulation ca-pacity,fiscal sustainability and communal level of trust.The IMFRIF is placed as a progressive and responsive system that offers a point of future empirical confirmation and policy implementation to promote inclusive disaster risk financing in South Africa and comparable low-and middle-income contexts.展开更多
Objective:To evaluate the cost-effectiveness of annual trivalent inactivated influenza vaccine(IIV3)under the context of Zhejiang province.Methods:A state transition simulation model was constructed to estimate the he...Objective:To evaluate the cost-effectiveness of annual trivalent inactivated influenza vaccine(IIV3)under the context of Zhejiang province.Methods:A state transition simulation model was constructed to estimate the health and economic outcomes of IIV3 vaccination program compared to no vaccination for hypothetical cohorts of Zhejiang province stratified by age and risk status.Model input parameters were chosen based on published literatures and expert advices.The analysis used societal perspectives and a one-year time horizon,and permanent outcomes were also included.The primary outcome was the incremental cost-effectiveness ratio(ICER),with expression of US dollars per quality adjusted life years(QALYs)gained.Results:In subgroups not at high risk for influenza-related complications(non-high risk subgroup),ICER ranged from $6268/QALY(for adults aged 50-64 years)to $11260/QALY(for children aged from 6 months to 4 years).In subgroups at high risk for influenza-related complications(high risk subgroup),ICER ranged from cost-saving(adults aged≥65 years)to $5260/QALY(for children aged from 6 months to 4 years).ICER were most sensitive to changes in probability of influenza illness,cost of hospitalization,and probability of death for adults aged 18-49 years with non-high risk status.Conclusions:ICERs of annual influenza vaccination varied by age and risk status but were less than the Gross Domestic Product(GDP)per capita of Zhejiang province($17745 in 2023),which remained cost-effective for all-age and different risk status groups from a societal perspective.展开更多
Objective:We assessed the risk for physical inactivity due to inadequate health literacy using multivariable analysis in a large middleaged population.Methods:This cross-sectional mail survey using a self-administered...Objective:We assessed the risk for physical inactivity due to inadequate health literacy using multivariable analysis in a large middleaged population.Methods:This cross-sectional mail survey using a self-administered questionnaire was conducted in 2020 and included 33,902 community residents aged 40-64 years from 5 cities in Osaka Prefecture,Japan.Of these,12,446(36.7%)agreed to participate in the survey.After exclusion of those with regular visits to medical institutions and those with missing data,the analysis included 3742 participants.Health literacy was measured by the communicative and critical health literacy(CCHL)scale,and participants were classified into 3 groups(low,medium,and high health literacy groups)by the tertiles of the CCHL scale score.Physical inactivity was defined as not completing at least 150 min of moderate-intensity physical activity throughout the week.Results:After adjustment for age,gender,education level,occupation,economic status,living alone,and stages of health behavior change,the multivariable-adjusted odds ratios(ORs)for physical inactivity were 1.36(95% confidence interval[CI]:1.16-1.59,P<0.001)in the medium health literacy group and 1.70(95%CI:1.36-2.11,P<0.001)in the low health literacy group compared with the high health literacy group.Conclusions:This large-scale study provides compelling evidence that those with inadequate health literacy are at higher risk for physical inactivity among middle-aged adults.展开更多
The pathophysiology of many ailments,including neurological,gastrointestinal,and metabolic disorders,is well known to be influenced by intestinal dysbiosis.Clinical research has provided evidence suggesting a strong c...The pathophysiology of many ailments,including neurological,gastrointestinal,and metabolic disorders,is well known to be influenced by intestinal dysbiosis.Clinical research has provided evidence suggesting a strong correlation between dysbiosis of the gut microbiome and colorectal cancer(CRC)development.The active reprogramming of metabolic pathways to boost glycolysis,fatty acid production,lipogenesis,and glutaminolysis constitutes a major metabolic shift in cancer development,including CRC.The complex combination of different factors leads to CRC,making it an environmental disease.These factors include food and lifestyle choices,genetics and family history,age,underlying intestinal diseases,and dysbiosis of the gut microbiota.One of the primary risk factors for carcinoma development is diet,which impacts an individual’s gut microbiome.In addition to impacting CRC formation,the gut microbiome also has immunomodulatory effects,including various immunological interactions and the underlying mechanisms governing them.Microbial interactions in CRC have been extensively studied,yet numerous unresolved queries exist on how gut bacteria can influence treatment.Microbiome-driven immunotherapies,focusing on probiotics,prebiotics,and synbiotics,represent a promising therapeutic avenue.However,large-scale treatment utilization in CRC patients is limited by several issues,including variations in the microbial makeup of each patient’s gut and a lack of established methods.The study highlights the impact of several risk factors,including dysbiosis of the gut microbiome and different approaches to halting and treating CRC progression with a focus on diet changes and modulation of the gut flora.Given the foregoing,we propose that if research gaps are addressed and immunotherapy is paired with microbial interventions,microbiota-based therapeutics could potentially impede the growth of tumors and treat CRC.展开更多
Rowlands et al.1present an analysis of accelerometer data from the UK Biobank cohort,examining variations in the duration,intensity,and accumulation of moderate-intensity physical activity(MPA)and vigorous-intensity p...Rowlands et al.1present an analysis of accelerometer data from the UK Biobank cohort,examining variations in the duration,intensity,and accumulation of moderate-intensity physical activity(MPA)and vigorous-intensity physical activity(VPA)sufficient to reduce the risk of all-cause mortality.In this study,the authors questioned if shorter durations(i.e.,1,2,3,4,5,10,15,and 20 min/day)of MPA and VPA performed continuously or accumulated throughout the day would equally reduce the risks of all-cause mortality as longer duration MPA and VPA recommended in the physical activity(PA)guidelines.展开更多
Purpose-This study explores how managerial leadership and organizational innovation interact to enhance resilience and risk management in railway supply chains and how these capabilities contribute to sustained compet...Purpose-This study explores how managerial leadership and organizational innovation interact to enhance resilience and risk management in railway supply chains and how these capabilities contribute to sustained competitive advantage.It emphasizes the strategic importance of resilience in railway systems that face operational complexity,regulatory pressures and increasing exposure to systemic risks.Design/methodology/approach-A mixed-methods design was employed,integrating survey data from 186 railway organizations with six case studies involving railway operators,rolling stock manufacturers and supply chain partners across multiple regions.Constructs were measured using validated scales and hypothesized relationships were tested using Structural Equation Modeling(SEM).Case study interviews were analyzed thematically to provide contextual understanding of leadership practices and innovation strategies.Findings-The results confirm that transformational managerial leadership significantly predicts innovation adoption,which in turn strengthens resilience and risk management capabilities.Resilience emerged as a powerful driver of competitive advantage,reinforcing its role as a strategic capability rather than a reactive response to disruptions.Furthermore,innovation was shown to partially mediate the relationship between leadership and resilience,highlighting its function as the operational channel through which vision translates into capability.Originality/value-This study contributes to the literature by integrating the Resource-Based View(RBV)and Dynamic Capabilities(DC)framework into the context of railway supply chains.It is among the first to empirically validate the mediating role of innovation between leadership and resilience,offering both theoretical advancements and actionable strategies for building resilient and competitive railway systems.展开更多
Dear Editor,With the growing food demands and the rapid development of intensive vegetable cultivation,the vegetable yield and planting area have increased to 230 million tons and 2.13 million hectares,respectively,in...Dear Editor,With the growing food demands and the rapid development of intensive vegetable cultivation,the vegetable yield and planting area have increased to 230 million tons and 2.13 million hectares,respectively,in China in 2021(MARAPRC,2023).展开更多
Objectives This study aimed to explore the lagged and cumulative effects of risk factors on disability in older adults using distributed lag non-linear models(DLNMs).Methods We utilized data from the China Health and ...Objectives This study aimed to explore the lagged and cumulative effects of risk factors on disability in older adults using distributed lag non-linear models(DLNMs).Methods We utilized data from the China Health and Retirement Longitudinal Study(CHARLS).After feature selection via Elastic Net Regularization,we applied DLNMs to evaluate the lagged effects of risk factors.Disability was defined as the presence of any difficulties in basic activities of daily living(BADL).The cumulative relative risk(CRR)was calculated by summing the lag-specific risk estimates,representing the cumulative disability risk over the specified lag period.Effect modifications and sensitivity analyses were also performed.Results This study included a total of 2,318 participants.Early-phase lag factors,such as the difficulty in stooping(CRR=3.58;95%CI:2.31-5.55;P<0.001)and walking(CRR=2.77;95%CI:1.39-5.55;P<0.001),exerted the strongest effects immediately upon occurrence.Mid-phase lag factors,such as arthritis(CRR=1.51;95%CI:1.10-2.06;P=0.001),showed a resurgence in disability risk within 2-3 years.Late-phase lag factors,including depressive symptoms(CRR=2.38;95%CI:1.30-4.35;P<0.001)and elevated systolic blood pressure(CRR=1.64;95%CI:1.06-2.79;P=0.02),exhibited significant long-term cumulative risks.Conversely,grip strength(CRR=0.80;95%CI:0.54-0.95;P=0.02)and social participation(CRR=0.89;95%CI:0.73-0.99;P=0.04)were significant protective factors.Conclusions The findings underscore the importance of tailored interventions that account for various lag characteristics of different factors to effectively mitigate disability risk.Future studies should explore the underlying biological and sociological mechanisms of these lagged effects,identify intervention strategies that target risk factors with different lagged patterns,and evaluate their effectiveness.展开更多
As one of the main chronic diseases in modern society,coronary heart disease,as a major disease that affects people’s lives and health,has the characteristics of hidden onset and sudden onset.Coronary heart disease h...As one of the main chronic diseases in modern society,coronary heart disease,as a major disease that affects people’s lives and health,has the characteristics of hidden onset and sudden onset.Coronary heart disease has relatively clear risk factors.Among them,blood lipid levels and blood sugar levels,as two main risk factors,play an important role in promoting the onset of coronary heart disease.The two complement each other in a vicious cycle,synergize and promote each other,promote the process of coronary atherosclerosis,thereby causing coronary heart disease.Multiple components in blood lipids and poor management of long-term blood sugar levels play a major role in specific clinical problems.This article reviews the different components of blood lipids and the effects of hyperglycemia on coronary heart disease,and initially expounds the mechanism by which blood lipids and blood sugar levels synergize each other to aggravate the risk of coronary heart disease,and combines them with relevant clinical issues,in order to help clinicians guide the prevention of coronary heart disease in terms of blood lipids and blood sugar levels.展开更多
Debris flow events are frequent in Tajikistan,yet comprehensive investigations at the regional scale are limited.This study integrates remote sensing,Geographic Information System,and machine learning techniques to ev...Debris flow events are frequent in Tajikistan,yet comprehensive investigations at the regional scale are limited.This study integrates remote sensing,Geographic Information System,and machine learning techniques to evaluate debris flow susceptibility and associated hazards across Tajikistan.A dataset comprising 405 documented debris flow points and 14 influencing factors,encompassing geological,climatic-hydrological,and anthropogenic variables,was established.Three machine learning algorithms—Random Forest,Support Vector Machine(SVM),and Multi-layer Perceptron—were applied to generate susceptibility maps and delineate debris flow risk zones.The results indicate that the areas of higher and high susceptibility accounted for 20.43%and 4.41%of the national area,respectively,and were predominantly concentrated along the Zeravshan and Vakhsh river basins.Among the evaluated models,SVM model demonstrated the highest predictive performance.Beyond conventional topographic and environmental controls,drought conditions were identified as a critical factor influencing debris flow occurrence within the arid and semi-arid mountainous regions of Tajikistan.These findings provide a scientific basis for regional debris flow risk management and disaster mitigation planning,and offer practical guidance for selecting conditioning factors in machine-learning-based susceptibility assessments in other dry mountainous environments.展开更多
Excessive levels of Fluoride(F−)and Cadmium(Cd)in drinking groundwater may pose health risks.This study assessed the health risks associated with F−and Cd contamination in rural drinking groundwater sources in Wutai C...Excessive levels of Fluoride(F−)and Cadmium(Cd)in drinking groundwater may pose health risks.This study assessed the health risks associated with F−and Cd contamination in rural drinking groundwater sources in Wutai County,Shanxi Province,China,to support population health protection,water resource management,and environmental decision-making.Groundwater samples were collected and analyzed,and a Human Health Risk Model(HHRA)was applied to evaluate groundwater quality.The results showed that both contents of F−and Cd in groundwater exceeded the Class III limits of China's national groundwater quality standard(GB/T 14848—2024).Fluoride levels met the Class V threshold,with enrichment area mainly located in the east part of the study area.Cadmium levels reached Class IV,with elevated concentrations primarily observed in the western and northwestern regions.Correlation analysis revealed that F−showed weak or no correlation with other measured substances,indicating independent sources.Health risk assessment results indicated that F−poses potential health risks to rural residents,while cadmium,due to its relatively low concentrations,does not currently present a significant health risk.Among different demographic groups,the health risk levels of F−exposure followed the order:Infants>children>adult females>adult males.The findings highlight that fluoride is the primary contributor to health risks associated with groundwater consumption in the study area.Strengthened monitoring and prevention of F−contamination are urgently needed.This research provides a scientific basis for the prevention and control of fluoride pollution in groundwater and offers practical guidance for safeguarding drinking water safety in rural China.展开更多
Objective:To investigate the related factors of motility after total hip arthroplasty(THA).Methods:The convenience sampling method was used to include 213 patients receiving THA in our hospital from June 2020 to June ...Objective:To investigate the related factors of motility after total hip arthroplasty(THA).Methods:The convenience sampling method was used to include 213 patients receiving THA in our hospital from June 2020 to June 2023.They were divided into 2 groups according to the occurrence of kinesiophobia after THA.The demographic data of the 2 groups were analyzed by single-factor analysis.The factors with statistically significant differences were analyzed by binary logistic regression as independent variables.Finally,Spearman analysis was used to analyze the relationship between risk factors and the degree of kinesiophobia.Results:Among 213 THA patients,38 patients were diagnosed with kinetophobia,and the incidence of kinetophobia was 17.84%.visual analogue scale(VAS)and pain duration before operation were higher in patients with kinetophobia than in patients without kinetophobia.The scores of education level,self-efficacy,and social support were significantly lower than those of the non-phobia group,with statistical significance(P<0.05).Logistic regression analysis showed that VAS was a risk factor for kinetophobia after THA.Education level and self-efficacy were protective factors to reduce the occurrence of kinetophobia after THA(P<0.05).Spearman correlation analysis showed that the degree of pain(r=0.697,P<0.001)was positively correlated with the degree of kinetophobia,while the degree of education(r=-0.647,P<0.001)and self-efficacy(r=-0.756,P<0.001)were negatively correlated with the degree of kinetophobia.Conclusions:The degree of pain is a risk factor of kinesiophobia after THA,and it is positively correlated with the degree.Educational level and self-efficacy were protective factors to reduce the incidence of kinesiophobia and were negatively correlated with the degree of kinesiophobia.展开更多
With the increasing depth and intensity of coal mining operations,high-energy mine tremors have become a major trigger for rockburst disasters,posing severe threats to mine safety.Conventional rockburst risk assessmen...With the increasing depth and intensity of coal mining operations,high-energy mine tremors have become a major trigger for rockburst disasters,posing severe threats to mine safety.Conventional rockburst risk assessment methods either lack real-time adaptability or rely heavily on qualitative microseismic data analysis,limiting their effectiveness in dynamic early warning.To address these limitations,this study proposed a predictive framework for rockburst risk assessment by integrating ensemble learning algorithms with Bayesian optimization.A dataset was constructed using a sliding time window approach,linking the highest MS energy in the subsequent days with predefined risk levels.Both undersampling and oversampling strategies were employed to mitigate class imbalance,and their performance was evaluated.Three ensemble models,i.e.CatBoost,Random Forest,and LightGBM,were developed,and their hyperparameters were optimized using Bayesian techniques to enhance predictive performance.The models were validated using MS data from the 6303 and 6306 working faces at the Dongtan Coal Mine.All three ensemble models outperformed conventional classification methods,particularly in accurately predicting high-risk categories.Among them,the CatBoost model exhibited the best performance,with an accuracy of 89.47%and an F1¯-score of 90.62%.Furthermore,SHapley Additive exPlanations analysis was used to enhance model interpretability,identifying key MS indicators influencing rockburst risk predictions.This study provides a systematic approach for leveraging MS data and machine learning to improve an early warning system for rockburst hazards,offering valuable insights for underground mining safety management.展开更多
Hydrological extremes,such as floods,droughts,and compound events,are extremely dangerous to human societies,ecosystems,and infrastructures,whose frequency and severity are affected by climate change more and more.Eff...Hydrological extremes,such as floods,droughts,and compound events,are extremely dangerous to human societies,ecosystems,and infrastructures,whose frequency and severity are affected by climate change more and more.Effective disaster preparedness,water resource management,and climate adaptation have to do with accurate prediction and extensive risk assessment.This review sums up recent progress in predictive modeling and risk assessment systems in the framework of hydrological extremes in the changing climatic conditions.Statistical and empirical techniques,including extreme value theory and nonstationary frequency analysis,give probabilistic information using historic records,whereas process-based models give an understanding of physical hydrological processes at different climate and land-use conditions.New information-based and hybrid methods that use machine learning and high-resolution data take advantage of the complexity and nonlinearities and enhance the predictive power.Hazard,exposure,vulnerability,and adaptive capacity risk assessment models allow predictive output to be translated into actionable decision support,with socio-economic aspects and analysis of the scenario.Case studies of various regions across the globe show the use of these techniques to address floods,droughts,and compound events,with success and current problems.The review also addresses current trends such as compound hazard,multi-hazard integration,AI-enabled modelling,and cross-sectoral decision support,and outlines research priorities of improving predictive capability and resilience.This review will inform researchers,policymakers,and practitioners by offering a synthesis of all the effects of the hydrological extremes in climate change to formulate sound strategies for alleviating these effects.展开更多
基金Centre of Research,Education,Innovation,and Intervention in Sport(CIFI2D)is financed by the Portuguese Foundation for Science and Technology,under the DOI https://doi.org/10.54499/UIDB/05913/2020。
文摘1.Introduction Injury prevention is an essential element of science and medicine in sports,and it garners attention from stakeholders focused on minimizing athletes’injury risk.Catchy titles including“injury risk”or“injury prevention”are likely to grab the readers’attention.Meanwhile,studies on injury prevention might assess the impact of interventions on mitigating injury risk factors(e.g.,strength,range of motion(ROM))but fail to report injury data(e.g.,incidence).1,2 Likewise,observational studies may include“injury risk”in their titles,but fail to provide injury data.3 Without injury data.
基金supported by the 2025 Fujian Provincial Social Science Foundation Project(FJ2025C074).
文摘This systematic review synthesizes empirical research on external risk factors for adolescent smartphone addiction.Scopus and Web of Science were searched for English peer-reviewed empirical articles from 2008 onward;28 met inclusion criteria(excluding non-adolescents,generic internet addiction,non-empirical work,or non-English).Thematic synthesis organized findings into three external risk domains—family,school,and peers—considering cultural/contextual mechanisms.Family dynamics(parental phubbing,harsh parenting,dysfunction),school stressors,and adverse peer relationships were identified as accumulating,direct and indirect contributors to smartphone addiction.These operate within a techno-ecological framework,where digital technologies amplify vulnerabilities and create new pathways for maladaptive use.Evidence favors an ecological,multi-level perspective.Future research should use longitudinal designs,standardize measures across cultures,and examine understudied regions—especially Africa—to guide culturally sensitive interventions.
基金funded by China Law Society 2025 Annual Legal Research,Project grant number:CLS(2025)Y04.
文摘Background:Medical artificial intelligence(MAI)is a synthesis of medical science and artificial intelligence development,serving as a crucial field in the current advancement and application of AI.In the process of developing medical AI,there may arise not only legal risks such as infringement of privacy rights and health rights but also ethical risks stemming from violations of the principles of beneficence and non-maleficence.Methods:To effectively address the damages caused by MAI in the future,it is necessary to establish a hierarchical governance system with MAI.This paper examines the systematic collection of local practices in China and the induction and integration of legal remedies for the damage of MAI.Results:To effectively address the ethical and legal challenges of medical artificial intelligence,a hierarchical regulatory system should be established,which based on the impact of intervention measures on natural rights and differences in intervention timing.This paper finally obtains a legal hierarchical governance system corresponding to the ethical risks and legal risks of MAI in China.Conclusion:The Chinese government has formed a multi-agent governance system based on the impact of risks on rights and the timing of legal intervention,which provides a reference for other countries to follow up on the research on MAI risk management.
基金supported by the Key R&D Program of Hubei Province(2023BAB002)the Science and technology project of State Grid Hubei Electric Power Co.,Ltd.(52153223000A)。
文摘Under the“dual carbon”goals,it is imperative to incorporate carbon emissions-related factors into research of power grid risk assessment to meet the green transformation needs of the power grid.Therefore,this paper conducts a study on the risk assessment of carbon emissions changes in regional power grids based on dynamic carbon emission factors,aiming to quantitatively analyze the impact of random disturbances such as equipment failures or fluctuations in renewable energy generation on the carbon emission intensity of regional power grids.First,carbon emission change risk indicators are constructed from three dimensions:the probability,frequency,and magnitude of carbon emission changes.Second,a dynamic carbon emission factor calculation model is proposed to reflect the spatiotemporal change of carbon emissions in the regional power grid,considering output of different types of generators and the components of inter-area power transmission.Finally,with the premise of ensuring safe and stable operation of power grid,a quantitative assessment model for carbon emission change risks is proposed under the objective of minimizing the electricity loss.The sampling convergence conditions of the model are also derived.The results from the MRTS79 case study demonstrate the proposed method can effectively quantify and analyze the risk of carbon emissions changes in regional power grids,validating the effectiveness of the proposed model.
基金supported by Hebei Natural Science Foundation(No.JZX2023018)Hebei Natural Science Foundation(No.C2022201042)the 100 Foreign Experts Plans of Hebei Province(No.606080123001).
文摘Antibiotics are widespread in aquatic environments due to their extensive use in human healthcare and ani-mal husbandry.However,research on the occurrence and bioaccumulation of antibiotics in aquatic organisms within shallow wetland lakes remains limited.This study investigated the occurrence and bioaccumulation of ten commonly used antibiotics in the Baiyang Lake,northern China’s largest shallow wetland lake.The results indicated that sulfonamides and fluoroquinolones were the predominant antibiotics in surface water,whereas fluoroquinolones and macrolides were more prevalent in sediment.Fluoroquinolones demonstrated significant potential for bioaccumulation in targeted aquatic organisms,including both animals and plants(Carassius au-ratus and Phragmites australis).The bioaccumulation of antibiotics in Carassius auratus was correlated with their solubility,whereas in Phragmites australis,this was associated with their octanol-water partition coefficients and molecular weights.Ecological risk assessment indicated that most antibiotics posed minimal to low risk levels.However,four antibiotics were exceptions:clarithromycin(12.5%)and sulfamethoxazole(6.25%)presented a high risk in surface water samples,while norfloxacin(25.0%)and ciprofloxacin(25.0%)posed a high risk in sediment samples.Norfloxacin,ciprofloxacin,and roxithromycin were identified as key indicator antibiotics for enhancing the local monitoring and control of antibiotic contamination based on four criteria:(1)high con-centrations,(2)frequent detection,(3)capacity for bioaccumulation,and(4)ecological risk levels.This study contributes to a deeper understanding of the status of antibiotic contamination,bioaccumulation characteristics,and ecological risk in Baiyang Lake,thereby supporting efforts to monitor and regulate antibiotic pollution.
文摘Flood risk in South Africa remains a problem due to climate change,rapid urbanisation and persistent disparities in the region and low-income urban households are disproportionately impacted because of poor access to affordable flood insurance.This paper constructs the Integrated Market Flood Risk Insurance Framework(IMFRIF)based on a qualitative,desk-based research design consisting of contextual policy analysis,systematic literature review and analytical synthesis through systems thinking.The policy and document analysis reviewed the legislation on national disaster management,insurance and industry reports to determine institutional and market limitations on the provision of flood insurance.A PRISMA-ScR systematic literature review filtered 312 records on Scopus,Web of Science,and Google Scholar,which led to the identification of 47 peer-reviewed articles and 15 policy and comparative case studies.Thematic analysis led to the identification of six prevail-ing clusters of barriers based on the influence on insurance uptake,which included affordability and product design,trust and risk perception,data and risk assessment gaps,regulatory capacity,multi-stakeholder coordi-nation,and community engagement.The results of these studies were used to design the IMFRIF,a system incorporating 9 major stakeholder groups and 5 interdependent system components into a single market-based design.The framework provides a systematic foundation to the resolution of systemic exclusion of flood insur-ance,but specifically acknowledges the implementation limitations regarding data availability,regulation ca-pacity,fiscal sustainability and communal level of trust.The IMFRIF is placed as a progressive and responsive system that offers a point of future empirical confirmation and policy implementation to promote inclusive disaster risk financing in South Africa and comparable low-and middle-income contexts.
基金funded by Medical and Health Science and Technology Project of Zhejiang province(Grant number:2023KY633).
文摘Objective:To evaluate the cost-effectiveness of annual trivalent inactivated influenza vaccine(IIV3)under the context of Zhejiang province.Methods:A state transition simulation model was constructed to estimate the health and economic outcomes of IIV3 vaccination program compared to no vaccination for hypothetical cohorts of Zhejiang province stratified by age and risk status.Model input parameters were chosen based on published literatures and expert advices.The analysis used societal perspectives and a one-year time horizon,and permanent outcomes were also included.The primary outcome was the incremental cost-effectiveness ratio(ICER),with expression of US dollars per quality adjusted life years(QALYs)gained.Results:In subgroups not at high risk for influenza-related complications(non-high risk subgroup),ICER ranged from $6268/QALY(for adults aged 50-64 years)to $11260/QALY(for children aged from 6 months to 4 years).In subgroups at high risk for influenza-related complications(high risk subgroup),ICER ranged from cost-saving(adults aged≥65 years)to $5260/QALY(for children aged from 6 months to 4 years).ICER were most sensitive to changes in probability of influenza illness,cost of hospitalization,and probability of death for adults aged 18-49 years with non-high risk status.Conclusions:ICERs of annual influenza vaccination varied by age and risk status but were less than the Gross Domestic Product(GDP)per capita of Zhejiang province($17745 in 2023),which remained cost-effective for all-age and different risk status groups from a societal perspective.
基金supported by the Fund for Health Promotion from Osaka Prefecture。
文摘Objective:We assessed the risk for physical inactivity due to inadequate health literacy using multivariable analysis in a large middleaged population.Methods:This cross-sectional mail survey using a self-administered questionnaire was conducted in 2020 and included 33,902 community residents aged 40-64 years from 5 cities in Osaka Prefecture,Japan.Of these,12,446(36.7%)agreed to participate in the survey.After exclusion of those with regular visits to medical institutions and those with missing data,the analysis included 3742 participants.Health literacy was measured by the communicative and critical health literacy(CCHL)scale,and participants were classified into 3 groups(low,medium,and high health literacy groups)by the tertiles of the CCHL scale score.Physical inactivity was defined as not completing at least 150 min of moderate-intensity physical activity throughout the week.Results:After adjustment for age,gender,education level,occupation,economic status,living alone,and stages of health behavior change,the multivariable-adjusted odds ratios(ORs)for physical inactivity were 1.36(95% confidence interval[CI]:1.16-1.59,P<0.001)in the medium health literacy group and 1.70(95%CI:1.36-2.11,P<0.001)in the low health literacy group compared with the high health literacy group.Conclusions:This large-scale study provides compelling evidence that those with inadequate health literacy are at higher risk for physical inactivity among middle-aged adults.
文摘The pathophysiology of many ailments,including neurological,gastrointestinal,and metabolic disorders,is well known to be influenced by intestinal dysbiosis.Clinical research has provided evidence suggesting a strong correlation between dysbiosis of the gut microbiome and colorectal cancer(CRC)development.The active reprogramming of metabolic pathways to boost glycolysis,fatty acid production,lipogenesis,and glutaminolysis constitutes a major metabolic shift in cancer development,including CRC.The complex combination of different factors leads to CRC,making it an environmental disease.These factors include food and lifestyle choices,genetics and family history,age,underlying intestinal diseases,and dysbiosis of the gut microbiota.One of the primary risk factors for carcinoma development is diet,which impacts an individual’s gut microbiome.In addition to impacting CRC formation,the gut microbiome also has immunomodulatory effects,including various immunological interactions and the underlying mechanisms governing them.Microbial interactions in CRC have been extensively studied,yet numerous unresolved queries exist on how gut bacteria can influence treatment.Microbiome-driven immunotherapies,focusing on probiotics,prebiotics,and synbiotics,represent a promising therapeutic avenue.However,large-scale treatment utilization in CRC patients is limited by several issues,including variations in the microbial makeup of each patient’s gut and a lack of established methods.The study highlights the impact of several risk factors,including dysbiosis of the gut microbiome and different approaches to halting and treating CRC progression with a focus on diet changes and modulation of the gut flora.Given the foregoing,we propose that if research gaps are addressed and immunotherapy is paired with microbial interventions,microbiota-based therapeutics could potentially impede the growth of tumors and treat CRC.
文摘Rowlands et al.1present an analysis of accelerometer data from the UK Biobank cohort,examining variations in the duration,intensity,and accumulation of moderate-intensity physical activity(MPA)and vigorous-intensity physical activity(VPA)sufficient to reduce the risk of all-cause mortality.In this study,the authors questioned if shorter durations(i.e.,1,2,3,4,5,10,15,and 20 min/day)of MPA and VPA performed continuously or accumulated throughout the day would equally reduce the risks of all-cause mortality as longer duration MPA and VPA recommended in the physical activity(PA)guidelines.
文摘Purpose-This study explores how managerial leadership and organizational innovation interact to enhance resilience and risk management in railway supply chains and how these capabilities contribute to sustained competitive advantage.It emphasizes the strategic importance of resilience in railway systems that face operational complexity,regulatory pressures and increasing exposure to systemic risks.Design/methodology/approach-A mixed-methods design was employed,integrating survey data from 186 railway organizations with six case studies involving railway operators,rolling stock manufacturers and supply chain partners across multiple regions.Constructs were measured using validated scales and hypothesized relationships were tested using Structural Equation Modeling(SEM).Case study interviews were analyzed thematically to provide contextual understanding of leadership practices and innovation strategies.Findings-The results confirm that transformational managerial leadership significantly predicts innovation adoption,which in turn strengthens resilience and risk management capabilities.Resilience emerged as a powerful driver of competitive advantage,reinforcing its role as a strategic capability rather than a reactive response to disruptions.Furthermore,innovation was shown to partially mediate the relationship between leadership and resilience,highlighting its function as the operational channel through which vision translates into capability.Originality/value-This study contributes to the literature by integrating the Resource-Based View(RBV)and Dynamic Capabilities(DC)framework into the context of railway supply chains.It is among the first to empirically validate the mediating role of innovation between leadership and resilience,offering both theoretical advancements and actionable strategies for building resilient and competitive railway systems.
基金supported by the Science and Technology Planning Social Development Project of Zhenjiang City,China(No.SH2017045)the Postgraduate Research&Practice Innovation Program of Jiangsu Province,China(No.SJCX23_2065)。
文摘Dear Editor,With the growing food demands and the rapid development of intensive vegetable cultivation,the vegetable yield and planting area have increased to 230 million tons and 2.13 million hectares,respectively,in China in 2021(MARAPRC,2023).
基金supported by ScientificResearch Fund of National Health Commission of the People’s Republic of China-Major Science and Technology Program for Medicine and Health in Zhejiang Province(WKJ-ZJ-2406).
文摘Objectives This study aimed to explore the lagged and cumulative effects of risk factors on disability in older adults using distributed lag non-linear models(DLNMs).Methods We utilized data from the China Health and Retirement Longitudinal Study(CHARLS).After feature selection via Elastic Net Regularization,we applied DLNMs to evaluate the lagged effects of risk factors.Disability was defined as the presence of any difficulties in basic activities of daily living(BADL).The cumulative relative risk(CRR)was calculated by summing the lag-specific risk estimates,representing the cumulative disability risk over the specified lag period.Effect modifications and sensitivity analyses were also performed.Results This study included a total of 2,318 participants.Early-phase lag factors,such as the difficulty in stooping(CRR=3.58;95%CI:2.31-5.55;P<0.001)and walking(CRR=2.77;95%CI:1.39-5.55;P<0.001),exerted the strongest effects immediately upon occurrence.Mid-phase lag factors,such as arthritis(CRR=1.51;95%CI:1.10-2.06;P=0.001),showed a resurgence in disability risk within 2-3 years.Late-phase lag factors,including depressive symptoms(CRR=2.38;95%CI:1.30-4.35;P<0.001)and elevated systolic blood pressure(CRR=1.64;95%CI:1.06-2.79;P=0.02),exhibited significant long-term cumulative risks.Conversely,grip strength(CRR=0.80;95%CI:0.54-0.95;P=0.02)and social participation(CRR=0.89;95%CI:0.73-0.99;P=0.04)were significant protective factors.Conclusions The findings underscore the importance of tailored interventions that account for various lag characteristics of different factors to effectively mitigate disability risk.Future studies should explore the underlying biological and sociological mechanisms of these lagged effects,identify intervention strategies that target risk factors with different lagged patterns,and evaluate their effectiveness.
文摘As one of the main chronic diseases in modern society,coronary heart disease,as a major disease that affects people’s lives and health,has the characteristics of hidden onset and sudden onset.Coronary heart disease has relatively clear risk factors.Among them,blood lipid levels and blood sugar levels,as two main risk factors,play an important role in promoting the onset of coronary heart disease.The two complement each other in a vicious cycle,synergize and promote each other,promote the process of coronary atherosclerosis,thereby causing coronary heart disease.Multiple components in blood lipids and poor management of long-term blood sugar levels play a major role in specific clinical problems.This article reviews the different components of blood lipids and the effects of hyperglycemia on coronary heart disease,and initially expounds the mechanism by which blood lipids and blood sugar levels synergize each other to aggravate the risk of coronary heart disease,and combines them with relevant clinical issues,in order to help clinicians guide the prevention of coronary heart disease in terms of blood lipids and blood sugar levels.
基金supported by the National Natural Science Foundation of China(42361144880)the Science and Technology Program of Xizang Autonomous Region,China(XZ202402ZD0001)the Qinghai Province Basic Research Program Project,China(2024-ZJ-904).
文摘Debris flow events are frequent in Tajikistan,yet comprehensive investigations at the regional scale are limited.This study integrates remote sensing,Geographic Information System,and machine learning techniques to evaluate debris flow susceptibility and associated hazards across Tajikistan.A dataset comprising 405 documented debris flow points and 14 influencing factors,encompassing geological,climatic-hydrological,and anthropogenic variables,was established.Three machine learning algorithms—Random Forest,Support Vector Machine(SVM),and Multi-layer Perceptron—were applied to generate susceptibility maps and delineate debris flow risk zones.The results indicate that the areas of higher and high susceptibility accounted for 20.43%and 4.41%of the national area,respectively,and were predominantly concentrated along the Zeravshan and Vakhsh river basins.Among the evaluated models,SVM model demonstrated the highest predictive performance.Beyond conventional topographic and environmental controls,drought conditions were identified as a critical factor influencing debris flow occurrence within the arid and semi-arid mountainous regions of Tajikistan.These findings provide a scientific basis for regional debris flow risk management and disaster mitigation planning,and offer practical guidance for selecting conditioning factors in machine-learning-based susceptibility assessments in other dry mountainous environments.
基金supported by the Northeast Geological Science and Technology Innovation Center of China Geological Survey(Grant NO.QCJJ2022-43)the Natural Resources Comprehensive Survey Project(Grant Nos.DD20230470,DD20230508)the National Groundwater Monitoring Network Operation and Maintenance Program(Grant No.DD20251300109).
文摘Excessive levels of Fluoride(F−)and Cadmium(Cd)in drinking groundwater may pose health risks.This study assessed the health risks associated with F−and Cd contamination in rural drinking groundwater sources in Wutai County,Shanxi Province,China,to support population health protection,water resource management,and environmental decision-making.Groundwater samples were collected and analyzed,and a Human Health Risk Model(HHRA)was applied to evaluate groundwater quality.The results showed that both contents of F−and Cd in groundwater exceeded the Class III limits of China's national groundwater quality standard(GB/T 14848—2024).Fluoride levels met the Class V threshold,with enrichment area mainly located in the east part of the study area.Cadmium levels reached Class IV,with elevated concentrations primarily observed in the western and northwestern regions.Correlation analysis revealed that F−showed weak or no correlation with other measured substances,indicating independent sources.Health risk assessment results indicated that F−poses potential health risks to rural residents,while cadmium,due to its relatively low concentrations,does not currently present a significant health risk.Among different demographic groups,the health risk levels of F−exposure followed the order:Infants>children>adult females>adult males.The findings highlight that fluoride is the primary contributor to health risks associated with groundwater consumption in the study area.Strengthened monitoring and prevention of F−contamination are urgently needed.This research provides a scientific basis for the prevention and control of fluoride pollution in groundwater and offers practical guidance for safeguarding drinking water safety in rural China.
基金supported by the Henan Provincial Medical Science and Technology Research Program,grant funded by the Henan Provincial Health Commission(No.LHGJ 20200888)。
文摘Objective:To investigate the related factors of motility after total hip arthroplasty(THA).Methods:The convenience sampling method was used to include 213 patients receiving THA in our hospital from June 2020 to June 2023.They were divided into 2 groups according to the occurrence of kinesiophobia after THA.The demographic data of the 2 groups were analyzed by single-factor analysis.The factors with statistically significant differences were analyzed by binary logistic regression as independent variables.Finally,Spearman analysis was used to analyze the relationship between risk factors and the degree of kinesiophobia.Results:Among 213 THA patients,38 patients were diagnosed with kinetophobia,and the incidence of kinetophobia was 17.84%.visual analogue scale(VAS)and pain duration before operation were higher in patients with kinetophobia than in patients without kinetophobia.The scores of education level,self-efficacy,and social support were significantly lower than those of the non-phobia group,with statistical significance(P<0.05).Logistic regression analysis showed that VAS was a risk factor for kinetophobia after THA.Education level and self-efficacy were protective factors to reduce the occurrence of kinetophobia after THA(P<0.05).Spearman correlation analysis showed that the degree of pain(r=0.697,P<0.001)was positively correlated with the degree of kinetophobia,while the degree of education(r=-0.647,P<0.001)and self-efficacy(r=-0.756,P<0.001)were negatively correlated with the degree of kinetophobia.Conclusions:The degree of pain is a risk factor of kinesiophobia after THA,and it is positively correlated with the degree.Educational level and self-efficacy were protective factors to reduce the incidence of kinesiophobia and were negatively correlated with the degree of kinesiophobia.
基金funded by the National Natural Science Foundation of China(Grant No.42477208)Natural Science Foundation of Hubei Province,China(Grant No.2024AFA072)Open Research Fund of State Key Laboratory of Geomechanics and Geotechnical Engineering Safety(Grant No.SKLGME-JBGS2402).
文摘With the increasing depth and intensity of coal mining operations,high-energy mine tremors have become a major trigger for rockburst disasters,posing severe threats to mine safety.Conventional rockburst risk assessment methods either lack real-time adaptability or rely heavily on qualitative microseismic data analysis,limiting their effectiveness in dynamic early warning.To address these limitations,this study proposed a predictive framework for rockburst risk assessment by integrating ensemble learning algorithms with Bayesian optimization.A dataset was constructed using a sliding time window approach,linking the highest MS energy in the subsequent days with predefined risk levels.Both undersampling and oversampling strategies were employed to mitigate class imbalance,and their performance was evaluated.Three ensemble models,i.e.CatBoost,Random Forest,and LightGBM,were developed,and their hyperparameters were optimized using Bayesian techniques to enhance predictive performance.The models were validated using MS data from the 6303 and 6306 working faces at the Dongtan Coal Mine.All three ensemble models outperformed conventional classification methods,particularly in accurately predicting high-risk categories.Among them,the CatBoost model exhibited the best performance,with an accuracy of 89.47%and an F1¯-score of 90.62%.Furthermore,SHapley Additive exPlanations analysis was used to enhance model interpretability,identifying key MS indicators influencing rockburst risk predictions.This study provides a systematic approach for leveraging MS data and machine learning to improve an early warning system for rockburst hazards,offering valuable insights for underground mining safety management.
文摘Hydrological extremes,such as floods,droughts,and compound events,are extremely dangerous to human societies,ecosystems,and infrastructures,whose frequency and severity are affected by climate change more and more.Effective disaster preparedness,water resource management,and climate adaptation have to do with accurate prediction and extensive risk assessment.This review sums up recent progress in predictive modeling and risk assessment systems in the framework of hydrological extremes in the changing climatic conditions.Statistical and empirical techniques,including extreme value theory and nonstationary frequency analysis,give probabilistic information using historic records,whereas process-based models give an understanding of physical hydrological processes at different climate and land-use conditions.New information-based and hybrid methods that use machine learning and high-resolution data take advantage of the complexity and nonlinearities and enhance the predictive power.Hazard,exposure,vulnerability,and adaptive capacity risk assessment models allow predictive output to be translated into actionable decision support,with socio-economic aspects and analysis of the scenario.Case studies of various regions across the globe show the use of these techniques to address floods,droughts,and compound events,with success and current problems.The review also addresses current trends such as compound hazard,multi-hazard integration,AI-enabled modelling,and cross-sectoral decision support,and outlines research priorities of improving predictive capability and resilience.This review will inform researchers,policymakers,and practitioners by offering a synthesis of all the effects of the hydrological extremes in climate change to formulate sound strategies for alleviating these effects.
