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
Objective To explore the risk management of the changes of sponsors and/or production sites during drug clinical trials based on the theories of quality management,risk management,and change management.Methods The met...Objective To explore the risk management of the changes of sponsors and/or production sites during drug clinical trials based on the theories of quality management,risk management,and change management.Methods The method of failure modes and effect analysis(FMEA)was used to identify risks through literature research,expert consultation,comparative research,and comprehensive analysis.Besides,risk priority number(RPN)was used to evaluate the risks.Results and Conclusion A FMEA of the changes of sponsors and/or production sites in clinical trials was constructed and RPN values of every failure mode and causes were obtained.Based on the RPN values,the core risk control points for different combination modes of sponsors and/or production sites after their changes were identified.It is recommended that China should strengthen the construction of the sponsor responsibility system.In addition,the changes of sponsors and/or production sites during the clinical trial period should be allowed in an orderly manner under the premise of ensuring the quality of clinical trials and subject protection.展开更多
One of the crucial elements that is directly tied to the quality of living organisms is the quality of the water.How-ever,water quality has been adversely affected by plastic pollution,a global environmental disaster ...One of the crucial elements that is directly tied to the quality of living organisms is the quality of the water.How-ever,water quality has been adversely affected by plastic pollution,a global environmental disaster that has an effect on aquatic life,wildlife,and human health.To prevent these effects,better monitoring,detection,characterisation,quanti-fication,and tracking of aquatic plastic pollution at regional and global scales is urgently needed.Remote sensing tech-nology is regarded as a useful technique,as it offers a promising new and less labour-intensive tool for the detection,quantification,and characterisation of aquatic plastic pollution.The study seeks to supplement to the body of scientific literature by compiling original data on the monitoring of plastic pollution in aquatic environments using remote sensing technology,which can function as a cost saving method for water pollution and risk management in developing nations.This article provides a profound analysis of plastic pollution,including its categories,sources,distribution,chemical properties,and potential risks.It also provides an in-depth review of remote sensing technologies,satellite-derived in-dices,and research trends related to their applicability.Additionally,the study clarifies the difficulties in using remote sensing technologies for aquatic plastic monitoring and practical ways to reduce aquatic plastic pollution.The study will improve the understanding of aquatic plastic pollution,health hazards,and the suitability of remote sensing technology for aquatic plastic contamination monitoring studies among researchers and interested parties.展开更多
Most wildfires are caused by human activities.Road networks play a dual role in wildfire dynamics,functioning either as potential ignition sources or as essential channels for suppression.This study focuses on roads a...Most wildfires are caused by human activities.Road networks play a dual role in wildfire dynamics,functioning either as potential ignition sources or as essential channels for suppression.This study focuses on roads as the link between human activity and the wildfire life cycle,identifying functional road elements and exploring design strategies for wildfire management.A literature review identified the relationship between roads and wildfires,and these insights were aligned with design elements through feature extraction from common geographical and infrastructural characteristics of affected areas.A qualitative and quantitative database was constructed for 225 wildfires in Korea from 2013 to 2022,each covering 2.5 ha or more.Cross-tabulation analysis demonstrated that wider roads have a mitigating effect on wildfire occurrence.Feature importance was further examined through Random Forest and Extra Trees regression,which identified significant variables associated with wildfire ignition.Based on the findings,several policy strategies were proposed.The results suggest that integrating road design elements into planning and upgrades can strengthen both wildfire prevention and suppression capacities.Moreover,the study highlights the need for greater policy attention to road infrastructure,given its substantial influence across the wildfire life cycle.展开更多
With the growth of the construction industry,risk management in construction projects has garnered significant attention from the academic community.Effective risk management during the decision-making stage can great...With the growth of the construction industry,risk management in construction projects has garnered significant attention from the academic community.Effective risk management during the decision-making stage can greatly enhance project management efficiency.This paper integrates the AHP-entropy value method and constructs a risk management model based on the DPSIR framework for construction projects.The model is applied to evaluate and analyze the risk level of the decision-making stage in a navigation and electricity hub project in Chongqing Municipality.The results demonstrate the scientific validity and effectiveness of the proposed model.展开更多
Objective:To evaluate the practical application effect of nursing risk management in preventing falls among inpatients,and to provide a reference for optimizing clinical safety management strategies for inpatients.Met...Objective:To evaluate the practical application effect of nursing risk management in preventing falls among inpatients,and to provide a reference for optimizing clinical safety management strategies for inpatients.Methods:A total of 428 inpatients in our hospital from January 2021 to December 2023 were selected as the research objects.They were divided into a control group(218 cases)and a study group(210 cases)according to the nursing management method.The control group received routine fall prevention nursing,while the study group implemented systematic nursing risk management.The fall rate and post-fall injury rate during hospitalization were compared between the two groups.Results:The fall rate of the study group was significantly lower than that of the control group,and the difference was statistically significant(p<0.05).Conclusion:Nursing risk management can effectively reduce the fall rate and post-fall injury rate of inpatients through systematic risk identification,targeted intervention and continuous quality improvement.It also improves patients’awareness of fall prevention and nursing satisfaction,and promotes the improvement of nurses’risk management ability,which has important clinical promotion value.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
Objective:To observe the application effect of risk management in the nursing work of fever clinics,especially its effect on improving nursing satisfaction and the work quality of nursing staff,as well as reducing the...Objective:To observe the application effect of risk management in the nursing work of fever clinics,especially its effect on improving nursing satisfaction and the work quality of nursing staff,as well as reducing the incidence of nursing risk events,and to provide a scientific reference for future clinical research and practice.Methods:This study adopted a retrospective approach,fixing the research period from December 2024 to August 2025.A total of 110 patients admitted to the fever clinic of our hospital were selected as the research objects and divided into two groups(the control group and the experimental group)using the random number table method.Each group had 55 patients.Then,differentiated nursing strategies were implemented for the two groups.Both the control group and the experimental group received routine nursing.The difference was that the experimental group was additionally given risk management measures on the basis of routine nursing.After 7 days of intervention,the nursing satisfaction rate,nursing quality,cognitive score of fever clinic risks,nursing error rate,complaint rate,and incidence of risk events were compared and analyzed between the two groups.Results:The nursing satisfaction score,nursing complaint rate,incidence of nursing risk events,nursing error rate,nursing quality score,and cognitive score of fever clinic risks in the experimental group were significantly better than those in the control group.The differences were statistically significant(P<0.05).Conclusion:Risk management has a significant application effect in the nursing work of fever clinics,playing a positive role for both patients and nursing staff.It is an effective measure to comprehensively improve nursing quality and an important means to greatly reduce the incidence of nursing risk events,thus having high clinical promotion value.展开更多
Objective: To explore the effectiveness of applying an infusion project team in the safety risk management of indwelling needle use. Methods: A total of 200 patients who used intravenous indwelling needles during hosp...Objective: To explore the effectiveness of applying an infusion project team in the safety risk management of indwelling needle use. Methods: A total of 200 patients who used intravenous indwelling needles during hospital treatment from July to October 2022 were selected and randomly divided into an observation group and a control group, with 100 patients in each group. Patients in the control group received routine nursing methods, while those in the observation group were managed using the safety risk management method of the infusion project team. The tube blocking rate and tube removal rate were compared between the two groups. Results: The one-time puncture success rate and the standard implementation rate of intravenous indwelling needle use in the observation group were significantly higher than those in the control group. The total incidence of complications in the observation group was significantly lower than that in the control group, and patient satisfaction in the observation group was notably higher, with statistically significant differences (P < 0.05). Conclusion: The application of an infusion project team in the safety risk management of indwelling needle use is effective and has positive impacts on improving the one-time puncture success rate, the standard implementation rate of intravenous indwelling needle use, and patient satisfaction. It is a practice worth promoting in clinical settings.展开更多
Against the backdrop of intensifying global water scarcity,reclaimed water reuse has emerged as a critical strategy for ecological replenishment of landscape water bodies.However,its potential ecological risks remain ...Against the backdrop of intensifying global water scarcity,reclaimed water reuse has emerged as a critical strategy for ecological replenishment of landscape water bodies.However,its potential ecological risks remain underexplored.This study aims to establish a multidimensional ecological safety evaluation framework for reclaimed water replenishment systems and propose hierarchical risk prevention strategies.By integrating ecotoxicological assays(algae growth inhibition,Daphnia behavioral anomalies,zebrafish embryo toxicity),multimedia exposure modeling,and Monte Carlo probabilistic simulations,the risk contributions and spatial heterogeneity of typical pollutants are quantitatively analyzed.Results revealed that sulfamethoxazole(RQ=2.3)and diclofenac(RQ=1.8)posed high ecological risks,with their effects nonlinearly correlated with hydraulic retention time(HRT<3 days)and nutrient loading(TN>1.2 mg/L).A three-tier risk prevention system was developed based on the“source-pathway-receptor”framework:ozone-activated carbon pretreatment achieved 85%removal efficiency for pharmaceutical contaminants,ecological floating beds enhanced nitrogen and phosphorus retention by 40%-60%,and hydraulic regulation(flow velocity>0.1 m/s)effectively suppressed pathogen proliferation.The innovation of this study lies in establishing a chemical-biological-hydrological coupled risk quantification model for reclaimed water reuse scenarios.The hierarchical prevention standards have been incorporated into local reclaimed water management regulations,providing a scientific foundation and technical paradigm for sustainable landscape water replenishment.展开更多
Flooding is a natural phenomenon influenced by various factors and occurs frequently across many regions in Indonesia,including Gedebage in Bandung City,West Java.Gedebage is one of the city’s lowest-lying areas,with...Flooding is a natural phenomenon influenced by various factors and occurs frequently across many regions in Indonesia,including Gedebage in Bandung City,West Java.Gedebage is one of the city’s lowest-lying areas,with an elevation of 666-669 meters above sea level,making it particularly prone to recurrent flooding.The main issue is the absence of an integrated disaster management system.This research aims to identify the drainage system’s asset life cycle(planning,implementation,and operation&maintenance)and assess flood risk in Gedebage.The risk assessment was conducted using questionnaires to evaluate the likelihood and potential impact of risks.In response to major risks,appropriate mitigation strategies were developed.Mitigation efforts included both structural and non-structural measures.The structural mitigation design involved selecting technological alternatives using the Analytical Hierarchy Process(AHP),a decision-making tool that helps compare multiple criteria and alternatives in a structured way.The results indicate that 27% of the assessed risks were unacceptable,42% undesirable,and 31% acceptable.Flood risk in Gedebage can be managed through structural actions,such as drainage revitalization using a closed system,and non-structural strategies,including human-centric,administrative,and cultural approaches.Based on AHP analysis,the most effective technology was a closed drainage system and porous paving blocks.展开更多
This article focuses on electric power engineering and expounds the development characteristics and applications of new electric power engineering technologies,including technologies such as smart grids and digital de...This article focuses on electric power engineering and expounds the development characteristics and applications of new electric power engineering technologies,including technologies such as smart grids and digital design platforms.It explores the identification and classification of risk elements in electric power engineering and analyzes the deficiencies of traditional risk assessment methods.It introduces the applications of new technologies such as intelligent sensor networks in risk management,proposes a dual-driven model of technology and management,and looks forward to the application prospects of artificial intelligence and blockchain technologies.展开更多
In the field of electric power engineering,due to technological innovation,the evolution of smart grid technology and the access to new energy have changed the system structure,and the characteristics of risks have al...In the field of electric power engineering,due to technological innovation,the evolution of smart grid technology and the access to new energy have changed the system structure,and the characteristics of risks have also evolved.Traditional risk assessment methods and organizational structures are facing challenges.Emerging technologies such as big data and digital twins are applied to risk management.The new paradigm requires the reconstruction of organizational structures and collaborative governance,and involves the construction of a standardized system and ethical norms.展开更多
Enterprise risk management holds significant importance in fostering sustainable growth of businesses and in serving as a critical element for regulatory bodies to uphold market order.Amidst the challenges posed by in...Enterprise risk management holds significant importance in fostering sustainable growth of businesses and in serving as a critical element for regulatory bodies to uphold market order.Amidst the challenges posed by intricate and unpredictable risk factors,knowledge graph technology is effectively driving risk management,leveraging its ability to associate and infer knowledge from diverse sources.This review aims to comprehensively summarize the construction techniques of enterprise risk knowledge graphs and their prominent applications across various business scenarios.Firstly,employing bibliometric methods,the aim is to uncover the developmental trends and current research hotspots within the domain of enterprise risk knowledge graphs.In the succeeding section,systematically delineate the technical methods for knowledge extraction and fusion in the standardized construction process of enterprise risk knowledge graphs.Objectively comparing and summarizing the strengths and weaknesses of each method,we provide recommendations for addressing the existing challenges in the construction process.Subsequently,categorizing the applied research of enterprise risk knowledge graphs based on research hotspots and risk category standards,and furnishing a detailed exposition on the applicability of technical routes and methods.Finally,the future research directions that still need to be explored in enterprise risk knowledge graphs were discussed,and relevant improvement suggestions were proposed.Practitioners and researchers can gain insights into the construction of technical theories and practical guidance of enterprise risk knowledge graphs based on this foundation.展开更多
This study investigates the factors that impact farmers'adoption of risk management strategies(RMS)in Pakistan during times of uncertainty.The study examines farmers'adoption of RMS using both multinomial prob...This study investigates the factors that impact farmers'adoption of risk management strategies(RMS)in Pakistan during times of uncertainty.The study examines farmers'adoption of RMS using both multinomial probit(MNP)and multivariate probit(MVP).Data were collected from 382 farmers sampled from four districts in KhyberPakhtunkhwa(KP)province of Pakistan via a multistage sampling technique.This study utilizes the MNP model,considering the assumption of Independence of Irrelevant Alternatives(IIA)and incorporating correlated error terms.The objective is to understand farmers'behavior in risky situations and determine if there is heterogeneity.Results are compared with the MVP model to assess robustness and gain deeper understanding of farmers'decisionmaking processes.The research findings reveal that our results are robust,and farmers behave homogeneously in various RMS scenarios.Farmers adopt RMS individually or in combination to mitigate the adverse effects of natural calamities on their livelihood.The risk-averse farmers,who perceive weather-related risks as a threat,access credits and information,and have farms close to a river are more likely to adopt RMS,irrespective of the format of the strategies available.Moreover,the predicted probabilities and correlation of the RMS and RM categories have strengthened our model estimation.These findings provide insights into the behavior of farmers in adopting RMS which are helpful for policymakers and stakeholders in developing strategies to mitigate the impacts of natural calamities on farmers.展开更多
To mitigate risks associated with the prescription examination,marking,dispensing,checking,and review of non-integral-dosage drugs in Pharmacy Intravenous Admixture Service(PIVAS),we formed a project team.Employing th...To mitigate risks associated with the prescription examination,marking,dispensing,checking,and review of non-integral-dosage drugs in Pharmacy Intravenous Admixture Service(PIVAS),we formed a project team.Employing the failure mode and effect analysis(FMEA)management method,we identified potential risks in four critical steps of the non-integral-dosage drug dispensing process within PIVAS drug management:prescription verification,mixed allocation,and verification.For each step,we assigned scores for severity,incidence,and detectability,subsequently calculating the Risk Priority Number(RPN)to prioritize identified risks.Targeted measures for improvement were developed for steps with the highest RPN values.A total of 31 risk factors were documented in the management of non-integral-dosage drugs,with the dispensing process being particularly vulnerable.Specific measures were devised for eight high RPN risks.Following a 3-month optimization and improvement period,RPN values and incidences of internal differences were significantly reduced.The implemented measures demonstrated effective risk control.Notably,we established a comprehensive conversion system for partial-dose drug dispensing,directly translating into a volume of suction fluid for dispensing personnel based on doctor orders.This eliminated the need for manual secondary calculations,thereby standardizing and automating the dispensing of non-integral-dosage drugs in PIVAS.Simultaneously,our project team conducted a dissolution test on 23 types of drugs with non-integral dosage,revealing that the solvent volume increased for 11 types after dissolution.The dosage conversion for partial dosage was recalibrated based on the volume of the final solution to ensure dosage accuracy.Through the application of failure mode and effect analysis,we systematically managed the risks associated with non-integral-dosage drugs in PIVAS.This approach addressed safety concerns in the dispensing process,reduced errors,and ensured the safe and precise administration of medication to patients.展开更多
Climate services (CS) are crucial for mitigating and managing the impacts and risks associated with climate-induced disasters. While evidence over the past decade underscores their effectiveness across various domains...Climate services (CS) are crucial for mitigating and managing the impacts and risks associated with climate-induced disasters. While evidence over the past decade underscores their effectiveness across various domains, particularly agriculture, to maximize their potential, it is crucial to identify emerging priority areas and existing research gaps for future research agendas. As a contribution to this effort, this paper employs the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) methodology to review the state-of-the-art in the field of climate services for disaster risk management. A comprehensive search across five literature databases combined with a snowball search method using ResearchRabbit was conducted and yielded 242 peer-reviewed articles, book sections, and reports over 2013-2023 after the screening process. The analysis revealed flood, drought, and food insecurity as major climate-related disasters addressed in the reviewed literature. Major climate services addressed included early warning systems, (sub)seasonal forecasts and impact-based warnings. Grounded in the policy processes’ theoretical perspective, the main focus identified and discussed three prevailing policy-oriented priority areas: 1) development of climate services, 2) use-adoption-uptake, and 3) evaluation of climate services. In response to the limitations of the prevalent supply-driven and top-down approach to climate services promotion, co-production emerges as a cross-cutting critical aspect of the identified priority areas. Despite the extensive research in the field, more attention is needed, particularly pronounced in the science-policy interface perspective, which in practice bridges scientific knowledge and policy decisions for effective policy processes. This perspective offers a valuable analytical lens as an entry point for further investigation. Hence, future research agendas would generate insightful evidence by scrutinizing this critical aspect given its importance to institutions and climate services capacity, to better understand intricate facets of the development and the integration of climate services into disaster risk management.展开更多
Risk management is relevant for every project that which seeks to avoid and suppress unanticipated costs, basically calling for pre-emptive action. The current work proposes a new approach for handling risks based on ...Risk management is relevant for every project that which seeks to avoid and suppress unanticipated costs, basically calling for pre-emptive action. The current work proposes a new approach for handling risks based on predictive analytics and machine learning (ML) that can work in real-time to help avoid risks and increase project adaptability. The main research aim of the study is to ascertain risk presence in projects by using historical data from previous projects, focusing on important aspects such as time, task time, resources and project results. t-SNE technique applies feature engineering in the reduction of the dimensionality while preserving important structural properties. This process is analysed using measures including recall, F1-score, accuracy and precision measurements. The results demonstrate that the Gradient Boosting Machine (GBM) achieves an impressive 85% accuracy, 82% precision, 85% recall, and 80% F1-score, surpassing previous models. Additionally, predictive analytics achieves a resource utilisation efficiency of 85%, compared to 70% for traditional allocation methods, and a project cost reduction of 10%, double the 5% achieved by traditional approaches. Furthermore, the study indicates that while GBM excels in overall accuracy, Logistic Regression (LR) offers more favourable precision-recall trade-offs, highlighting the importance of model selection in project risk management.展开更多
Enterprise risk management has become increasingly crucial in today’s complex and volatile business environment. This study explores the application of Multi-Criteria Decision Analysis (MCDA) in enterprise risk manag...Enterprise risk management has become increasingly crucial in today’s complex and volatile business environment. This study explores the application of Multi-Criteria Decision Analysis (MCDA) in enterprise risk management. MCDA provides a systematic approach to handling multidimensional risk assessment issues. The research begins by analyzing various types of risks faced by enterprises, including financial, operational, and strategic risks. It then examines the specific applications of major MCDA methods, such as the Analytic Hierarchy Process (AHP) and TOPSIS, in risk identification, assessment, and response. The study finds that MCDA can effectively integrate qualitative and quantitative risk information, enhancing the scientific nature of risk decision-making. However, MCDA also faces challenges in practice, such as the subjectivity in determining indicator weights. To address this issue, the research proposes improved methods combining fuzzy theory and group decision-making. Finally, case analyses illustrate the effectiveness of MCDA applications in risk management across different industries. This study provides theoretical guidance for enterprises to build more comprehensive and dynamic risk management systems.展开更多
Objective:To study the role of nursing risk management in the prevention of post-ERCP pancreatitis.Methods:80 patients who underwent ERCP in our hospital from December 2023 to April 2024 were selected and randomly div...Objective:To study the role of nursing risk management in the prevention of post-ERCP pancreatitis.Methods:80 patients who underwent ERCP in our hospital from December 2023 to April 2024 were selected and randomly divided into an observation group and a control group using the random number table method,with 40 cases in each group.The observation group was given nursing risk management interventions and patients in the control group were given routine nursing interventions,and the patients in the two groups were compared in the incidence rate of pancreatitis and the satisfaction of nursing care.Results:The incidence of postoperative pancreatitis in the observation group was significantly lower than in the control group(P<0.05).The patient satisfaction of the observation group was significantly higher than that of the control group(P<0.05).Conclusion:Nursing risk management after ERCP can reduce the incidence of postoperative pancreatitis and improve patient satisfaction.展开更多
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Objective To explore the risk management of the changes of sponsors and/or production sites during drug clinical trials based on the theories of quality management,risk management,and change management.Methods The method of failure modes and effect analysis(FMEA)was used to identify risks through literature research,expert consultation,comparative research,and comprehensive analysis.Besides,risk priority number(RPN)was used to evaluate the risks.Results and Conclusion A FMEA of the changes of sponsors and/or production sites in clinical trials was constructed and RPN values of every failure mode and causes were obtained.Based on the RPN values,the core risk control points for different combination modes of sponsors and/or production sites after their changes were identified.It is recommended that China should strengthen the construction of the sponsor responsibility system.In addition,the changes of sponsors and/or production sites during the clinical trial period should be allowed in an orderly manner under the premise of ensuring the quality of clinical trials and subject protection.
文摘One of the crucial elements that is directly tied to the quality of living organisms is the quality of the water.How-ever,water quality has been adversely affected by plastic pollution,a global environmental disaster that has an effect on aquatic life,wildlife,and human health.To prevent these effects,better monitoring,detection,characterisation,quanti-fication,and tracking of aquatic plastic pollution at regional and global scales is urgently needed.Remote sensing tech-nology is regarded as a useful technique,as it offers a promising new and less labour-intensive tool for the detection,quantification,and characterisation of aquatic plastic pollution.The study seeks to supplement to the body of scientific literature by compiling original data on the monitoring of plastic pollution in aquatic environments using remote sensing technology,which can function as a cost saving method for water pollution and risk management in developing nations.This article provides a profound analysis of plastic pollution,including its categories,sources,distribution,chemical properties,and potential risks.It also provides an in-depth review of remote sensing technologies,satellite-derived in-dices,and research trends related to their applicability.Additionally,the study clarifies the difficulties in using remote sensing technologies for aquatic plastic monitoring and practical ways to reduce aquatic plastic pollution.The study will improve the understanding of aquatic plastic pollution,health hazards,and the suitability of remote sensing technology for aquatic plastic contamination monitoring studies among researchers and interested parties.
文摘Most wildfires are caused by human activities.Road networks play a dual role in wildfire dynamics,functioning either as potential ignition sources or as essential channels for suppression.This study focuses on roads as the link between human activity and the wildfire life cycle,identifying functional road elements and exploring design strategies for wildfire management.A literature review identified the relationship between roads and wildfires,and these insights were aligned with design elements through feature extraction from common geographical and infrastructural characteristics of affected areas.A qualitative and quantitative database was constructed for 225 wildfires in Korea from 2013 to 2022,each covering 2.5 ha or more.Cross-tabulation analysis demonstrated that wider roads have a mitigating effect on wildfire occurrence.Feature importance was further examined through Random Forest and Extra Trees regression,which identified significant variables associated with wildfire ignition.Based on the findings,several policy strategies were proposed.The results suggest that integrating road design elements into planning and upgrades can strengthen both wildfire prevention and suppression capacities.Moreover,the study highlights the need for greater policy attention to road infrastructure,given its substantial influence across the wildfire life cycle.
文摘With the growth of the construction industry,risk management in construction projects has garnered significant attention from the academic community.Effective risk management during the decision-making stage can greatly enhance project management efficiency.This paper integrates the AHP-entropy value method and constructs a risk management model based on the DPSIR framework for construction projects.The model is applied to evaluate and analyze the risk level of the decision-making stage in a navigation and electricity hub project in Chongqing Municipality.The results demonstrate the scientific validity and effectiveness of the proposed model.
文摘Objective:To evaluate the practical application effect of nursing risk management in preventing falls among inpatients,and to provide a reference for optimizing clinical safety management strategies for inpatients.Methods:A total of 428 inpatients in our hospital from January 2021 to December 2023 were selected as the research objects.They were divided into a control group(218 cases)and a study group(210 cases)according to the nursing management method.The control group received routine fall prevention nursing,while the study group implemented systematic nursing risk management.The fall rate and post-fall injury rate during hospitalization were compared between the two groups.Results:The fall rate of the study group was significantly lower than that of the control group,and the difference was statistically significant(p<0.05).Conclusion:Nursing risk management can effectively reduce the fall rate and post-fall injury rate of inpatients through systematic risk identification,targeted intervention and continuous quality improvement.It also improves patients’awareness of fall prevention and nursing satisfaction,and promotes the improvement of nurses’risk management ability,which has important clinical promotion value.
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.
文摘Objective:To observe the application effect of risk management in the nursing work of fever clinics,especially its effect on improving nursing satisfaction and the work quality of nursing staff,as well as reducing the incidence of nursing risk events,and to provide a scientific reference for future clinical research and practice.Methods:This study adopted a retrospective approach,fixing the research period from December 2024 to August 2025.A total of 110 patients admitted to the fever clinic of our hospital were selected as the research objects and divided into two groups(the control group and the experimental group)using the random number table method.Each group had 55 patients.Then,differentiated nursing strategies were implemented for the two groups.Both the control group and the experimental group received routine nursing.The difference was that the experimental group was additionally given risk management measures on the basis of routine nursing.After 7 days of intervention,the nursing satisfaction rate,nursing quality,cognitive score of fever clinic risks,nursing error rate,complaint rate,and incidence of risk events were compared and analyzed between the two groups.Results:The nursing satisfaction score,nursing complaint rate,incidence of nursing risk events,nursing error rate,nursing quality score,and cognitive score of fever clinic risks in the experimental group were significantly better than those in the control group.The differences were statistically significant(P<0.05).Conclusion:Risk management has a significant application effect in the nursing work of fever clinics,playing a positive role for both patients and nursing staff.It is an effective measure to comprehensively improve nursing quality and an important means to greatly reduce the incidence of nursing risk events,thus having high clinical promotion value.
文摘Objective: To explore the effectiveness of applying an infusion project team in the safety risk management of indwelling needle use. Methods: A total of 200 patients who used intravenous indwelling needles during hospital treatment from July to October 2022 were selected and randomly divided into an observation group and a control group, with 100 patients in each group. Patients in the control group received routine nursing methods, while those in the observation group were managed using the safety risk management method of the infusion project team. The tube blocking rate and tube removal rate were compared between the two groups. Results: The one-time puncture success rate and the standard implementation rate of intravenous indwelling needle use in the observation group were significantly higher than those in the control group. The total incidence of complications in the observation group was significantly lower than that in the control group, and patient satisfaction in the observation group was notably higher, with statistically significant differences (P < 0.05). Conclusion: The application of an infusion project team in the safety risk management of indwelling needle use is effective and has positive impacts on improving the one-time puncture success rate, the standard implementation rate of intravenous indwelling needle use, and patient satisfaction. It is a practice worth promoting in clinical settings.
文摘Against the backdrop of intensifying global water scarcity,reclaimed water reuse has emerged as a critical strategy for ecological replenishment of landscape water bodies.However,its potential ecological risks remain underexplored.This study aims to establish a multidimensional ecological safety evaluation framework for reclaimed water replenishment systems and propose hierarchical risk prevention strategies.By integrating ecotoxicological assays(algae growth inhibition,Daphnia behavioral anomalies,zebrafish embryo toxicity),multimedia exposure modeling,and Monte Carlo probabilistic simulations,the risk contributions and spatial heterogeneity of typical pollutants are quantitatively analyzed.Results revealed that sulfamethoxazole(RQ=2.3)and diclofenac(RQ=1.8)posed high ecological risks,with their effects nonlinearly correlated with hydraulic retention time(HRT<3 days)and nutrient loading(TN>1.2 mg/L).A three-tier risk prevention system was developed based on the“source-pathway-receptor”framework:ozone-activated carbon pretreatment achieved 85%removal efficiency for pharmaceutical contaminants,ecological floating beds enhanced nitrogen and phosphorus retention by 40%-60%,and hydraulic regulation(flow velocity>0.1 m/s)effectively suppressed pathogen proliferation.The innovation of this study lies in establishing a chemical-biological-hydrological coupled risk quantification model for reclaimed water reuse scenarios.The hierarchical prevention standards have been incorporated into local reclaimed water management regulations,providing a scientific foundation and technical paradigm for sustainable landscape water replenishment.
基金supported by the Research,Community Service,and Innovation/Penelitian,Pengabdian kepada Masyarakat dan Inovasi(P2MI)scheme of the Faculty of Civil and Environmental Engineering,Bandung Institute of Technology/Institut Teknologi Bandung(ITB),grant number[Dean's Decree No.71B/IT1.C06/SK-TA/2023].
文摘Flooding is a natural phenomenon influenced by various factors and occurs frequently across many regions in Indonesia,including Gedebage in Bandung City,West Java.Gedebage is one of the city’s lowest-lying areas,with an elevation of 666-669 meters above sea level,making it particularly prone to recurrent flooding.The main issue is the absence of an integrated disaster management system.This research aims to identify the drainage system’s asset life cycle(planning,implementation,and operation&maintenance)and assess flood risk in Gedebage.The risk assessment was conducted using questionnaires to evaluate the likelihood and potential impact of risks.In response to major risks,appropriate mitigation strategies were developed.Mitigation efforts included both structural and non-structural measures.The structural mitigation design involved selecting technological alternatives using the Analytical Hierarchy Process(AHP),a decision-making tool that helps compare multiple criteria and alternatives in a structured way.The results indicate that 27% of the assessed risks were unacceptable,42% undesirable,and 31% acceptable.Flood risk in Gedebage can be managed through structural actions,such as drainage revitalization using a closed system,and non-structural strategies,including human-centric,administrative,and cultural approaches.Based on AHP analysis,the most effective technology was a closed drainage system and porous paving blocks.
文摘This article focuses on electric power engineering and expounds the development characteristics and applications of new electric power engineering technologies,including technologies such as smart grids and digital design platforms.It explores the identification and classification of risk elements in electric power engineering and analyzes the deficiencies of traditional risk assessment methods.It introduces the applications of new technologies such as intelligent sensor networks in risk management,proposes a dual-driven model of technology and management,and looks forward to the application prospects of artificial intelligence and blockchain technologies.
文摘In the field of electric power engineering,due to technological innovation,the evolution of smart grid technology and the access to new energy have changed the system structure,and the characteristics of risks have also evolved.Traditional risk assessment methods and organizational structures are facing challenges.Emerging technologies such as big data and digital twins are applied to risk management.The new paradigm requires the reconstruction of organizational structures and collaborative governance,and involves the construction of a standardized system and ethical norms.
基金supported by the Shandong Province Science and Technology Project(2023TSGC0509,2022TSGC2234)Qingdao Science and Technology Plan Project(23-1-5-yqpy-2-qy).
文摘Enterprise risk management holds significant importance in fostering sustainable growth of businesses and in serving as a critical element for regulatory bodies to uphold market order.Amidst the challenges posed by intricate and unpredictable risk factors,knowledge graph technology is effectively driving risk management,leveraging its ability to associate and infer knowledge from diverse sources.This review aims to comprehensively summarize the construction techniques of enterprise risk knowledge graphs and their prominent applications across various business scenarios.Firstly,employing bibliometric methods,the aim is to uncover the developmental trends and current research hotspots within the domain of enterprise risk knowledge graphs.In the succeeding section,systematically delineate the technical methods for knowledge extraction and fusion in the standardized construction process of enterprise risk knowledge graphs.Objectively comparing and summarizing the strengths and weaknesses of each method,we provide recommendations for addressing the existing challenges in the construction process.Subsequently,categorizing the applied research of enterprise risk knowledge graphs based on research hotspots and risk category standards,and furnishing a detailed exposition on the applicability of technical routes and methods.Finally,the future research directions that still need to be explored in enterprise risk knowledge graphs were discussed,and relevant improvement suggestions were proposed.Practitioners and researchers can gain insights into the construction of technical theories and practical guidance of enterprise risk knowledge graphs based on this foundation.
文摘This study investigates the factors that impact farmers'adoption of risk management strategies(RMS)in Pakistan during times of uncertainty.The study examines farmers'adoption of RMS using both multinomial probit(MNP)and multivariate probit(MVP).Data were collected from 382 farmers sampled from four districts in KhyberPakhtunkhwa(KP)province of Pakistan via a multistage sampling technique.This study utilizes the MNP model,considering the assumption of Independence of Irrelevant Alternatives(IIA)and incorporating correlated error terms.The objective is to understand farmers'behavior in risky situations and determine if there is heterogeneity.Results are compared with the MVP model to assess robustness and gain deeper understanding of farmers'decisionmaking processes.The research findings reveal that our results are robust,and farmers behave homogeneously in various RMS scenarios.Farmers adopt RMS individually or in combination to mitigate the adverse effects of natural calamities on their livelihood.The risk-averse farmers,who perceive weather-related risks as a threat,access credits and information,and have farms close to a river are more likely to adopt RMS,irrespective of the format of the strategies available.Moreover,the predicted probabilities and correlation of the RMS and RM categories have strengthened our model estimation.These findings provide insights into the behavior of farmers in adopting RMS which are helpful for policymakers and stakeholders in developing strategies to mitigate the impacts of natural calamities on farmers.
基金Anhui Provincial Health Research Project Fund(Grant No.AHWJ2023-BAc20143)Pharmaceutical Research Exploration Fund of the First Affiliated Hospital of University of Science and Technology of China(Grant No.YJKJJ04)14th Five Year Plan Anhui Province Medical and Health Clinical Key Specialty Construction Project Support.
文摘To mitigate risks associated with the prescription examination,marking,dispensing,checking,and review of non-integral-dosage drugs in Pharmacy Intravenous Admixture Service(PIVAS),we formed a project team.Employing the failure mode and effect analysis(FMEA)management method,we identified potential risks in four critical steps of the non-integral-dosage drug dispensing process within PIVAS drug management:prescription verification,mixed allocation,and verification.For each step,we assigned scores for severity,incidence,and detectability,subsequently calculating the Risk Priority Number(RPN)to prioritize identified risks.Targeted measures for improvement were developed for steps with the highest RPN values.A total of 31 risk factors were documented in the management of non-integral-dosage drugs,with the dispensing process being particularly vulnerable.Specific measures were devised for eight high RPN risks.Following a 3-month optimization and improvement period,RPN values and incidences of internal differences were significantly reduced.The implemented measures demonstrated effective risk control.Notably,we established a comprehensive conversion system for partial-dose drug dispensing,directly translating into a volume of suction fluid for dispensing personnel based on doctor orders.This eliminated the need for manual secondary calculations,thereby standardizing and automating the dispensing of non-integral-dosage drugs in PIVAS.Simultaneously,our project team conducted a dissolution test on 23 types of drugs with non-integral dosage,revealing that the solvent volume increased for 11 types after dissolution.The dosage conversion for partial dosage was recalibrated based on the volume of the final solution to ensure dosage accuracy.Through the application of failure mode and effect analysis,we systematically managed the risks associated with non-integral-dosage drugs in PIVAS.This approach addressed safety concerns in the dispensing process,reduced errors,and ensured the safe and precise administration of medication to patients.
文摘Climate services (CS) are crucial for mitigating and managing the impacts and risks associated with climate-induced disasters. While evidence over the past decade underscores their effectiveness across various domains, particularly agriculture, to maximize their potential, it is crucial to identify emerging priority areas and existing research gaps for future research agendas. As a contribution to this effort, this paper employs the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) methodology to review the state-of-the-art in the field of climate services for disaster risk management. A comprehensive search across five literature databases combined with a snowball search method using ResearchRabbit was conducted and yielded 242 peer-reviewed articles, book sections, and reports over 2013-2023 after the screening process. The analysis revealed flood, drought, and food insecurity as major climate-related disasters addressed in the reviewed literature. Major climate services addressed included early warning systems, (sub)seasonal forecasts and impact-based warnings. Grounded in the policy processes’ theoretical perspective, the main focus identified and discussed three prevailing policy-oriented priority areas: 1) development of climate services, 2) use-adoption-uptake, and 3) evaluation of climate services. In response to the limitations of the prevalent supply-driven and top-down approach to climate services promotion, co-production emerges as a cross-cutting critical aspect of the identified priority areas. Despite the extensive research in the field, more attention is needed, particularly pronounced in the science-policy interface perspective, which in practice bridges scientific knowledge and policy decisions for effective policy processes. This perspective offers a valuable analytical lens as an entry point for further investigation. Hence, future research agendas would generate insightful evidence by scrutinizing this critical aspect given its importance to institutions and climate services capacity, to better understand intricate facets of the development and the integration of climate services into disaster risk management.
文摘Risk management is relevant for every project that which seeks to avoid and suppress unanticipated costs, basically calling for pre-emptive action. The current work proposes a new approach for handling risks based on predictive analytics and machine learning (ML) that can work in real-time to help avoid risks and increase project adaptability. The main research aim of the study is to ascertain risk presence in projects by using historical data from previous projects, focusing on important aspects such as time, task time, resources and project results. t-SNE technique applies feature engineering in the reduction of the dimensionality while preserving important structural properties. This process is analysed using measures including recall, F1-score, accuracy and precision measurements. The results demonstrate that the Gradient Boosting Machine (GBM) achieves an impressive 85% accuracy, 82% precision, 85% recall, and 80% F1-score, surpassing previous models. Additionally, predictive analytics achieves a resource utilisation efficiency of 85%, compared to 70% for traditional allocation methods, and a project cost reduction of 10%, double the 5% achieved by traditional approaches. Furthermore, the study indicates that while GBM excels in overall accuracy, Logistic Regression (LR) offers more favourable precision-recall trade-offs, highlighting the importance of model selection in project risk management.
文摘Enterprise risk management has become increasingly crucial in today’s complex and volatile business environment. This study explores the application of Multi-Criteria Decision Analysis (MCDA) in enterprise risk management. MCDA provides a systematic approach to handling multidimensional risk assessment issues. The research begins by analyzing various types of risks faced by enterprises, including financial, operational, and strategic risks. It then examines the specific applications of major MCDA methods, such as the Analytic Hierarchy Process (AHP) and TOPSIS, in risk identification, assessment, and response. The study finds that MCDA can effectively integrate qualitative and quantitative risk information, enhancing the scientific nature of risk decision-making. However, MCDA also faces challenges in practice, such as the subjectivity in determining indicator weights. To address this issue, the research proposes improved methods combining fuzzy theory and group decision-making. Finally, case analyses illustrate the effectiveness of MCDA applications in risk management across different industries. This study provides theoretical guidance for enterprises to build more comprehensive and dynamic risk management systems.
文摘Objective:To study the role of nursing risk management in the prevention of post-ERCP pancreatitis.Methods:80 patients who underwent ERCP in our hospital from December 2023 to April 2024 were selected and randomly divided into an observation group and a control group using the random number table method,with 40 cases in each group.The observation group was given nursing risk management interventions and patients in the control group were given routine nursing interventions,and the patients in the two groups were compared in the incidence rate of pancreatitis and the satisfaction of nursing care.Results:The incidence of postoperative pancreatitis in the observation group was significantly lower than in the control group(P<0.05).The patient satisfaction of the observation group was significantly higher than that of the control group(P<0.05).Conclusion:Nursing risk management after ERCP can reduce the incidence of postoperative pancreatitis and improve patient satisfaction.
