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
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
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
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
This paper presented detailed information about the timeline of development of drug risk management in FDA. The time process was divided into three stages： the launch of laws and regulations of drug risk management, ...This paper presented detailed information about the timeline of development of drug risk management in FDA. The time process was divided into three stages： the launch of laws and regulations of drug risk management, pre-market approval and post-market safety supervision, adverse drug reaction and risk communication. To address the problems existing in drug risk management in China, suggestions to further and improve the development of drug risk management are proposed.展开更多
Underground construction in China is featured by large scale, high speed, long construction period,complex operation and frustrating situations regarding project safety. Various accidents have been reported from time ...Underground construction in China is featured by large scale, high speed, long construction period,complex operation and frustrating situations regarding project safety. Various accidents have been reported from time to time, resulting in serious social impact and huge economic loss. This paper presents the main progress in the safety risk management of underground engineering in China over the last decade, i.e.（1） establishment of laws and regulations for safety risk management of underground engineering,（2） implementation of the safety risk management plan,（3） establishment of decision support system for risk management and early-warning based on information technology, and（4） strengthening the study on safety risk management, prediction and prevention. Based on the analysis of the typical accidents in China in the last decade, the new challenges in the safety risk management for underground engineering are identified as follows：（1） control of unsafe human behaviors;（2） technological innovation in safety risk management; and（3） design of safety risk management regulations. Finally, the strategies for safety risk management of underground engineering in China are proposed in six aspects, i.e. the safety risk management system and policy, law, administration, economy, education and technology.展开更多
Machine learning algorithms are an important measure with which to perform landslide susceptibility assessments, but most studies use GIS-based classification methods to conduct susceptibility zonation.This study pres...Machine learning algorithms are an important measure with which to perform landslide susceptibility assessments, but most studies use GIS-based classification methods to conduct susceptibility zonation.This study presents a machine learning approach based on the C5.0 decision tree(DT) model and the K-means cluster algorithm to produce a regional landslide susceptibility map. Yanchang County, a typical landslide-prone area located in northwestern China, was taken as the area of interest to introduce the proposed application procedure. A landslide inventory containing 82 landslides was prepared and subsequently randomly partitioned into two subsets: training data(70% landslide pixels) and validation data(30% landslide pixels). Fourteen landslide influencing factors were considered in the input dataset and were used to calculate the landslide occurrence probability based on the C5.0 decision tree model.Susceptibility zonation was implemented according to the cut-off values calculated by the K-means cluster algorithm. The validation results of the model performance analysis showed that the AUC(area under the receiver operating characteristic(ROC) curve) of the proposed model was the highest, reaching 0.88,compared with traditional models(support vector machine(SVM) = 0.85, Bayesian network(BN) = 0.81,frequency ratio(FR) = 0.75, weight of evidence(WOE) = 0.76). The landslide frequency ratio and frequency density of the high susceptibility zones were 6.76/km^(2) and 0.88/km^(2), respectively, which were much higher than those of the low susceptibility zones. The top 20% interval of landslide occurrence probability contained 89% of the historical landslides but only accounted for 10.3% of the total area.Our results indicate that the distribution of high susceptibility zones was more focused without containing more " stable" pixels. Therefore, the obtained susceptibility map is suitable for application to landslide risk management practices.展开更多
Related to complexity, there is a wide diversity of concepts, ranging from ‘‘systemic" to ‘‘complex", implying a need for a unified terminology. Per different authors, the main drivers of complexity can ...Related to complexity, there is a wide diversity of concepts, ranging from ‘‘systemic" to ‘‘complex", implying a need for a unified terminology. Per different authors, the main drivers of complexity can be found in human behaviour and uncertainty. This complexity, structural or dynamic can be organizational, technological, or nested in their relationship. ISO international standard 31000:2009 definition of risk management ‘‘coordinated activities to direct and control an organization with regard to risk", when applied to economic sectors, industry, services, project, or activity, it requires the use of models or theories as guidelines. Therefore, as its basic elements comprehend human behaviour and/or uncertainty, risk management to be effective and adapted as much as possible to reality, must be operational within complex systems, as already demonstrated in different R&D environments. Risk management faces demanding challenges when approaching specific and endogenous needs, such as the mining sector. This paper presents a multivariable function analysis methodology approach based on complex system modelling and through real data corresponding to a risk management tool in the mining sector.展开更多
On a global scale,from 2005 to 2019,there were 275 high-magnitude,low-frequency disasters that involved 14,172 fatalities and four million affected people.Similar patterns have taken place during longer periods of tim...On a global scale,from 2005 to 2019,there were 275 high-magnitude,low-frequency disasters that involved 14,172 fatalities and four million affected people.Similar patterns have taken place during longer periods of time in recent decades.This paper aims to analyse the contribution of the international landslide research community to disaster risk reduction and disaster risk management in reference to the use of Unmanned Aerial Vehicles(UAVs)in a literature review.The first section notes the relevance of disaster risk research contributions for the implementation of initiatives and strategies concerning disaster risk management.The second section highlights background information and current applications of drones in the field of hazards and risk.The methodology,which included a systematic peer review of journals in the ISI Web of Science and SCOPUS,was presented in the third section,where the results include analyses of the considered data.This study concludes that most current scholarly efforts remain rooted in hazards and post-disaster evaluation and response.Future landslide disaster risk research should be transdisciplinary in order to strengthen participation of the various relevant stakeholders in contributing to integrated disaster risk management at local,subnational,national,regional and global levels.展开更多
Landslide disasters reflect the conflict between human society and the natural environment,posing challenges to the sustainable development of mountain regions.Identification of potential landslides,estimation of the ...Landslide disasters reflect the conflict between human society and the natural environment,posing challenges to the sustainable development of mountain regions.Identification of potential landslides,estimation of the degree of damage and potential losses of elements at risk,and control of the loss are the major tasks of landslide risk management.Resilience is defined as a social system’s comprehensive abilities to cope with disasters,including the abilities to prepare,anticipate,preserve,absorb,respond,resist,recover,mitigate,learn,and adapt.As an indispensable role,resilience enables more rational landslide risk management for social sustainability.However,quantitative landslide risk management does not pay sufficient attention to the role of resilience.Hence,in this paper,the role of resilience in a landslide risk management framework is systematically discussed.A quantita-tive landslide risk management framework consists of hazard analysis,exposure analysis,risk estimation,risk evaluation,and risk control.In hazard analysis,resilience assessment could help identify potential landslides that could cause significant damage due to the poor resilience of the elements at risk.Resilience assessment in exposure analysis might aid in identifying the most vulnerable elements or regions to certain landslides.Consid-eration of resilience in risk estimation aids in the calculation of indirect losses and improves the results of direct losses analysis.In risk evaluation,resilience as a disaster-coping ability will impact the social system’s landslide risk tolerance threshold.Enhancing resilience is an essential strategy to reduce the vulnerability of social sys-tems.We also proposed that the efficient use of risk information will increase the accuracy of landslide resilience assessments.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.
文摘This paper presented detailed information about the timeline of development of drug risk management in FDA. The time process was divided into three stages： the launch of laws and regulations of drug risk management, pre-market approval and post-market safety supervision, adverse drug reaction and risk communication. To address the problems existing in drug risk management in China, suggestions to further and improve the development of drug risk management are proposed.
基金supported by Chinese Academy of Engineering(grant No.2011-ZD-12)National Natural Science Foundation of China(grant No.11272178)National Basic Research Program of China(973 Program)(grant No.2011CB013502/3)
文摘Underground construction in China is featured by large scale, high speed, long construction period,complex operation and frustrating situations regarding project safety. Various accidents have been reported from time to time, resulting in serious social impact and huge economic loss. This paper presents the main progress in the safety risk management of underground engineering in China over the last decade, i.e.（1） establishment of laws and regulations for safety risk management of underground engineering,（2） implementation of the safety risk management plan,（3） establishment of decision support system for risk management and early-warning based on information technology, and（4） strengthening the study on safety risk management, prediction and prevention. Based on the analysis of the typical accidents in China in the last decade, the new challenges in the safety risk management for underground engineering are identified as follows：（1） control of unsafe human behaviors;（2） technological innovation in safety risk management; and（3） design of safety risk management regulations. Finally, the strategies for safety risk management of underground engineering in China are proposed in six aspects, i.e. the safety risk management system and policy, law, administration, economy, education and technology.
基金This research is funded by the National Natural Science Foundation of China(Grant Nos.41807285 and 51679117)Key Project of the State Key Laboratory of Geohazard Prevention and Geoenvironment Protection(SKLGP2019Z002)+3 种基金the National Science Foundation of Jiangxi Province,China(20192BAB216034)the China Postdoctoral Science Foundation(2019M652287 and 2020T130274)the Jiangxi Provincial Postdoctoral Science Foundation(2019KY08)Fundamental Research Funds for National Universities,China University of Geosciences(Wuhan)。
文摘Machine learning algorithms are an important measure with which to perform landslide susceptibility assessments, but most studies use GIS-based classification methods to conduct susceptibility zonation.This study presents a machine learning approach based on the C5.0 decision tree(DT) model and the K-means cluster algorithm to produce a regional landslide susceptibility map. Yanchang County, a typical landslide-prone area located in northwestern China, was taken as the area of interest to introduce the proposed application procedure. A landslide inventory containing 82 landslides was prepared and subsequently randomly partitioned into two subsets: training data(70% landslide pixels) and validation data(30% landslide pixels). Fourteen landslide influencing factors were considered in the input dataset and were used to calculate the landslide occurrence probability based on the C5.0 decision tree model.Susceptibility zonation was implemented according to the cut-off values calculated by the K-means cluster algorithm. The validation results of the model performance analysis showed that the AUC(area under the receiver operating characteristic(ROC) curve) of the proposed model was the highest, reaching 0.88,compared with traditional models(support vector machine(SVM) = 0.85, Bayesian network(BN) = 0.81,frequency ratio(FR) = 0.75, weight of evidence(WOE) = 0.76). The landslide frequency ratio and frequency density of the high susceptibility zones were 6.76/km^(2) and 0.88/km^(2), respectively, which were much higher than those of the low susceptibility zones. The top 20% interval of landslide occurrence probability contained 89% of the historical landslides but only accounted for 10.3% of the total area.Our results indicate that the distribution of high susceptibility zones was more focused without containing more " stable" pixels. Therefore, the obtained susceptibility map is suitable for application to landslide risk management practices.
文摘Related to complexity, there is a wide diversity of concepts, ranging from ‘‘systemic" to ‘‘complex", implying a need for a unified terminology. Per different authors, the main drivers of complexity can be found in human behaviour and uncertainty. This complexity, structural or dynamic can be organizational, technological, or nested in their relationship. ISO international standard 31000:2009 definition of risk management ‘‘coordinated activities to direct and control an organization with regard to risk", when applied to economic sectors, industry, services, project, or activity, it requires the use of models or theories as guidelines. Therefore, as its basic elements comprehend human behaviour and/or uncertainty, risk management to be effective and adapted as much as possible to reality, must be operational within complex systems, as already demonstrated in different R&D environments. Risk management faces demanding challenges when approaching specific and endogenous needs, such as the mining sector. This paper presents a multivariable function analysis methodology approach based on complex system modelling and through real data corresponding to a risk management tool in the mining sector.
基金carried out within the framework of the PAPIIT project IN300818,sponsored by DGAPA-UNAM。
文摘On a global scale,from 2005 to 2019,there were 275 high-magnitude,low-frequency disasters that involved 14,172 fatalities and four million affected people.Similar patterns have taken place during longer periods of time in recent decades.This paper aims to analyse the contribution of the international landslide research community to disaster risk reduction and disaster risk management in reference to the use of Unmanned Aerial Vehicles(UAVs)in a literature review.The first section notes the relevance of disaster risk research contributions for the implementation of initiatives and strategies concerning disaster risk management.The second section highlights background information and current applications of drones in the field of hazards and risk.The methodology,which included a systematic peer review of journals in the ISI Web of Science and SCOPUS,was presented in the third section,where the results include analyses of the considered data.This study concludes that most current scholarly efforts remain rooted in hazards and post-disaster evaluation and response.Future landslide disaster risk research should be transdisciplinary in order to strengthen participation of the various relevant stakeholders in contributing to integrated disaster risk management at local,subnational,national,regional and global levels.
基金This study was supported by the National Natural Science Founda-tion of China(Grants No.42041006,41941019)the Strategic Priority Research Program of Chinese Academy of Sciences(CAS)(Grant No.XDA23090301)the Second Tibetan Plateau Scientific Expedition and Research(STEP)Program(Grant No.2019QZKK0904).
文摘Landslide disasters reflect the conflict between human society and the natural environment,posing challenges to the sustainable development of mountain regions.Identification of potential landslides,estimation of the degree of damage and potential losses of elements at risk,and control of the loss are the major tasks of landslide risk management.Resilience is defined as a social system’s comprehensive abilities to cope with disasters,including the abilities to prepare,anticipate,preserve,absorb,respond,resist,recover,mitigate,learn,and adapt.As an indispensable role,resilience enables more rational landslide risk management for social sustainability.However,quantitative landslide risk management does not pay sufficient attention to the role of resilience.Hence,in this paper,the role of resilience in a landslide risk management framework is systematically discussed.A quantita-tive landslide risk management framework consists of hazard analysis,exposure analysis,risk estimation,risk evaluation,and risk control.In hazard analysis,resilience assessment could help identify potential landslides that could cause significant damage due to the poor resilience of the elements at risk.Resilience assessment in exposure analysis might aid in identifying the most vulnerable elements or regions to certain landslides.Consid-eration of resilience in risk estimation aids in the calculation of indirect losses and improves the results of direct losses analysis.In risk evaluation,resilience as a disaster-coping ability will impact the social system’s landslide risk tolerance threshold.Enhancing resilience is an essential strategy to reduce the vulnerability of social sys-tems.We also proposed that the efficient use of risk information will increase the accuracy of landslide resilience assessments.
