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
Evolutionary algorithm is time-consuming because of the large number of evolutions and much times of finite element analysis, when it is used to optimize the wing structure of a certain high altitude long endurance un...Evolutionary algorithm is time-consuming because of the large number of evolutions and much times of finite element analysis, when it is used to optimize the wing structure of a certain high altitude long endurance unmanned aviation vehicle（UAV）. In order to improve efficiency it is proposed to construct a model management framework to perform the multi-objective optimization design of wing structure. The sufficient accurate approximation models of objective and constraint functions in the wing structure optimization model are built when using the model management framework, therefore in the evolutionary algorithm a number of finite element analyses can he avoided and the satisfactory multi-objective optimization results of the wing structure of the high altitude long endurance UAV are obtained.展开更多
The Zambian mining industry is crucial to the national economy but struggles with inconsistent equipment maintenance practices. This study developed an Equipment Maintenance Management Framework (EMMF) tailored to the...The Zambian mining industry is crucial to the national economy but struggles with inconsistent equipment maintenance practices. This study developed an Equipment Maintenance Management Framework (EMMF) tailored to the industry’s needs. Using surveys, interviews, and on-site visits at eight major mining companies, we identified significant variations in maintenance strategies, CMMS usage, and reliability engineering. The EMMF prioritizes predictive maintenance, efficient CMMS implementation, ongoing training, and robust reliability engineering to shift from reactive to proactive maintenance. We recommend adopting continuous improvement practices and data-driven decision-making based on performance metrics, with a phased EMMF implementation aligning maintenance with strategic business objectives. This framework is poised to enhance operational efficiency, equipment reliability, and safety, fostering sustainable growth in the Zambian mining sector.展开更多
The banking industry is placing increasing emphasis on green finance to address climate change,support sustainable development,and align with environmental,social,and governance(ESG)goals,as well as sustainable invest...The banking industry is placing increasing emphasis on green finance to address climate change,support sustainable development,and align with environmental,social,and governance(ESG)goals,as well as sustainable investments to fund environmentally friendly projects.In an era of growing regulatory pressure and rising demand for sustainability from investors and stakeholders,green finance has become a vital tool for banks to enhance operational efficiency.It can reduce operational costs by financing energy-saving projects,improve asset quality by funding low-risk sustainable projects,and even attract capital from environmentally responsible capital markets.Additionally,green finance helps improve risk management frameworks by financing projects that align with long-term sustainable development objectives.This paper explores the relationship between green finance and the operational efficiency of three major banks—RHB Bank,Industrial and Commercial Bank of China(ICBC),and Deutsche Bank.The article focuses on analyzing how these banks integrate green finance into their strategies and the overall impact of these initiatives on operational performance,primarily cost reduction.展开更多
Healthcare security and privacy breaches are occurring in the United States (US), and increased substantially during the pandemic. This paper reviews the National Institute of Standards and Technology (NIST) publicati...Healthcare security and privacy breaches are occurring in the United States (US), and increased substantially during the pandemic. This paper reviews the National Institute of Standards and Technology (NIST) publication base as an effective solution. The NIST Special Publication 800-66 Revision 1 was an essential standard in US healthcare, which was withdrawn in February 2024 and superseded by SP 800-66 Revision 2. This review investigates the academic papers concerning the application of the NIST SP 800-66 Revision 1 standard in the US healthcare literature. A systematic review method was used in this study to determine current knowledge gaps of the SP 800-66 Revision 1. Some limitations were employed in the search to enforce validity. A total of eleven articles were found eligible for the study. Consequently, this study suggests the necessity for additional academic papers pertaining to SP 800-66 Revision 2 in the US healthcare literature. In turn, it will enhance awareness of safeguarding electronic protected health information (ePHI), help to mitigate potential future risks, and eventually reduce breaches.展开更多
The Japanese Spanish mackerel Scomberomorus niphonius(Cuvier,1832)is widely distributed in the subtropical and temperate waters of the northwestern Pacific Ocean,supporting one of the most important commercial fisheri...The Japanese Spanish mackerel Scomberomorus niphonius(Cuvier,1832)is widely distributed in the subtropical and temperate waters of the northwestern Pacific Ocean,supporting one of the most important commercial fisheries in China.However,ignoring the potential population structure changes induced by fishing pressure and climate change may undermine the population stability under the current management strategy.In this study,the population structure of the Japanese Spanish mackerel was investigated based on a morphometric truss network system.A total of 534 individuals were randomly collected from commercial gill nets spanning eight major spawning grounds in the Bohai,Yellow,and East China Seas during the peak spawning seasons respectively.A total of 17 measurements(including eye diameter)were conducted in each specimen and subjected to principal component analysis(PCA)and discriminant function analysis(DFA).The results of PCA indicated that the first two factors cumulatively caused 78.38%of the total morphometric variation and observable differences,primarily fin the caudal and trunk areas.The results of DFA revealed that the eight spawning groups can be divided into three stocks,i.e.,southern,middle,and northern stocks,with 68.7%of total accuracy.In contrast to previous studies,the spawning groups of the Japanese Spanish mackerel demonstrated a tendency to disperse to northern regions.In conclusion,this study found that to maintain the stability of the population structure and the total production of Japanese Spanish mackerel S.niphonius(Cuvier,1832),a newly revised management method should be developed and implemented.展开更多
For aerodynamic shape optimization, the approximation management framework （AMF） method is used to organize and manage the variable-fidelity models. The method can take full advantage of the low-fidelity, cheaper mo...For aerodynamic shape optimization, the approximation management framework （AMF） method is used to organize and manage the variable-fidelity models. The method can take full advantage of the low-fidelity, cheaper models to concentrate the main workload on the low-fidelity models in optimization iterative procedure. Furthermore, it can take high-fidelity, more expensive models to monitor the procedure to make the method globally convergent to a solution of high-fidelity problem. Finally, zero order variable-fidelity aerodynamic optimization management framework and search algorithm are demonstrated on an airfoil optimization of UAV with a flying wing. Compared to the original shape, the aerodynamic performance of the optimal shape is improved. The results show the method has good feasibility and applicability.展开更多
The Internet of Medical Things(IoMT)is an online device that senses and transmits medical data from users to physicians within a time interval.In,recent years,IoMT has rapidly grown in the medicalfield to provide heal...The Internet of Medical Things(IoMT)is an online device that senses and transmits medical data from users to physicians within a time interval.In,recent years,IoMT has rapidly grown in the medicalfield to provide healthcare services without physical appearance.With the use of sensors,IoMT applications are used in healthcare management.In such applications,one of the most important factors is data security,given that its transmission over the network may cause obtrusion.For data security in IoMT systems,blockchain is used due to its numerous blocks for secure data storage.In this study,Blockchain-assisted secure data management framework(BSDMF)and Proof of Activity(PoA)protocol using malicious code detection algorithm is used in the proposed data security for the healthcare system.The main aim is to enhance the data security over the networks.The PoA protocol enhances high security of data from the literature review.By replacing the malicious node from the block,the PoA can provide high security for medical data in the blockchain.Comparison with existing systems shows that the proposed simulation with BSD-Malicious code detection algorithm achieves higher accuracy ratio,precision ratio,security,and efficiency and less response time for Blockchain-enabled healthcare systems.展开更多
As CAD/CAM becomes more and more popular, efficiently managing large amounts of engineering data becomes essential for improving design efficiency and quality. This paper analyses five basic features of product data m...As CAD/CAM becomes more and more popular, efficiently managing large amounts of engineering data becomes essential for improving design efficiency and quality. This paper analyses five basic features of product data management and combines them with real industrial examples. Then, an object oriented product data management model is presented. To carry out the model, the paper presents the architecture of the Cax information management and integration system (Cax IMIS), and focuses on its core technology, implementation of an object management framework, and discusses the process of realizing the inherent attributes, relations, and messages between objects using the object dictionary and storing detail information about the persistent objects in relation database management system (RDBMS). The method provides an effective object management framework for Cax IMIS.展开更多
The article describes a generic implementation process for risk management that integrates the risk management framework and process described in ISO 31000.According to the process the organizations are able to effect...The article describes a generic implementation process for risk management that integrates the risk management framework and process described in ISO 31000.According to the process the organizations are able to effectively implement risk management ISO 31000,adapted to their unique circumstances.展开更多
How managers’ knowledge and beliefs of human nature are formed and manifested has not been fully explored in the context of Chinese society going through rapid transition nowadays. And yet this could be the missing l...How managers’ knowledge and beliefs of human nature are formed and manifested has not been fully explored in the context of Chinese society going through rapid transition nowadays. And yet this could be the missing link in our discourse on Chinese managers. Based on a qualitative study conducted in Quanzhou, China, this study found certain assumptions of human nature that are deeply embedded in their managers’ intellectual framework, which in turn guide their managerial behaviours in diverse aspects of their work. Unless the managers are prepared to examine their own thoughts, especially those at the sub-conscious level, they would remain prisoners of their own thought, and all the efforts directed at transforming managers would be seriously compromised.展开更多
This paper presents a thermal management framework for 120 kV hybrid commutated converter(HCC)valves,addressing critical cooling challenges in multi-hundred-MW power conversion systems.Power loss calculations under ra...This paper presents a thermal management framework for 120 kV hybrid commutated converter(HCC)valves,addressing critical cooling challenges in multi-hundred-MW power conversion systems.Power loss calculations under rated(1.0 p.u.)and overload(1.2 p.u.)conditions demonstrate that HCC valves achieve comparable loss levels to line commutated converter counterparts while enabling active turn-off control.Comparative analysis of radiator configurations identifies 2-parallel branch connections as optimal.Integrated thermal-fluid models combining 3D finite element analysis and computational fluid dynamics reveal significant temperature gradients and flow maldistribution in baseline designs.On this basis,this paper modifies the flow from equal flow resistance allocation to heat-based allocation and it reduces maximum integrated gate-commutated thyristor temperature rise by 7.3%at 1.2 p.u.with minimal pressure drop variation.Experimental validation confirms the proposed cooling strategy enhances valve safety margins through improved heat dissipation balance,providing a validated theoretical foundation for high-power converter thermal design.展开更多
With extensive application of building information modeling(BIM),vast BIM model resources have accumulated from both new and existing projects.Digital twins,a key application of these models,face two main challenges:e...With extensive application of building information modeling(BIM),vast BIM model resources have accumulated from both new and existing projects.Digital twins,a key application of these models,face two main challenges:exponential growth in geometric and attribute data,risking data explosion,and low data utilization due to insufficient semantic association among multi-source data across projects and domains.This paper addresses the challenge of reducing system complexity via scenario-driven methods while achieving deep semantic integration of cross-domain BIM data.It proposes an ontology-based“Digital Theater”framework that defines data boundaries based on scenario requirements and employs dynamic trimming strategies to reduce complexity.By combining a simplified data standard with a multi-domain fusion ontology model,the framework constructs scenario-based data integration rules for semantic alignment.An adaptive relational database with object storage design further supports efficient engineering data storage and utilization.The proposed method significantly reduces the complexity of data processing,enabling the integrated application of multi-domain data at a lower cost while enhancing the decision-support capabilities of BIM data.This framework demonstrates potential for application in diverse scenarios,supporting engineering digitalization and smart city development.展开更多
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.
文摘Evolutionary algorithm is time-consuming because of the large number of evolutions and much times of finite element analysis, when it is used to optimize the wing structure of a certain high altitude long endurance unmanned aviation vehicle（UAV）. In order to improve efficiency it is proposed to construct a model management framework to perform the multi-objective optimization design of wing structure. The sufficient accurate approximation models of objective and constraint functions in the wing structure optimization model are built when using the model management framework, therefore in the evolutionary algorithm a number of finite element analyses can he avoided and the satisfactory multi-objective optimization results of the wing structure of the high altitude long endurance UAV are obtained.
文摘The Zambian mining industry is crucial to the national economy but struggles with inconsistent equipment maintenance practices. This study developed an Equipment Maintenance Management Framework (EMMF) tailored to the industry’s needs. Using surveys, interviews, and on-site visits at eight major mining companies, we identified significant variations in maintenance strategies, CMMS usage, and reliability engineering. The EMMF prioritizes predictive maintenance, efficient CMMS implementation, ongoing training, and robust reliability engineering to shift from reactive to proactive maintenance. We recommend adopting continuous improvement practices and data-driven decision-making based on performance metrics, with a phased EMMF implementation aligning maintenance with strategic business objectives. This framework is poised to enhance operational efficiency, equipment reliability, and safety, fostering sustainable growth in the Zambian mining sector.
文摘The banking industry is placing increasing emphasis on green finance to address climate change,support sustainable development,and align with environmental,social,and governance(ESG)goals,as well as sustainable investments to fund environmentally friendly projects.In an era of growing regulatory pressure and rising demand for sustainability from investors and stakeholders,green finance has become a vital tool for banks to enhance operational efficiency.It can reduce operational costs by financing energy-saving projects,improve asset quality by funding low-risk sustainable projects,and even attract capital from environmentally responsible capital markets.Additionally,green finance helps improve risk management frameworks by financing projects that align with long-term sustainable development objectives.This paper explores the relationship between green finance and the operational efficiency of three major banks—RHB Bank,Industrial and Commercial Bank of China(ICBC),and Deutsche Bank.The article focuses on analyzing how these banks integrate green finance into their strategies and the overall impact of these initiatives on operational performance,primarily cost reduction.
文摘Healthcare security and privacy breaches are occurring in the United States (US), and increased substantially during the pandemic. This paper reviews the National Institute of Standards and Technology (NIST) publication base as an effective solution. The NIST Special Publication 800-66 Revision 1 was an essential standard in US healthcare, which was withdrawn in February 2024 and superseded by SP 800-66 Revision 2. This review investigates the academic papers concerning the application of the NIST SP 800-66 Revision 1 standard in the US healthcare literature. A systematic review method was used in this study to determine current knowledge gaps of the SP 800-66 Revision 1. Some limitations were employed in the search to enforce validity. A total of eleven articles were found eligible for the study. Consequently, this study suggests the necessity for additional academic papers pertaining to SP 800-66 Revision 2 in the US healthcare literature. In turn, it will enhance awareness of safeguarding electronic protected health information (ePHI), help to mitigate potential future risks, and eventually reduce breaches.
基金supported by the Fundamental Research Funds for the Central Universities of Ocean University of China(Nos.201762015 and 201822027)
文摘The Japanese Spanish mackerel Scomberomorus niphonius(Cuvier,1832)is widely distributed in the subtropical and temperate waters of the northwestern Pacific Ocean,supporting one of the most important commercial fisheries in China.However,ignoring the potential population structure changes induced by fishing pressure and climate change may undermine the population stability under the current management strategy.In this study,the population structure of the Japanese Spanish mackerel was investigated based on a morphometric truss network system.A total of 534 individuals were randomly collected from commercial gill nets spanning eight major spawning grounds in the Bohai,Yellow,and East China Seas during the peak spawning seasons respectively.A total of 17 measurements(including eye diameter)were conducted in each specimen and subjected to principal component analysis(PCA)and discriminant function analysis(DFA).The results of PCA indicated that the first two factors cumulatively caused 78.38%of the total morphometric variation and observable differences,primarily fin the caudal and trunk areas.The results of DFA revealed that the eight spawning groups can be divided into three stocks,i.e.,southern,middle,and northern stocks,with 68.7%of total accuracy.In contrast to previous studies,the spawning groups of the Japanese Spanish mackerel demonstrated a tendency to disperse to northern regions.In conclusion,this study found that to maintain the stability of the population structure and the total production of Japanese Spanish mackerel S.niphonius(Cuvier,1832),a newly revised management method should be developed and implemented.
基金Project supported by the National Natural Science Foundation of China (No.10502043)
文摘For aerodynamic shape optimization, the approximation management framework （AMF） method is used to organize and manage the variable-fidelity models. The method can take full advantage of the low-fidelity, cheaper models to concentrate the main workload on the low-fidelity models in optimization iterative procedure. Furthermore, it can take high-fidelity, more expensive models to monitor the procedure to make the method globally convergent to a solution of high-fidelity problem. Finally, zero order variable-fidelity aerodynamic optimization management framework and search algorithm are demonstrated on an airfoil optimization of UAV with a flying wing. Compared to the original shape, the aerodynamic performance of the optimal shape is improved. The results show the method has good feasibility and applicability.
基金Taif University Researchers Supporting Project Number(TURSP-2020/98),Taif University,Taif,Saudi Arabia.
文摘The Internet of Medical Things(IoMT)is an online device that senses and transmits medical data from users to physicians within a time interval.In,recent years,IoMT has rapidly grown in the medicalfield to provide healthcare services without physical appearance.With the use of sensors,IoMT applications are used in healthcare management.In such applications,one of the most important factors is data security,given that its transmission over the network may cause obtrusion.For data security in IoMT systems,blockchain is used due to its numerous blocks for secure data storage.In this study,Blockchain-assisted secure data management framework(BSDMF)and Proof of Activity(PoA)protocol using malicious code detection algorithm is used in the proposed data security for the healthcare system.The main aim is to enhance the data security over the networks.The PoA protocol enhances high security of data from the literature review.By replacing the malicious node from the block,the PoA can provide high security for medical data in the blockchain.Comparison with existing systems shows that the proposed simulation with BSD-Malicious code detection algorithm achieves higher accuracy ratio,precision ratio,security,and efficiency and less response time for Blockchain-enabled healthcare systems.
文摘As CAD/CAM becomes more and more popular, efficiently managing large amounts of engineering data becomes essential for improving design efficiency and quality. This paper analyses five basic features of product data management and combines them with real industrial examples. Then, an object oriented product data management model is presented. To carry out the model, the paper presents the architecture of the Cax information management and integration system (Cax IMIS), and focuses on its core technology, implementation of an object management framework, and discusses the process of realizing the inherent attributes, relations, and messages between objects using the object dictionary and storing detail information about the persistent objects in relation database management system (RDBMS). The method provides an effective object management framework for Cax IMIS.
文摘The article describes a generic implementation process for risk management that integrates the risk management framework and process described in ISO 31000.According to the process the organizations are able to effectively implement risk management ISO 31000,adapted to their unique circumstances.
文摘How managers’ knowledge and beliefs of human nature are formed and manifested has not been fully explored in the context of Chinese society going through rapid transition nowadays. And yet this could be the missing link in our discourse on Chinese managers. Based on a qualitative study conducted in Quanzhou, China, this study found certain assumptions of human nature that are deeply embedded in their managers’ intellectual framework, which in turn guide their managerial behaviours in diverse aspects of their work. Unless the managers are prepared to examine their own thoughts, especially those at the sub-conscious level, they would remain prisoners of their own thought, and all the efforts directed at transforming managers would be seriously compromised.
基金National Key Research and Development Program,Grant/Award Number:2023YFB2405900。
文摘This paper presents a thermal management framework for 120 kV hybrid commutated converter(HCC)valves,addressing critical cooling challenges in multi-hundred-MW power conversion systems.Power loss calculations under rated(1.0 p.u.)and overload(1.2 p.u.)conditions demonstrate that HCC valves achieve comparable loss levels to line commutated converter counterparts while enabling active turn-off control.Comparative analysis of radiator configurations identifies 2-parallel branch connections as optimal.Integrated thermal-fluid models combining 3D finite element analysis and computational fluid dynamics reveal significant temperature gradients and flow maldistribution in baseline designs.On this basis,this paper modifies the flow from equal flow resistance allocation to heat-based allocation and it reduces maximum integrated gate-commutated thyristor temperature rise by 7.3%at 1.2 p.u.with minimal pressure drop variation.Experimental validation confirms the proposed cooling strategy enhances valve safety margins through improved heat dissipation balance,providing a validated theoretical foundation for high-power converter thermal design.
基金supported by the National Key Research and Development Program of China“Comprehensive Application Demonstration of Self-developed BIM Platform in the Full Life Cycle of Engineering Construction”(Grant No.2024YFC3809700)。
文摘With extensive application of building information modeling(BIM),vast BIM model resources have accumulated from both new and existing projects.Digital twins,a key application of these models,face two main challenges:exponential growth in geometric and attribute data,risking data explosion,and low data utilization due to insufficient semantic association among multi-source data across projects and domains.This paper addresses the challenge of reducing system complexity via scenario-driven methods while achieving deep semantic integration of cross-domain BIM data.It proposes an ontology-based“Digital Theater”framework that defines data boundaries based on scenario requirements and employs dynamic trimming strategies to reduce complexity.By combining a simplified data standard with a multi-domain fusion ontology model,the framework constructs scenario-based data integration rules for semantic alignment.An adaptive relational database with object storage design further supports efficient engineering data storage and utilization.The proposed method significantly reduces the complexity of data processing,enabling the integrated application of multi-domain data at a lower cost while enhancing the decision-support capabilities of BIM data.This framework demonstrates potential for application in diverse scenarios,supporting engineering digitalization and smart city development.
