Enhancing ecological security for sustainable social,economic,and environmental development is a key focus of current research and a practical necessity for ecological management.However,the integration of retrospecti...Enhancing ecological security for sustainable social,economic,and environmental development is a key focus of current research and a practical necessity for ecological management.However,the integration of retrospective ecological security assessments with future trend predictions and fine-scale targeted regulations remains inadequate,limiting effective ecological governance and sustainable regional development.Guided by Social-Economic-Natural Complex Ecosystems(SENCE)theory,this study proposes an analytical framework that integrates ecological security assessment,prediction,and zoning management.The Daqing River Basin,a typical river basin in the North China Plain,was selected as a case study.The results indicate that overall ecological security in the Daqing River Basin improved from a“Moderate”level to a“Relatively Safe”level between 2000 and 2020;however,spatial heterogeneity persisted,with higher ecological security in northwestern and eastern regions and lower ecological security in the central region.Approximately 62% of the Basin experienced an improvement in ecological security level,except in the major urban areas of Beijing,Tianjin,and Hebei,where ecological security deteriorated.From 2025 to 2040,the overall ecological security of the Daqing River Basin is expected to improve and remain at the“Relatively Safe”level.However,spatial heterogeneity will be further aggravated as the ecological security of major urban areas continues to deteriorate.Ecological security management zones and regulation strategies are proposed at the regional and county scales to emphasize integrated regulation for the entire basin and major urban areas.The proposed analytical framework provides valuable insights for advancing theoretical research on ecological security.The case study offers a practical reference for ecological security enhancement in river basins and other regions facing significant human-land conflicts.展开更多
Integration and management of the flexibility of Demand Side Resources (DSR) in today’s energy systems plays a significant role in building up a sustainable society. However, the challenges of understanding, predicat...Integration and management of the flexibility of Demand Side Resources (DSR) in today’s energy systems plays a significant role in building up a sustainable society. However, the challenges of understanding, predicating and handling the uncertainties associated this subject to a great extent hamper its development. In this paper, an analytical framework based on a multi-portfolio setup in presence of a deregulated power market is proposed to address such challenges by adopting the thinking in modern portfolio theory (MPT). A Numerical example that targets on analyzing the risk and return for various flexibility pricing strategies are presented to illustrate some features of the framework.展开更多
In the economic analysis framework,natural resources and environmental factors are included in the category of capital or land.Hence,the explanatory variables of the production function only include capital,labor and ...In the economic analysis framework,natural resources and environmental factors are included in the category of capital or land.Hence,the explanatory variables of the production function only include capital,labor and the residue term technology.Such framework may be designed for methodological reasons,but it is展开更多
Supervisor selection is important for research students in their future studies and careers.Currently,students rely on information search or friends recommendation to find potential research supervisors.However,due to...Supervisor selection is important for research students in their future studies and careers.Currently,students rely on information search or friends recommendation to find potential research supervisors.However,due to the challenges of incomplete and asymmetric information,students can hardly find suitable supervisors that match their research interests as well as personalities.Existing methods mainly consider topic-relevance and candidate-quality,and overlook the significance of connectivity consideration and two-sided matching degree of individuals personality styles.It proposes a novel supervisor recommendation approach that integrates relevance,connectivity,quality and personality-matching dimensions.The results of user-based evaluations demonstrate that the proposed approach generates more satisfactory recommendations as compared to that of all baseline methods.The present solution has been implemented as a social network recommendation service on ScholarMate.展开更多
With the low-carbon coordinated development in Beijing-Tianjin-Hebei Region as the starting point, the necessity and realistic difficulties in achieving the lowcarbon coordination in Beijing-Tianjin-Hebei Region was a...With the low-carbon coordinated development in Beijing-Tianjin-Hebei Region as the starting point, the necessity and realistic difficulties in achieving the lowcarbon coordination in Beijing-Tianjin-Hebei Region was analyzed, based on which we constructed the systematic analytical framework for low-carbon coordination in Beijing-Tianjin-Hebei Region, and proposed the development path of regional lowcarbon coordinated development from the three levels of government, industry and consumer with the aim to provide specific references for the low-carbon coordinated development in Beijing-Tianjin-Hebei Region.展开更多
Research on child-friendly cities is an integral part of the Global Childhood Research Movement,emerging under the influence of the new sociology of childhood,feminist theory,and postmodern space theory.It has gone th...Research on child-friendly cities is an integral part of the Global Childhood Research Movement,emerging under the influence of the new sociology of childhood,feminist theory,and postmodern space theory.It has gone through several developmental stages:a period of germination from the 1970s to the 1980s,a period of exploration from the 1990s to the end of the 20th century,and a period of maturation from the 21st century to the present.During this process,the analytical framework has roughly transitioned from a focus on“age-development”to“social construction,”and then to“social structure.”In response to the current neglect of the shift from a child to a childhood perspective,China's child-friendly cities should harness the momentum of the Global Childhood Research Movement.They should pay attention to the spatial issues arising under“inter-generational relations and generational structure,”revitalize the educational and natural attributes of space,and propose urban development strategies focusing on multi-generational childhood and all-age-friendly city programs from a childhood perspective.This approach will help to realize the coordination between people(in their childhood stages)and place(urban space).展开更多
With the advent of digital therapeutics(DTx),the development of software as a medical device(SaMD)for mobile and wearable devices has gained significant attention in recent years.Existing DTx evaluations,such as rando...With the advent of digital therapeutics(DTx),the development of software as a medical device(SaMD)for mobile and wearable devices has gained significant attention in recent years.Existing DTx evaluations,such as randomized clinical trials,mostly focus on verifying the effectiveness of DTx products.To acquire a deeper understanding of DTx engagement and behavioral adherence,beyond efficacy,a large amount of contextual and interaction data from mobile and wearable devices during field deployment would be required for analysis.In this work,the overall flow of the data-driven DTx analytics is reviewed to help researchers and practitioners to explore DTx datasets,to investigate contextual patterns associated with DTx usage,and to establish the(causal)relationship between DTx engagement and behavioral adherence.This review of the key components of datadriven analytics provides novel research directions in the analysis of mobile sensor and interaction datasets,which helps to iteratively improve the receptivity of existing DTx.展开更多
As nearly half of the incidents in enterprise security have been triggered by insiders,it is important to deploy a more intelligent defense system to assist enterprises in pinpointing and resolving the incidents cause...As nearly half of the incidents in enterprise security have been triggered by insiders,it is important to deploy a more intelligent defense system to assist enterprises in pinpointing and resolving the incidents caused by insiders or malicious software(malware)in real-time.Failing to do so may cause a serious loss of reputation as well as business.At the same time,modern network traffic has dynamic patterns,high complexity,and large volumes that make it more difficult to detect malware early.The ability to learn tasks sequentially is crucial to the development of artificial intelligence.Existing neurogenetic computation models with deep-learning techniques are able to detect complex patterns;however,the models have limitations,including catastrophic forgetfulness,and require intensive computational resources.As defense systems using deep-learning models require more time to learn new traffic patterns,they cannot perform fully online(on-the-fly)learning.Hence,an intelligent attack/malware detection system with on-the-fly learning capability is required.For this paper,a memory-prediction framework was adopted,and a simplified single cell assembled sequential hierarchical memory(s.SCASHM)model instead of the hierarchical temporal memory(HTM)model is proposed to speed up learning convergence to achieve onthe-fly learning.The s.SCASHM consists of a Single Neuronal Cell(SNC)model and a simplified Sequential Hierarchical Superset(SHS)platform.The s.SCASHMis implemented as the prediction engine of a user behavior analysis tool to detect insider attacks/anomalies.The experimental results show that the proposed memory model can predict users’traffic behavior with accuracy level ranging from 72%to 83%while performing on-the-fly learning.展开更多
To evaluate the risk of highly pathogenic avian influenza （HPAI） in China's Mainland, a risk assessment framework was built. Risk factors were determined by analyzing the epidemic data using the brainstorming me...To evaluate the risk of highly pathogenic avian influenza （HPAI） in China's Mainland, a risk assessment framework was built. Risk factors were determined by analyzing the epidemic data using the brainstorming method; the analytic hierarchy process was designed to weigh risk factors, and the integrated multicriteria analysis was used to evaluate the final result. The completed framework included the risk factor system, data standards for risk factors, weights of risk factors, and integrated assessment methods. This risk assessment framework can be used to quantitatively analyze the outbreak and spread of HPAI in China's Mainland.展开更多
Big data analytics has been widely adopted by large companies to achieve measurable benefits including increased profitability,customer demand forecasting,cheaper development of products,and improved stock control.Sma...Big data analytics has been widely adopted by large companies to achieve measurable benefits including increased profitability,customer demand forecasting,cheaper development of products,and improved stock control.Small and medium sized enterprises(SMEs)are the backbone of the global economy,comprising of 90%of businesses worldwide.However,only 10%SMEs have adopted big data analytics despite the competitive advantage they could achieve.Previous research has analysed the barriers to adoption and a strategic framework has been developed to help SMEs adopt big data analytics.The framework was converted into a scoring tool which has been applied to multiple case studies of SMEs in the UK.This paper documents the process of evaluating the framework based on the structured feedback from a focus group composed of experienced practitioners.The results of the evaluation are presented with a discussion on the results,and the paper concludes with recommendations to improve the scoring tool based on the proposed framework.The research demonstrates that this positioning tool is beneficial for SMEs to achieve competitive advantages by increasing the application of business intelligence and big data analytics.展开更多
Ontology-Driven Analytic Models for Pension Management are sophisticated approaches that integrate the principles of ontology and analytics to optimize the management and decision-making processes within pension syste...Ontology-Driven Analytic Models for Pension Management are sophisticated approaches that integrate the principles of ontology and analytics to optimize the management and decision-making processes within pension systems. While Ontology-Driven Analytic Models offer significant benefits for pension management, there are also challenges associated with implementing and utilizing the models. Developing a comprehensive and accurate ontology for pension management requires a deep understanding of the domain, including regulatory frameworks, investment strategies, retirement planning, and integration of data from heterogenous sources. Integrating these data into a cohesive ontology can be challenging. This research work leverages on semantic ontology as an approach for structured representation of knowledge about concepts and their relationships, and applies it to analyze and optimize decision support for pension management. The proposed ontology presents a formal and explicit specification of concepts (classes), their attributes, and the relationships between them and provides a shared and standardized understanding of the domain;enabling precise communication and knowledge representation for decision-support. The ontology deploys computational frameworks and analytic models to assess and evaluate data, generate insights, predict future pension fund performance as well as assess risk exposure. The research adopts the Reasoner, SPARQL query and OWL Visualizer executed over Java IDE for modelling the ontology-driven analytics. The approach encapsulated and integrated semantic ontologies with analytical models to enhance the accuracy, contextuality, and comprehensiveness of analyses and decisions within pension systems.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
This paper takes the financial statements of MI from 2017to 2019,and uses Harvard analysis framework to analyse the financial situation of MI.The analysis content mainly includes enterprise macro environment,industry ...This paper takes the financial statements of MI from 2017to 2019,and uses Harvard analysis framework to analyse the financial situation of MI.The analysis content mainly includes enterprise macro environment,industry competitive analysis and financial ratio analysis.This paper tried to understand the current situation and development prospect of MI.Based on the analysis of MI’s financial situation under the framework of Harvard,we summarized the existing problems and put forward suggestions.展开更多
基金supported by the project of the National Natural Science Foundation of China(42330705).
文摘Enhancing ecological security for sustainable social,economic,and environmental development is a key focus of current research and a practical necessity for ecological management.However,the integration of retrospective ecological security assessments with future trend predictions and fine-scale targeted regulations remains inadequate,limiting effective ecological governance and sustainable regional development.Guided by Social-Economic-Natural Complex Ecosystems(SENCE)theory,this study proposes an analytical framework that integrates ecological security assessment,prediction,and zoning management.The Daqing River Basin,a typical river basin in the North China Plain,was selected as a case study.The results indicate that overall ecological security in the Daqing River Basin improved from a“Moderate”level to a“Relatively Safe”level between 2000 and 2020;however,spatial heterogeneity persisted,with higher ecological security in northwestern and eastern regions and lower ecological security in the central region.Approximately 62% of the Basin experienced an improvement in ecological security level,except in the major urban areas of Beijing,Tianjin,and Hebei,where ecological security deteriorated.From 2025 to 2040,the overall ecological security of the Daqing River Basin is expected to improve and remain at the“Relatively Safe”level.However,spatial heterogeneity will be further aggravated as the ecological security of major urban areas continues to deteriorate.Ecological security management zones and regulation strategies are proposed at the regional and county scales to emphasize integrated regulation for the entire basin and major urban areas.The proposed analytical framework provides valuable insights for advancing theoretical research on ecological security.The case study offers a practical reference for ecological security enhancement in river basins and other regions facing significant human-land conflicts.
文摘Integration and management of the flexibility of Demand Side Resources (DSR) in today’s energy systems plays a significant role in building up a sustainable society. However, the challenges of understanding, predicating and handling the uncertainties associated this subject to a great extent hamper its development. In this paper, an analytical framework based on a multi-portfolio setup in presence of a deregulated power market is proposed to address such challenges by adopting the thinking in modern portfolio theory (MPT). A Numerical example that targets on analyzing the risk and return for various flexibility pricing strategies are presented to illustrate some features of the framework.
文摘In the economic analysis framework,natural resources and environmental factors are included in the category of capital or land.Hence,the explanatory variables of the production function only include capital,labor and the residue term technology.Such framework may be designed for methodological reasons,but it is
基金Fujian Provincial Education Department Project,China(No.JAS180414)Putian University Project,China(No.2018061)Fujian Provincial Social Science Project,China(No.FJ2017C008)
文摘Supervisor selection is important for research students in their future studies and careers.Currently,students rely on information search or friends recommendation to find potential research supervisors.However,due to the challenges of incomplete and asymmetric information,students can hardly find suitable supervisors that match their research interests as well as personalities.Existing methods mainly consider topic-relevance and candidate-quality,and overlook the significance of connectivity consideration and two-sided matching degree of individuals personality styles.It proposes a novel supervisor recommendation approach that integrates relevance,connectivity,quality and personality-matching dimensions.The results of user-based evaluations demonstrate that the proposed approach generates more satisfactory recommendations as compared to that of all baseline methods.The present solution has been implemented as a social network recommendation service on ScholarMate.
基金Study on the Coordinated Innovation of Agricultural Knowledge Under the Perspective of Industrial Chain,One of the Periodical Achievements of Strategic Research Program for the Science and Technology Development of Tianjin City(15ZLZLZF00210)Study on the Evolution Path and Scientific and Technological Supporting System of Agriculture of Appropriate Scale Based on Heterogeneous Farmers,One of the Periodical Achievements of Strategic Research Program for the Science and Technology Development of Tianjin City(15ZLZLZF00390)~~
文摘With the low-carbon coordinated development in Beijing-Tianjin-Hebei Region as the starting point, the necessity and realistic difficulties in achieving the lowcarbon coordination in Beijing-Tianjin-Hebei Region was analyzed, based on which we constructed the systematic analytical framework for low-carbon coordination in Beijing-Tianjin-Hebei Region, and proposed the development path of regional lowcarbon coordinated development from the three levels of government, industry and consumer with the aim to provide specific references for the low-carbon coordinated development in Beijing-Tianjin-Hebei Region.
文摘Research on child-friendly cities is an integral part of the Global Childhood Research Movement,emerging under the influence of the new sociology of childhood,feminist theory,and postmodern space theory.It has gone through several developmental stages:a period of germination from the 1970s to the 1980s,a period of exploration from the 1990s to the end of the 20th century,and a period of maturation from the 21st century to the present.During this process,the analytical framework has roughly transitioned from a focus on“age-development”to“social construction,”and then to“social structure.”In response to the current neglect of the shift from a child to a childhood perspective,China's child-friendly cities should harness the momentum of the Global Childhood Research Movement.They should pay attention to the spatial issues arising under“inter-generational relations and generational structure,”revitalize the educational and natural attributes of space,and propose urban development strategies focusing on multi-generational childhood and all-age-friendly city programs from a childhood perspective.This approach will help to realize the coordination between people(in their childhood stages)and place(urban space).
基金supported by Basic Science Research Program through the National Research Foundation of Korea(NRF)funded by the Korea government(MSIT)(2020R1A4A1018774)。
文摘With the advent of digital therapeutics(DTx),the development of software as a medical device(SaMD)for mobile and wearable devices has gained significant attention in recent years.Existing DTx evaluations,such as randomized clinical trials,mostly focus on verifying the effectiveness of DTx products.To acquire a deeper understanding of DTx engagement and behavioral adherence,beyond efficacy,a large amount of contextual and interaction data from mobile and wearable devices during field deployment would be required for analysis.In this work,the overall flow of the data-driven DTx analytics is reviewed to help researchers and practitioners to explore DTx datasets,to investigate contextual patterns associated with DTx usage,and to establish the(causal)relationship between DTx engagement and behavioral adherence.This review of the key components of datadriven analytics provides novel research directions in the analysis of mobile sensor and interaction datasets,which helps to iteratively improve the receptivity of existing DTx.
基金This research was funded by Scientific Research Deanship,Albaha University,under the Grant Number:[24/1440].
文摘As nearly half of the incidents in enterprise security have been triggered by insiders,it is important to deploy a more intelligent defense system to assist enterprises in pinpointing and resolving the incidents caused by insiders or malicious software(malware)in real-time.Failing to do so may cause a serious loss of reputation as well as business.At the same time,modern network traffic has dynamic patterns,high complexity,and large volumes that make it more difficult to detect malware early.The ability to learn tasks sequentially is crucial to the development of artificial intelligence.Existing neurogenetic computation models with deep-learning techniques are able to detect complex patterns;however,the models have limitations,including catastrophic forgetfulness,and require intensive computational resources.As defense systems using deep-learning models require more time to learn new traffic patterns,they cannot perform fully online(on-the-fly)learning.Hence,an intelligent attack/malware detection system with on-the-fly learning capability is required.For this paper,a memory-prediction framework was adopted,and a simplified single cell assembled sequential hierarchical memory(s.SCASHM)model instead of the hierarchical temporal memory(HTM)model is proposed to speed up learning convergence to achieve onthe-fly learning.The s.SCASHM consists of a Single Neuronal Cell(SNC)model and a simplified Sequential Hierarchical Superset(SHS)platform.The s.SCASHMis implemented as the prediction engine of a user behavior analysis tool to detect insider attacks/anomalies.The experimental results show that the proposed memory model can predict users’traffic behavior with accuracy level ranging from 72%to 83%while performing on-the-fly learning.
文摘To evaluate the risk of highly pathogenic avian influenza （HPAI） in China's Mainland, a risk assessment framework was built. Risk factors were determined by analyzing the epidemic data using the brainstorming method; the analytic hierarchy process was designed to weigh risk factors, and the integrated multicriteria analysis was used to evaluate the final result. The completed framework included the risk factor system, data standards for risk factors, weights of risk factors, and integrated assessment methods. This risk assessment framework can be used to quantitatively analyze the outbreak and spread of HPAI in China's Mainland.
文摘Big data analytics has been widely adopted by large companies to achieve measurable benefits including increased profitability,customer demand forecasting,cheaper development of products,and improved stock control.Small and medium sized enterprises(SMEs)are the backbone of the global economy,comprising of 90%of businesses worldwide.However,only 10%SMEs have adopted big data analytics despite the competitive advantage they could achieve.Previous research has analysed the barriers to adoption and a strategic framework has been developed to help SMEs adopt big data analytics.The framework was converted into a scoring tool which has been applied to multiple case studies of SMEs in the UK.This paper documents the process of evaluating the framework based on the structured feedback from a focus group composed of experienced practitioners.The results of the evaluation are presented with a discussion on the results,and the paper concludes with recommendations to improve the scoring tool based on the proposed framework.The research demonstrates that this positioning tool is beneficial for SMEs to achieve competitive advantages by increasing the application of business intelligence and big data analytics.
文摘Ontology-Driven Analytic Models for Pension Management are sophisticated approaches that integrate the principles of ontology and analytics to optimize the management and decision-making processes within pension systems. While Ontology-Driven Analytic Models offer significant benefits for pension management, there are also challenges associated with implementing and utilizing the models. Developing a comprehensive and accurate ontology for pension management requires a deep understanding of the domain, including regulatory frameworks, investment strategies, retirement planning, and integration of data from heterogenous sources. Integrating these data into a cohesive ontology can be challenging. This research work leverages on semantic ontology as an approach for structured representation of knowledge about concepts and their relationships, and applies it to analyze and optimize decision support for pension management. The proposed ontology presents a formal and explicit specification of concepts (classes), their attributes, and the relationships between them and provides a shared and standardized understanding of the domain;enabling precise communication and knowledge representation for decision-support. The ontology deploys computational frameworks and analytic models to assess and evaluate data, generate insights, predict future pension fund performance as well as assess risk exposure. The research adopts the Reasoner, SPARQL query and OWL Visualizer executed over Java IDE for modelling the ontology-driven analytics. The approach encapsulated and integrated semantic ontologies with analytical models to enhance the accuracy, contextuality, and comprehensiveness of analyses and decisions within pension systems.
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This paper takes the financial statements of MI from 2017to 2019,and uses Harvard analysis framework to analyse the financial situation of MI.The analysis content mainly includes enterprise macro environment,industry competitive analysis and financial ratio analysis.This paper tried to understand the current situation and development prospect of MI.Based on the analysis of MI’s financial situation under the framework of Harvard,we summarized the existing problems and put forward suggestions.
