With intensifying market competition and growing financial complexity,strengthening risk control in corporate capital investment management has become imperative.This paper examines the critical role of risk managemen...With intensifying market competition and growing financial complexity,strengthening risk control in corporate capital investment management has become imperative.This paper examines the critical role of risk management in ensuring financial stability,optimizing resource allocation,and achieving strategic objectives.It identifies key risk categories including market volatility,liquidity challenges,operational risks,and strategic misalignment,while proposing targeted strategies such as dynamic monitoring,strategic planning,decision-making optimization,and focused risk management.展开更多
Realizing campus sustainability requires the environmental-friendly and economical treatment of tremendous fallen leaves.Producing fallen leaf biochar at a low temperature is a candidate approach.In this study,six com...Realizing campus sustainability requires the environmental-friendly and economical treatment of tremendous fallen leaves.Producing fallen leaf biochar at a low temperature is a candidate approach.In this study,six common types of fallen leaves on the campus were pyrolyzed at 300℃.The obtained biochars were characterized and the adsorption mechanisms of lead(Pb)by the fallen leaf biochars were investigated.The adsorption capacity of leaf biochar for Pb was relatively high,up to 209 mg/g(Yulania denudata leaf biochar).Adsorption of Pb onto active sites was the rate-limiting step for most leaf biochars.But for Platanus leaf biochar,intraparticle diffusion of Pb^(2+)dominated owing to the lowest adsorption capacity.However,the highest exchangeable Pb fraction(27%)indicated its potential for removing aqueous Pb^(2+).Ginkgo and Prunus cerasifera leaf biochar immobilized Pb by surface complexation and precipitation as lead oxalate.Hence,they were suitable for soil heavy metal remediation.This study shed the light on the sustainable utilization of campus fallen leaves and the application of fallen leaf biochars in heavy metal remediation.展开更多
A comprehensive understanding of city structures and urban dynamics can greatly improve the efficiency and quality of urban planning and management,while the traditional approaches of which,such as manual surveys,usua...A comprehensive understanding of city structures and urban dynamics can greatly improve the efficiency and quality of urban planning and management,while the traditional approaches of which,such as manual surveys,usually incur substantial labor and time.In this paper,we propose a data-driven framework to sense urban structures and dynamics from large-scale vehicle mobility data.First,we divide the city into fine-grained grids,and cluster the grids with similar mobility features into structured urban areas with a proposed distance-constrained clustering algorithm(DCCA).Second,we detect irregular mobility traffic patterns in each area leveraging an ARIMA-based anomaly detection algorithm(ADAM),and correlate them to the urban social and emergency events.Finally,we build a visualization system to demonstrate the urban structures and crowd dynamics.We evaluate our framework using real-world datasets collected from Xiamen city,China,and the results show that the proposed framework can sense urban structures and crowd comprehensively and effectively.展开更多
文摘With intensifying market competition and growing financial complexity,strengthening risk control in corporate capital investment management has become imperative.This paper examines the critical role of risk management in ensuring financial stability,optimizing resource allocation,and achieving strategic objectives.It identifies key risk categories including market volatility,liquidity challenges,operational risks,and strategic misalignment,while proposing targeted strategies such as dynamic monitoring,strategic planning,decision-making optimization,and focused risk management.
基金supported by the National Natural Science Foundation of China(No.42277123)Natural Science Foundation of Jiangsu Province(No.BK20220787)。
文摘Realizing campus sustainability requires the environmental-friendly and economical treatment of tremendous fallen leaves.Producing fallen leaf biochar at a low temperature is a candidate approach.In this study,six common types of fallen leaves on the campus were pyrolyzed at 300℃.The obtained biochars were characterized and the adsorption mechanisms of lead(Pb)by the fallen leaf biochars were investigated.The adsorption capacity of leaf biochar for Pb was relatively high,up to 209 mg/g(Yulania denudata leaf biochar).Adsorption of Pb onto active sites was the rate-limiting step for most leaf biochars.But for Platanus leaf biochar,intraparticle diffusion of Pb^(2+)dominated owing to the lowest adsorption capacity.However,the highest exchangeable Pb fraction(27%)indicated its potential for removing aqueous Pb^(2+).Ginkgo and Prunus cerasifera leaf biochar immobilized Pb by surface complexation and precipitation as lead oxalate.Hence,they were suitable for soil heavy metal remediation.This study shed the light on the sustainable utilization of campus fallen leaves and the application of fallen leaf biochars in heavy metal remediation.
基金We would like to thank the reviewers for their constructive suggestions.This research was supported by the China Fundamental Research Funds for the Central Universities(20720170040)the National Natural Science Foundation of China(Grant No.61802325)Natural Science Foundation of Fujian Province,China(2018J01105).
文摘A comprehensive understanding of city structures and urban dynamics can greatly improve the efficiency and quality of urban planning and management,while the traditional approaches of which,such as manual surveys,usually incur substantial labor and time.In this paper,we propose a data-driven framework to sense urban structures and dynamics from large-scale vehicle mobility data.First,we divide the city into fine-grained grids,and cluster the grids with similar mobility features into structured urban areas with a proposed distance-constrained clustering algorithm(DCCA).Second,we detect irregular mobility traffic patterns in each area leveraging an ARIMA-based anomaly detection algorithm(ADAM),and correlate them to the urban social and emergency events.Finally,we build a visualization system to demonstrate the urban structures and crowd dynamics.We evaluate our framework using real-world datasets collected from Xiamen city,China,and the results show that the proposed framework can sense urban structures and crowd comprehensively and effectively.
