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In recent years, blockchain technology has attracted substantial interest for its capability to transform supply chain management and finance. This paper employs evolutionary game theory to investigate the application of blockchain in mitigating financial risks within supply chains, taking into account the technology's maturity and the risk preferences of financial institutions. By modeling interactions among financial institutions, small and medium enterprises (SMEs), and core enterprises within the accounts receivable financing framework, this study evaluates blockchain's impact on their decision-making and its efficacy in risk reduction. Our findings suggest the transformative potential of blockchain in mitigating financial risks, solving information asymmetry, and enhancing collaboration between financial entities and SMEs. Additionally, we integrate smart contracts into supply chain finance, proposing pragmatic procedures for their deployment in real-world contexts. Via a detailed examination of blockchain's maturity and financial institutions' risk preferences, this research demonstrates the primary determinants of strategic decisions in supply chain finance and underscores how blockchain technology fosters system stability using risk mitigation. Our innovative contribution lies in the design of smart contracts for the ARF process, rooted in blockchain's core attributes of security, transparency, and immutability, thereby ensuring efficient operation and cost reduction in supply chain finance. [ABSTRACT FROM AUTHOR]

In view of power quality problem caused by progressively increase of nonlinear devices of coal mine enterprise, evaluation index and comprehensive evaluation method of coal mine power quality were proposed. Firstly, evaluation index system of coal mine power quality was built according to influence of nonlinear equipment to coal mine power supply system; then, combination weight of evaluation index was decided by improved analytic hierarchy process (subjective weighting method) and entropy weight method (objective weighting method)finally, comprehensive evaluation of coal mine power quality was performed by combination of probability theory and fuzzy mathematics. Example analysis result verified rationality of evaluation index system and feasibility of the comprehensive evaluation method for coal mine power quality.

Treating hazardous waste Ni from the electroplating industry is mandated world-wide, is exceptionally expensive, and carries a very high CO2 footprint. Rather than regarding Ni as a disposable waste, the chemicals and petrochemicals industries could instead consider it a huge resource. In the work described herein, we present a strategy for upcycling waste Ni from electroplating wastewater into a photothermal catalyst for converting CO2 to CO. Specifically, magnetic nanoparticles encapsulated in amine functionalized porous SiO2, is demonstrated to efficiently scavenge Ni from electroplating wastewater for utilization in photothermal CO2 catalysis. The core-shell catalyst architecture produces CO at a rate of 1.9 mol·gNi−1·h−1 (44.1 mmol·gcat−1·h−1), a selectivity close to 100%, and notable long-term stability. This strategy of upcycling metal waste into functional, catalytic materials offers a multi-pronged approach for clean and renewable energy technologies. The valorization of undesirable substrates offers a two-fold strategy for pollution remediation and renewable energy conversion. Here, authors demonstrate the scavenging of Ni from electroplating wastewater and subsequent utilization as materials for photothermal CO2 reduction. [ABSTRACT FROM AUTHOR]