In the era of the digital economy,traditional supply chain finance models face challenges such as information fragmentation,inefficient processes,and insufficient credit transmission,necessitating digital transformati...In the era of the digital economy,traditional supply chain finance models face challenges such as information fragmentation,inefficient processes,and insufficient credit transmission,necessitating digital transformation.This study focuses on Kweichow Moutai Group,systematically analyzing its innovative practices in supply chain finance and examining the mechanisms through which digital technologies enhance core enterprise credit empowerment,improve supply chain collaboration efficiency,and optimize risk management.The research reveals that Moutai Group has transformed supply chain finance from unilateral credit granting to ecosystem-based credit sharing by establishing an IoT-enabled asset verification platform,developing smart contract-driven bill financing systems,and building a blockchain-based multi-party credit alliance.This model significantly lowers financing barriers for small and medium-sized suppliers while creating new value chain growth points through data assetization strategies.Finally,the study proposes further improvements from the perspectives of technical standardization and adaptive regulatory frameworks.展开更多
Prolog is one of the most important candidates to build expert systems and AI-related programs and has potential applications in embedded systems. However, Prolog is not suitable to develop many kinds of components, s...Prolog is one of the most important candidates to build expert systems and AI-related programs and has potential applications in embedded systems. However, Prolog is not suitable to develop many kinds of components, such as data acquisition and task scheduling, which are also crucial. To make the best use of the advantages and bypass the disadvantages, it is attractive to integrate Prolog with programs developed by other languages. In this paper, an IPC-based method is used to integrate backward chaining inference implemented by Prolog into applications or embedded systems. A Prolog design pattern is derived from the method for reuse, whose principle and definition are provided in detail. Additionally, the design pattern is applied to a target system, which is free software, to verify its feasibility. The detailed implementation of the application is given to clarify the design pattern. The design pattern can be further applied to wide range applications and embedded systems and the method described in this paper can also be adopted for other logic programming languages.展开更多
Using nonequilibrium molecular dynamics simulations, we study the thermal conductivity of asymmetric double chains. We couple two different single chains through interchain coupling to build three kinds of asymmetric ...Using nonequilibrium molecular dynamics simulations, we study the thermal conductivity of asymmetric double chains. We couple two different single chains through interchain coupling to build three kinds of asymmetric double- stranded chain system: intrachain interaction, external potential, and mass asymmetric double chains. It is reported that asymmetry is helpful in improving the thermal conductivity of the system. We first propose double-heat flux channels to explain the influence of asymmetric structures on the thermal conductivity. The phonon spectral behaviour and finite size effect are also included.展开更多
All-polymer solar cells(all-PSCs)comprising polymer donors and polymer acceptors have attracted considerable attention due to their superior photo-thermal stability and mechanical stretchability[1-3].However,the early...All-polymer solar cells(all-PSCs)comprising polymer donors and polymer acceptors have attracted considerable attention due to their superior photo-thermal stability and mechanical stretchability[1-3].However,the early polymer acceptors exhibit weak absorption coefficients in the longer wavelength region(600-900 nm),limiting the photovoltaic performances of all-PSCs[4-8].In order to address this issue,polymerization of the state-of-the-art A-D-A smallmolecule acceptors(SMAs)viaπ-linkers was proposed to develop new polymer acceptors[9].The polymerized SMAs(PSMAs)can not only inherit the strong near-infrared absorption from the corresponding SMAs,but also have tunable electronic energy levels,thus greatly improving the photovoltaic performances of all-PSCs[10-20].Particularly,the power conversion efficiencies(PCEs)have even surpassed 19%for the all-PSCs based on the Y-series PSMAs and suitable polymer donors[21-24].展开更多
文摘In the era of the digital economy,traditional supply chain finance models face challenges such as information fragmentation,inefficient processes,and insufficient credit transmission,necessitating digital transformation.This study focuses on Kweichow Moutai Group,systematically analyzing its innovative practices in supply chain finance and examining the mechanisms through which digital technologies enhance core enterprise credit empowerment,improve supply chain collaboration efficiency,and optimize risk management.The research reveals that Moutai Group has transformed supply chain finance from unilateral credit granting to ecosystem-based credit sharing by establishing an IoT-enabled asset verification platform,developing smart contract-driven bill financing systems,and building a blockchain-based multi-party credit alliance.This model significantly lowers financing barriers for small and medium-sized suppliers while creating new value chain growth points through data assetization strategies.Finally,the study proposes further improvements from the perspectives of technical standardization and adaptive regulatory frameworks.
基金supported by the National Natural Science Foundation of China (No.61304111)National Basic Research Program of China (No. 2014CB744904)Fundamental Research Funds for the Central Universities of China (Nos. YWF-14-KKX-001 and YWF-13-JQCJ)
文摘Prolog is one of the most important candidates to build expert systems and AI-related programs and has potential applications in embedded systems. However, Prolog is not suitable to develop many kinds of components, such as data acquisition and task scheduling, which are also crucial. To make the best use of the advantages and bypass the disadvantages, it is attractive to integrate Prolog with programs developed by other languages. In this paper, an IPC-based method is used to integrate backward chaining inference implemented by Prolog into applications or embedded systems. A Prolog design pattern is derived from the method for reuse, whose principle and definition are provided in detail. Additionally, the design pattern is applied to a target system, which is free software, to verify its feasibility. The detailed implementation of the application is given to clarify the design pattern. The design pattern can be further applied to wide range applications and embedded systems and the method described in this paper can also be adopted for other logic programming languages.
基金supported in part by the National Natural Science Foundation of China (Grant No. 11004082)the Natural Science Foundation of Guangdong Province of China (Grant No. 01005249)the Fundamental Research Funds for the Central Universities of China (Grant No. 21609305)
文摘Using nonequilibrium molecular dynamics simulations, we study the thermal conductivity of asymmetric double chains. We couple two different single chains through interchain coupling to build three kinds of asymmetric double- stranded chain system: intrachain interaction, external potential, and mass asymmetric double chains. It is reported that asymmetry is helpful in improving the thermal conductivity of the system. We first propose double-heat flux channels to explain the influence of asymmetric structures on the thermal conductivity. The phonon spectral behaviour and finite size effect are also included.
基金supported by the Strategic Priority Research Program of the Chinese Academy of Sciences(XDB0520102)the National Key R&D Program of China(2024YFA1209600)+1 种基金the National Natural Science Foundation of China(22173108)the Youth Innovation Promotion Association CAS(2023037).
文摘All-polymer solar cells(all-PSCs)comprising polymer donors and polymer acceptors have attracted considerable attention due to their superior photo-thermal stability and mechanical stretchability[1-3].However,the early polymer acceptors exhibit weak absorption coefficients in the longer wavelength region(600-900 nm),limiting the photovoltaic performances of all-PSCs[4-8].In order to address this issue,polymerization of the state-of-the-art A-D-A smallmolecule acceptors(SMAs)viaπ-linkers was proposed to develop new polymer acceptors[9].The polymerized SMAs(PSMAs)can not only inherit the strong near-infrared absorption from the corresponding SMAs,but also have tunable electronic energy levels,thus greatly improving the photovoltaic performances of all-PSCs[10-20].Particularly,the power conversion efficiencies(PCEs)have even surpassed 19%for the all-PSCs based on the Y-series PSMAs and suitable polymer donors[21-24].