The China-ASEAN Free Trade Area(CAFTA)3.0Upgrade Protocol added a section on“Supply Chain Connectivity,”which emphasizes that all parties recognize the lessons learned from the COVID-19 pandemic and cooperate to enh...The China-ASEAN Free Trade Area(CAFTA)3.0Upgrade Protocol added a section on“Supply Chain Connectivity,”which emphasizes that all parties recognize the lessons learned from the COVID-19 pandemic and cooperate to enhance the resilience of the regional supply chain.This is an inevitable trend amid the current accelerated restructuring of the global supply chain,the complex and severe international economic and trade situation,and the impact on the regional industrial chain.It also represents a fundamental shift and consensus on the logic of supply chain cooperation between China and ASEAN countries—a transformation from“Efficiency First”to“Resilience First.”展开更多
The zigzag nitrogen chain,similar to the Ch-N structure,has long been considered as a potential high-energy-density structure.However,all the previously predicted zigzag N-chain structures,similar to Ch-N,exhibited im...The zigzag nitrogen chain,similar to the Ch-N structure,has long been considered as a potential high-energy-density structure.However,all the previously predicted zigzag N-chain structures,similar to Ch-N,exhibited imaginary frequencies in their phonon spectra at 0 GPa.Here,we conducted a systematic investigation of P-N compounds using first-principles calculations,uncovering a series of structurally similar stable phases,C2/m-PNx(x=6,8,10,12,and 14),in which N forms zigzag N chains similar to those in Ch-N.In P-N compounds,the longest zigzag N-chain,which can theoretically remain stable under ambient pressure,is the N-chain composed of 14 N atoms in C2/m-PN14.If the N-chain continues to grow,imaginary interchain vibrational frequencies arise in the system.Notably,N chains with an even number of atoms were more likely to be energetically favorable.The five C2/m-PNx phases and one metastable phase(R-PN6)exhibited remarkable stability and excellent detonability at ambient pressure,indicating that they are promising candidates for high-energy-density materials.In addition,R-PN6 was the first structure to stabilize the N6 ring through covalent bonding,with the covalent network contributing to its high hardness(47.59 GPa).展开更多
This study used ethanol and acetate as substrates,anaerobic digestion sludge as inoculum,and selected bamboo charcoal with three particle size conditions(<25,45–75,100–250μm)as the mediating material.While maint...This study used ethanol and acetate as substrates,anaerobic digestion sludge as inoculum,and selected bamboo charcoal with three particle size conditions(<25,45–75,100–250μm)as the mediating material.While maintaining consistent electrical conductivity levels of bamboo charcoal,we investigated the effect of specific surface area on the chain elongation reactions.Experimental results demonstrated that when bamboo charcoal served as the mediating material,larger specific surface area significantly enhanced the chain elongation for the production of medium-chain fatty acids.Microbial community composition analysis via 16S rRNA sequencing demonstrated that bamboo charcoal intervention promoted the enrichment of Clostridium_sensu_stricto_12,a keystone functional microbe exhibiting statistically significant positive correlations with the yield,electron transfer efficiency,and selectivity of MCFAs.Metagenomic analysis identified the simultaneous presence of reverseβ-oxidation and fatty acid biosynthesis pathways,with reverseβ-oxidation pathway serving as the dominant route.Notably,the Candidatus_Microthrix genus exhibited dual functionality by engaging in both pathways for MCFAs production.展开更多
Infrastructure development along the Belt and Road Initiative(BRI)corridors has progressively improved connectivity-both physical(“hard”)and institutional(“soft”)-among participating economies.This enables China t...Infrastructure development along the Belt and Road Initiative(BRI)corridors has progressively improved connectivity-both physical(“hard”)and institutional(“soft”)-among participating economies.This enables China to gradually build a more complex overseas supply chain system under the BRI framework.Using project-level data on transportation infrastructure projects in BRI countries from 2013 to 2018,combined with industry-level input-output tables for these economies,this study examines how improvements in market access induced by BRI transportation infrastructure affect the relocation of Chinese supply chains and identifies the underlying mechanisms.The results indicate that improved market access in BRI countries significantly facilitates the relocation of Chinese supply chains to these destinations.Mechanism analysis also shows that this effect primarily operates through China’s outward foreign direct investment(OFDI),especially in the form of non-greenfield investments and industrial projects.Moreover,heterogeneity analysis reveals that coastal countries and middle-and low-income countries are more likely to serve as destinations for relocated Chinese supply chains when market access improves.At the industry level,relocation is concentrated in sectors with low upstreamness,high transport dependence,and labor intensity.Furthermore,Chinese supply chains tend to shift toward country-industry pairs that exhibit stronger comparative advantages.These findings provide valuable insights for optimizing the global layout of Chinese supply chains and have important implications for deepening supply chain integration between China and BRI-participating countries.展开更多
Carbon-chain rubbers have been widely used in many fields including transportation,medicine,construction,and everyday life,owing to their excellent flexibility.Now,waste rubbers have caused serious environmental pollu...Carbon-chain rubbers have been widely used in many fields including transportation,medicine,construction,and everyday life,owing to their excellent flexibility.Now,waste rubbers have caused serious environmental pollution and resource waste.Chemical recovery is expected to provide a solution to solve these problems fundamentally.Here,the recent progress in selective chain scissions of the waste sulfur-vulcanized carbon-chain rubbers for reuse was reviewed.Based on the different devulcanization approaches,the polysulfide crosslinking chains or carbon chains were broken and the linear or branched degraded products could be obtained as structural prepolymers for new rubber products.After a comprehensive literature review on the effect of the molecular composition and topology of the devulcanized and degraded products on the new rubbers,the future perspectives were proposed.展开更多
The 4th China International Supply Chain Expo(CISCE)opens June 22,specialized firms,and industry institutions from 85 countries,regions,and organizations.Austrian firm Bruker Alicona,renowned in precision manufacturin...The 4th China International Supply Chain Expo(CISCE)opens June 22,specialized firms,and industry institutions from 85 countries,regions,and organizations.Austrian firm Bruker Alicona,renowned in precision manufacturing,exhibits as part of the Austrian delegation.展开更多
As global industrial and supply chains are rapidly rest ructuring,China’s strength in innovation,manufacturing coordination,and industrial support increasingly attracts multinational companies.The 4th China Internati...As global industrial and supply chains are rapidly rest ructuring,China’s strength in innovation,manufacturing coordination,and industrial support increasingly attracts multinational companies.The 4th China International Supply Chain Expo(CISCE),held in Beijing from June 22 to 26,will highlight how global enterprises are deepening their integration into China’s supply chain ecosystem,underscoring China’s pivotal role.展开更多
Against a backdrop of rising global trade protectionism and accelerated restructuring of international industrial and supply chains,regional institutional cooperation is becoming a key force in stabilizing cross-borde...Against a backdrop of rising global trade protectionism and accelerated restructuring of international industrial and supply chains,regional institutional cooperation is becoming a key force in stabilizing cross-border trade and investment.The ASEAN region enjoys strong economic growth momentum with a distinct demographic advantage while China boasts a complete industrial system and manufacturing capacity.展开更多
As the sun rises over the Johannesburg skyline,a steady stream of young South Africans files into Chinese chain stores to begin the day’s work.For Sbulele Nyati,China Mart is more than a workplace.Every box he unpack...As the sun rises over the Johannesburg skyline,a steady stream of young South Africans files into Chinese chain stores to begin the day’s work.For Sbulele Nyati,China Mart is more than a workplace.Every box he unpacks represents school fees for his daughter and groceries he will carry home on payday.“Whenever I go to work,I open the doors to a better life for my family.I am genuinely excited to have this opportunity,”Nyati told ChinAfrica.展开更多
The shift toward specialized and large-scale agricultural production has spurred the emergence of agricultural clusters as key forces of rural vitalization and sustainable development.This paper explored the formation...The shift toward specialized and large-scale agricultural production has spurred the emergence of agricultural clusters as key forces of rural vitalization and sustainable development.This paper explored the formation and evolution of Meizhou pomelo industry cluster in China,focusing on its role in restructuring rural socio-economic systems and integrating the whole value chains.Based on a case study employing qualitative methods such as in-depth interviews and participatory observation,the agricultural cluster evolution of Meizhou pomelo was categorized into three key phases of initial decentralization,self-organized scaling,and reorganized clustering.Geographical proximity and industrial agglomeration constitute the physical foundation,while vertical/horizontal linkages,technologic-al innovation,and policy support enhance competitiveness.Special mechanisms emerge through localized social networks,farmer co-operatives’activation,and cross-regional market expansion.The cluster’s impact is manifested in the shift from extensive to standard-ized and modernized production,diversified and flexible livelihood of farmers,and the integration of agriculture with industry and ser-vices.The development of the whole value chain based on agricultural cluster represents a critical pathway for achieving agricultural modernization,encompassing both internal and external value chain optimization.Through quality assurance systems,product diversi-fication strategies,operational efficiency improvements,and brand enhancement,these clusters amplify product value propositions and market competitiveness.This systemic approach facilitates supply-demand coordination,enables resource synergies,and optimizes eco-nomic returns across the horizontal and vertical value chain.This paper argues that agricultural clusters serve as strategic catalysts for sustainable rural development by reconstructing local production systems,fostering innovation ecosystems,and aligning agricultural modernization.It contributes to debates on rural vitalization by demonstrating how agricultural clustering can reconfigure rural areas as hubs of ecological modernization,rather than mere urban peripheries.展开更多
Supply chain resilience and efficiency are vital in industries characterized by volatile demand and uncertain supply,such as textiles and personal protective equipment(PPE).Traditional forecasting and optimization app...Supply chain resilience and efficiency are vital in industries characterized by volatile demand and uncertain supply,such as textiles and personal protective equipment(PPE).Traditional forecasting and optimization approaches often operate in isolation,limiting their real-world effectiveness.This paper proposes a Hybrid AI Framework for Demand–Supply Forecasting and Optimization(HAF-DS),which integrates a Long Short-Term Memory(LSTM)–based demand forecasting module with a mixed-integer linear programming(MILP)optimization layer.The LSTM captures temporal and contextual demand dependencies,while the optimization layer prescribes costefficient replenishment and allocation decisions.The framework jointly minimizes forecasting error and operational cost through embedding-based feature representation and recurrent neural architectures.Experiments on textile sales and supply chain datasets show significant performance gains over statistical and deep learning baselines.On the combined dataset,HAF-DS reduced Mean Absolute Error(MAE)from15.04 to 12.83(14.7%),Root Mean Squared Error(RMSE)from 19.53 to 17.11(12.4%),and Mean Absolute Percentage Error(MAPE)from 9.5%to 8.1%.Inventory cost decreased by 5.4%,stockouts by 27.5%,and service level rose from 95.5%to 97.8%.展开更多
Driven by globalization and digitization,the Mobile Industrial Supply Chain Internet of Things(IoT)has gradually developed,utilizing mobile devices and IoT technologies to enable real-time monitoring and efficient res...Driven by globalization and digitization,the Mobile Industrial Supply Chain Internet of Things(IoT)has gradually developed,utilizing mobile devices and IoT technologies to enable real-time monitoring and efficient responses across various stages.However,with the growing demand for high-frequency data exchange,the Mobile Industrial Supply Chain IoT faces significant challenges in data security,authentication,and privacy protection.This paper proposes a security authentication scheme based on blockchain and group key management,leveraging the decentralized and tamper-resistant features of blockchain,the privacy-preserving authentication method of Zero-Knowledge Proofs(ZKP),and a hierarchical key management mechanism based on binary key trees.This approach aims to enhance the security and scalability of Mobile Industrial Supply Chain IoT.The experimental section simulates scenarios such as dynamic node addition and key updates,evaluating the performance in terms of encryption,decryption,and key management efficiency,thus demonstrating its superiority in multi-party collaborative environments.展开更多
Under the carbon trading mechanism,this study establishes a decision-making model for a low-carbon supply chain comprising a single manufacturer and a retailer.It analyzes the impact of the retailer's altruistic p...Under the carbon trading mechanism,this study establishes a decision-making model for a low-carbon supply chain comprising a single manufacturer and a retailer.It analyzes the impact of the retailer's altruistic preferences on decision variables,profits,supply chain coordination,and the complexity of the dynamic decision-making model.The study indicates that the continuous increase in the adjustment parameters of decision variables can destabilize the supply chain system,with the adjustment parameter for wholesale price having a greater impact than the adjustment parameter for carbon emission reduction level.An increase in altruistic preferences reduces the stability region of the supply chain system,yet its influence on supply chain profits varies depending on the system's state.When the system is stable,altruistic preferences have a positive impact on overall profits;when the system is unstable,profits first increase and then decrease.Compared to decentralized decision-making,centralized decision-making yields higher profits.Based on this,we innovatively design a side-payment self-enforcing contract mechanism to effectively coordinate the supply chain and promote more efficient cooperation.After implementing this contract,the increase in retailers'altruistic preferences can expand the stability region of the supply chain system,and the impact of the carbon emission reduction level adjustment parameter on system stability is greater than that of the wholesale price adjustment parameter,which is different from the situation before the contract was implemented.展开更多
Prefabricated buildings are crucial for the transformation of the construction industry,while the Prefabricated Building Supply Chain Network(PBSCN)that supports their implementation is subject to uncertainties in pro...Prefabricated buildings are crucial for the transformation of the construction industry,while the Prefabricated Building Supply Chain Network(PBSCN)that supports their implementation is subject to uncertainties in production,transportation,and installation.These uncertainties lead to schedule delays and cost increases,which significantly hinder the widespread adoption of prefabricated buildings.To address these issues,this paper develops a three-tier optimization model that integrates component factories,logistics providers,and contractors to improve resource allocation and reduce total costs.This model explicitly accounts for uncertainty-induced delay propagation across stages and incorporates its impacts into the decision-making process through work stoppage cost at the construction site.A Scenario-Based Stochastic Programming(SBSP)approach is employed to determine optimal decisions,while Monte Carlo Simulation(MCS)is utilized to generate representative scenarios.Furthermore,the proposed model is extended to incorporate a carbon trading mechanism to examine the interaction between environmental regulation and supply chain decisions.The model's effectiveness is validated through a hypothetical case adapted from a real-world project,in which the optimal solutions involved concentrating approximately 6%of orders in the baseline case and 33.0%35.5%in the largescale experiment.Results show that proactively accounting for uncertainties not only reduced costs but also strengthened coordination among entities to improve resource utilization.This paper provides practical decision support for PBSCN stakeholders,helping them mitigate risks,optimize order allocation,and improve overall supply chain performance in an uncertain environment.展开更多
1,2-dimethoxyethane(DME)-based electrolyte is commonly employed in lithium metal batteries(LMBs)due to its excellent reductive stability and filming-forming ability,whereas the inferior oxidative stability and existin...1,2-dimethoxyethane(DME)-based electrolyte is commonly employed in lithium metal batteries(LMBs)due to its excellent reductive stability and filming-forming ability,whereas the inferior oxidative stability and existing safety hazards restrict its practical application.By adopting the localized high concentration electrolytes(LHCEs)strategy,the electrochemical performance can be enhanced with the assistance of diluents such as 1,1,2,2-tetrafluoroethyl 2,2,3,3-tetrafluoropropyl ether(TTE),while the safety performance remains unsatisfactory.Herein,a molecular chain elongation strategy has been proposed to enhance the spatial steric hindrance and intermolecular forces.The obtained 1,2-diethoxyethane(DEE)solvent and 1H,1H,5H-octafluoropentyl 1,1,2,2-tetrafluoroethyl ether(OTE)diluent exhibit weak solvation ability and elevated boiling/flash points,facilitating the formation of inorganic-rich interfacial layer and enhancing the safety performance.Therefore,the Li||LiNi0.8Co0.1Mn0.1O2(NCM811)full cells with DEE-based electrolyte can achieve stable cycling for over 1400 cycles at a cutoff voltage of 4.3 V and 500 cycles at a higher voltage of 4.4 V.Moreover,the commercial pouch cell displays remarkable cycling stability for 125 cycles under stringent conditions,along with excellent thermal stability and flame retardancy.Such a molecular chain elongation strategy offers an effective avenue for designing advanced electrolytes to better satisfy the demanding requirements of high-energy and high-safety LMBs.展开更多
The global value chain(GVC)is a central driver of the international division of labor and a critical lens for understanding global economic dynamics.This study constructs a long-term GVC network dataset using multi-re...The global value chain(GVC)is a central driver of the international division of labor and a critical lens for understanding global economic dynamics.This study constructs a long-term GVC network dataset using multi-regional input-output(MRIO)tables and input-output analysis techniques.By integrating advanced network analysis algorithms,this study characterizes the macrostructure and spatiotemporal evolution of the GVC network,examines its topological features,and evaluates the evolution of its structural resilience.The main findings are as follows:(1)Value flows among major economies form a hierarchical structure,and value distribution is highly uneven across space.The GVC network has expanded and densified over time,with rising value flows in East Asia,evolving from a dual-center structure centered on Europe and North America to a tri-polar structure comprising Europe,North America,and East Asia.(2)The core-periphery structure of the GVC network is pronounced,and a node’s position is determined by both the scale of its participation and the diversification of its value linkages.(3)The backbone structure of the GVC network has shifted from a single core centered on the United States to a dual-core system led by China and the United States,while Europe and Japan provide stabilizing support.Over time,the backbone structure has evolved with a trend of eastward shift and increasing globalization characteristics.(4)Overall resilience of the GVC network is limited and follows a four-stage evolutionary trajectory,with major international shocks serving as turning points.These findings elucidate the node and structural characteristics of the GVC network,contributing to a deeper understanding of global economic dynamics and the process of economic globalization.展开更多
The fragment yields in photon-induced fission reactions of thorium(Th)isotopes are important for modern nuclear energy applications and for understanding the evolution of the nuclear structures of their isotopic chain...The fragment yields in photon-induced fission reactions of thorium(Th)isotopes are important for modern nuclear energy applications and for understanding the evolution of the nuclear structures of their isotopic chains.Bayesian neural network(BNN)models were constructed to describe the fragment yields in photonuclear fission reactions of thorium isotopes,ranging from 216Th to 232Th,especially those of 232Th,at various incident photon energies.The predicted results of the optimized BNN models were in good agreement with the measured data for these reactions.The double-layer BNN models successfully illustrated the systematic transition from asymmetric to symmetric fission in thorium isotopes,including the associated oddeven effects,energy dependence,and leftward shift in mass yield distributions.The developed BNN models provide a new tool for predicting the fragment yields in thorium photonuclear fission reactions.展开更多
On December 18,2023,a magnitude 6.2 earthquake struck Jishishan County,Gansu Province,triggering a liquefaction-induced flow slide along the loess-mudstone contact zone and causing significant casualties and property ...On December 18,2023,a magnitude 6.2 earthquake struck Jishishan County,Gansu Province,triggering a liquefaction-induced flow slide along the loess-mudstone contact zone and causing significant casualties and property losses.The event featured low-slope,large-scale,runout distance sliding and exhibited a clear cascading disaster chain.Its characteristics closely resemble the catastrophic mudflow at the nearby Lajia Ruins approximately 4,000 years ago.Using high-resolution oblique photogrammetry,cone penetration testing,surface wave analysis,and horizontal-to-vertical spectral ratio methods,this study examines the stratigraphy,groundwater conditions,and geomechanical properties of the affected zone.Results indicate that saturated loess overlying impermeable mudstone formed a high-moisture mass vulnerable to seismic disturbance.Seismic resonance triggered the liquefaction of weakly structured loess,which slide along the contact interface and evolved into a runout distance mudflow.Underground water and terrain modification created a composite weak zone of saturated loess and softened mudstone,which intensified the disaster chain-from earthquake to liquefaction,flow slide,and mudflow.This study contributes to the understanding of deep-seated liquefaction-flow slide disasters,thereby advancing more effective risk mitigation strategies in the Loess Plateau and comparable loess-covered seismic regions.展开更多
Purpose-This study examines how leadership and digital capability influence supply chain agility and operational performance within railway supply chains in North America,with a focus on both direct and indirect pathw...Purpose-This study examines how leadership and digital capability influence supply chain agility and operational performance within railway supply chains in North America,with a focus on both direct and indirect pathways.Design/methodology/approach-A quantitative research design was employed using survey data collected from 214 organizations operating within railway-centered supply chain networks across Canada,the United States and Mexico.The proposed model was tested using partial least squares structural equation modeling(PLS-SEM).Findings-The results indicate that leadership plays a dual role in railway supply chain networks by directly enhancing supply chain agility and indirectly influencing agility through digital capability.Digital capability significantly improves both operational agility and performance within railway supply chain networks,while supply chain agility partially mediates the relationship between digital capability and performance.Practical implications-The findings suggest that railway organizations should align leadership,digital investments and agile operational processes to improve responsiveness,coordination and operational performance in infrastructure-intensive environments.Originality/value-This study extends existing literature by integrating leadership into capability-based models and demonstrating its direct and indirect influence on agility and performance in railway supply chains.This study highlights how performance in railway systems depends on the alignment of leadership,digital capability and agility within structurally constrained operational environments.展开更多
Chain graphs are{2K2,C3,C5}-free graphs.Balaban index and sum-Balaban index are two important topological indices.In this paper,we concentrate on the subclass of bicyclic connected chain graphs,identifying th...Chain graphs are{2K2,C3,C5}-free graphs.Balaban index and sum-Balaban index are two important topological indices.In this paper,we concentrate on the subclass of bicyclic connected chain graphs,identifying the extremal graphs that exhibit the minimum or maximum Balaban index and sum-Balaban index within this class.Moreover,we provide a systematic ordering of all bicyclic connected chain graphs according to the magnitude of their Balaban index and sum-Balaban index.展开更多
摘要The China-ASEAN Free Trade Area(CAFTA)3.0Upgrade Protocol added a section on“Supply Chain Connectivity,”which emphasizes that all parties recognize the lessons learned from the COVID-19 pandemic and cooperate to enhance the resilience of the regional supply chain.This is an inevitable trend amid the current accelerated restructuring of the global supply chain,the complex and severe international economic and trade situation,and the impact on the regional industrial chain.It also represents a fundamental shift and consensus on the logic of supply chain cooperation between China and ASEAN countries—a transformation from“Efficiency First”to“Resilience First.”
基金supported by the Anhui Provincial Natural Science Foundation (Grant No.2508085J006)CASHIPS Director's Fund (Grant No.YZJJ202207-CX)。
摘要The zigzag nitrogen chain,similar to the Ch-N structure,has long been considered as a potential high-energy-density structure.However,all the previously predicted zigzag N-chain structures,similar to Ch-N,exhibited imaginary frequencies in their phonon spectra at 0 GPa.Here,we conducted a systematic investigation of P-N compounds using first-principles calculations,uncovering a series of structurally similar stable phases,C2/m-PNx(x=6,8,10,12,and 14),in which N forms zigzag N chains similar to those in Ch-N.In P-N compounds,the longest zigzag N-chain,which can theoretically remain stable under ambient pressure,is the N-chain composed of 14 N atoms in C2/m-PN14.If the N-chain continues to grow,imaginary interchain vibrational frequencies arise in the system.Notably,N chains with an even number of atoms were more likely to be energetically favorable.The five C2/m-PNx phases and one metastable phase(R-PN6)exhibited remarkable stability and excellent detonability at ambient pressure,indicating that they are promising candidates for high-energy-density materials.In addition,R-PN6 was the first structure to stabilize the N6 ring through covalent bonding,with the covalent network contributing to its high hardness(47.59 GPa).
基金support from the National Natural Science Foundation of China(No.52000069)the Natural Science Foundation of Henan Province(No.252300421468)“Kechuang Zhongyuan”Scientific Innovation Initiative of Henan Association for Science and Technology(No.2025HYTP019)for providing financial support for this study.
摘要This study used ethanol and acetate as substrates,anaerobic digestion sludge as inoculum,and selected bamboo charcoal with three particle size conditions(<25,45–75,100–250μm)as the mediating material.While maintaining consistent electrical conductivity levels of bamboo charcoal,we investigated the effect of specific surface area on the chain elongation reactions.Experimental results demonstrated that when bamboo charcoal served as the mediating material,larger specific surface area significantly enhanced the chain elongation for the production of medium-chain fatty acids.Microbial community composition analysis via 16S rRNA sequencing demonstrated that bamboo charcoal intervention promoted the enrichment of Clostridium_sensu_stricto_12,a keystone functional microbe exhibiting statistically significant positive correlations with the yield,electron transfer efficiency,and selectivity of MCFAs.Metagenomic analysis identified the simultaneous presence of reverseβ-oxidation and fatty acid biosynthesis pathways,with reverseβ-oxidation pathway serving as the dominant route.Notably,the Candidatus_Microthrix genus exhibited dual functionality by engaging in both pathways for MCFAs production.
基金supported by the National Natural Science Foundation of China(NSFC)through the following grants:the Young Scientists Fund(Grant No.72403021,“Causal Impacts,Underlying Mechanisms,and Policy Implications of Market Access in BRI Countries on Chinese Supply Chain Relocation”)the General Program(Grant No.72273009,“Coordinated Implementation of Trade Protection Policies in Global Production Networks:Determinants,Effects,and Governance”)the Young Scientists Fund(Grant No.72103107,“Evaluation and Optimization of the Trade-Promoting Effects of Transportation Infrastructure under the Belt and Road Initiative”).
摘要Infrastructure development along the Belt and Road Initiative(BRI)corridors has progressively improved connectivity-both physical(“hard”)and institutional(“soft”)-among participating economies.This enables China to gradually build a more complex overseas supply chain system under the BRI framework.Using project-level data on transportation infrastructure projects in BRI countries from 2013 to 2018,combined with industry-level input-output tables for these economies,this study examines how improvements in market access induced by BRI transportation infrastructure affect the relocation of Chinese supply chains and identifies the underlying mechanisms.The results indicate that improved market access in BRI countries significantly facilitates the relocation of Chinese supply chains to these destinations.Mechanism analysis also shows that this effect primarily operates through China’s outward foreign direct investment(OFDI),especially in the form of non-greenfield investments and industrial projects.Moreover,heterogeneity analysis reveals that coastal countries and middle-and low-income countries are more likely to serve as destinations for relocated Chinese supply chains when market access improves.At the industry level,relocation is concentrated in sectors with low upstreamness,high transport dependence,and labor intensity.Furthermore,Chinese supply chains tend to shift toward country-industry pairs that exhibit stronger comparative advantages.These findings provide valuable insights for optimizing the global layout of Chinese supply chains and have important implications for deepening supply chain integration between China and BRI-participating countries.
基金financially supported by the Natural Science Foundation of Gansu Province,China(No.21JR7RA478).
摘要Carbon-chain rubbers have been widely used in many fields including transportation,medicine,construction,and everyday life,owing to their excellent flexibility.Now,waste rubbers have caused serious environmental pollution and resource waste.Chemical recovery is expected to provide a solution to solve these problems fundamentally.Here,the recent progress in selective chain scissions of the waste sulfur-vulcanized carbon-chain rubbers for reuse was reviewed.Based on the different devulcanization approaches,the polysulfide crosslinking chains or carbon chains were broken and the linear or branched degraded products could be obtained as structural prepolymers for new rubber products.After a comprehensive literature review on the effect of the molecular composition and topology of the devulcanized and degraded products on the new rubbers,the future perspectives were proposed.
摘要The 4th China International Supply Chain Expo(CISCE)opens June 22,specialized firms,and industry institutions from 85 countries,regions,and organizations.Austrian firm Bruker Alicona,renowned in precision manufacturing,exhibits as part of the Austrian delegation.
摘要As global industrial and supply chains are rapidly rest ructuring,China’s strength in innovation,manufacturing coordination,and industrial support increasingly attracts multinational companies.The 4th China International Supply Chain Expo(CISCE),held in Beijing from June 22 to 26,will highlight how global enterprises are deepening their integration into China’s supply chain ecosystem,underscoring China’s pivotal role.
摘要Against a backdrop of rising global trade protectionism and accelerated restructuring of international industrial and supply chains,regional institutional cooperation is becoming a key force in stabilizing cross-border trade and investment.The ASEAN region enjoys strong economic growth momentum with a distinct demographic advantage while China boasts a complete industrial system and manufacturing capacity.
摘要As the sun rises over the Johannesburg skyline,a steady stream of young South Africans files into Chinese chain stores to begin the day’s work.For Sbulele Nyati,China Mart is more than a workplace.Every box he unpacks represents school fees for his daughter and groceries he will carry home on payday.“Whenever I go to work,I open the doors to a better life for my family.I am genuinely excited to have this opportunity,”Nyati told ChinAfrica.
基金Under the auspices of the Key Projects of Philosophy and Social Sciences Research,Ministry of Education of China(No.23JZD008)National Natural Science Foundation of China(No.42171193)+2 种基金Key Project of Guangdong Provincial Philosophy and Social Sciences Planning(No.GD24ES013,GD25ZX04)2025 Guangzhou Basic and Applied Basic Research Special Project(No.2025A04J7127)Fundamental Research Funds for the Central Universities,Sun Yat-sen University(No.24wkjc11)。
摘要The shift toward specialized and large-scale agricultural production has spurred the emergence of agricultural clusters as key forces of rural vitalization and sustainable development.This paper explored the formation and evolution of Meizhou pomelo industry cluster in China,focusing on its role in restructuring rural socio-economic systems and integrating the whole value chains.Based on a case study employing qualitative methods such as in-depth interviews and participatory observation,the agricultural cluster evolution of Meizhou pomelo was categorized into three key phases of initial decentralization,self-organized scaling,and reorganized clustering.Geographical proximity and industrial agglomeration constitute the physical foundation,while vertical/horizontal linkages,technologic-al innovation,and policy support enhance competitiveness.Special mechanisms emerge through localized social networks,farmer co-operatives’activation,and cross-regional market expansion.The cluster’s impact is manifested in the shift from extensive to standard-ized and modernized production,diversified and flexible livelihood of farmers,and the integration of agriculture with industry and ser-vices.The development of the whole value chain based on agricultural cluster represents a critical pathway for achieving agricultural modernization,encompassing both internal and external value chain optimization.Through quality assurance systems,product diversi-fication strategies,operational efficiency improvements,and brand enhancement,these clusters amplify product value propositions and market competitiveness.This systemic approach facilitates supply-demand coordination,enables resource synergies,and optimizes eco-nomic returns across the horizontal and vertical value chain.This paper argues that agricultural clusters serve as strategic catalysts for sustainable rural development by reconstructing local production systems,fostering innovation ecosystems,and aligning agricultural modernization.It contributes to debates on rural vitalization by demonstrating how agricultural clustering can reconfigure rural areas as hubs of ecological modernization,rather than mere urban peripheries.
摘要Supply chain resilience and efficiency are vital in industries characterized by volatile demand and uncertain supply,such as textiles and personal protective equipment(PPE).Traditional forecasting and optimization approaches often operate in isolation,limiting their real-world effectiveness.This paper proposes a Hybrid AI Framework for Demand–Supply Forecasting and Optimization(HAF-DS),which integrates a Long Short-Term Memory(LSTM)–based demand forecasting module with a mixed-integer linear programming(MILP)optimization layer.The LSTM captures temporal and contextual demand dependencies,while the optimization layer prescribes costefficient replenishment and allocation decisions.The framework jointly minimizes forecasting error and operational cost through embedding-based feature representation and recurrent neural architectures.Experiments on textile sales and supply chain datasets show significant performance gains over statistical and deep learning baselines.On the combined dataset,HAF-DS reduced Mean Absolute Error(MAE)from15.04 to 12.83(14.7%),Root Mean Squared Error(RMSE)from 19.53 to 17.11(12.4%),and Mean Absolute Percentage Error(MAPE)from 9.5%to 8.1%.Inventory cost decreased by 5.4%,stockouts by 27.5%,and service level rose from 95.5%to 97.8%.
基金supported in part by the National Natural Science Foundation of China(62332004,72304121)part by the Sichuan Provincial Natural Science Foundation for Distinguished Young Scholars(2023NSFSC1963)。
摘要Driven by globalization and digitization,the Mobile Industrial Supply Chain Internet of Things(IoT)has gradually developed,utilizing mobile devices and IoT technologies to enable real-time monitoring and efficient responses across various stages.However,with the growing demand for high-frequency data exchange,the Mobile Industrial Supply Chain IoT faces significant challenges in data security,authentication,and privacy protection.This paper proposes a security authentication scheme based on blockchain and group key management,leveraging the decentralized and tamper-resistant features of blockchain,the privacy-preserving authentication method of Zero-Knowledge Proofs(ZKP),and a hierarchical key management mechanism based on binary key trees.This approach aims to enhance the security and scalability of Mobile Industrial Supply Chain IoT.The experimental section simulates scenarios such as dynamic node addition and key updates,evaluating the performance in terms of encryption,decryption,and key management efficiency,thus demonstrating its superiority in multi-party collaborative environments.
基金Project supported by the Science and Technology Research Project of Chongqing Municipal Education Committee(Grant No.KJQN202201140)Humanities and Social Sciences Research Project of Chongqing Municipal Education Commission(Grant No.24SKGH231)+1 种基金General Project for Research on Philosophy and Social Sciences from Ministry of Education of China(Grant No.23YJCZH124)the National Natural Science Foundation of China(Grant No.72361006)。
摘要Under the carbon trading mechanism,this study establishes a decision-making model for a low-carbon supply chain comprising a single manufacturer and a retailer.It analyzes the impact of the retailer's altruistic preferences on decision variables,profits,supply chain coordination,and the complexity of the dynamic decision-making model.The study indicates that the continuous increase in the adjustment parameters of decision variables can destabilize the supply chain system,with the adjustment parameter for wholesale price having a greater impact than the adjustment parameter for carbon emission reduction level.An increase in altruistic preferences reduces the stability region of the supply chain system,yet its influence on supply chain profits varies depending on the system's state.When the system is stable,altruistic preferences have a positive impact on overall profits;when the system is unstable,profits first increase and then decrease.Compared to decentralized decision-making,centralized decision-making yields higher profits.Based on this,we innovatively design a side-payment self-enforcing contract mechanism to effectively coordinate the supply chain and promote more efficient cooperation.After implementing this contract,the increase in retailers'altruistic preferences can expand the stability region of the supply chain system,and the impact of the carbon emission reduction level adjustment parameter on system stability is greater than that of the wholesale price adjustment parameter,which is different from the situation before the contract was implemented.
基金supported by the National Natural Science Foundation of China(Grant Nos.72171025 and 72471034)the China Postdoctoral Science Foundation(Nos.2024M752741and 2025M783718)+2 种基金the Postdoctoral Research Project of Shaanxi Province(No.2025BSHSDZZ246)the Natural Science Basic Research Program of Shaanxi Province,China(Nos.2025JC-JCQN-041and 2025JC-YBQN-1001)the Fundamental Research Funds for the Central Universities,China(No.300102235603).
摘要Prefabricated buildings are crucial for the transformation of the construction industry,while the Prefabricated Building Supply Chain Network(PBSCN)that supports their implementation is subject to uncertainties in production,transportation,and installation.These uncertainties lead to schedule delays and cost increases,which significantly hinder the widespread adoption of prefabricated buildings.To address these issues,this paper develops a three-tier optimization model that integrates component factories,logistics providers,and contractors to improve resource allocation and reduce total costs.This model explicitly accounts for uncertainty-induced delay propagation across stages and incorporates its impacts into the decision-making process through work stoppage cost at the construction site.A Scenario-Based Stochastic Programming(SBSP)approach is employed to determine optimal decisions,while Monte Carlo Simulation(MCS)is utilized to generate representative scenarios.Furthermore,the proposed model is extended to incorporate a carbon trading mechanism to examine the interaction between environmental regulation and supply chain decisions.The model's effectiveness is validated through a hypothetical case adapted from a real-world project,in which the optimal solutions involved concentrating approximately 6%of orders in the baseline case and 33.0%35.5%in the largescale experiment.Results show that proactively accounting for uncertainties not only reduced costs but also strengthened coordination among entities to improve resource utilization.This paper provides practical decision support for PBSCN stakeholders,helping them mitigate risks,optimize order allocation,and improve overall supply chain performance in an uncertain environment.
基金supported by the National Key Research and Development Program of China(2022YFB2402200)National Natural Science Foundation of China(22422902,22109028,22379028)+1 种基金Natural Science Foundation of Shanghai Municipality(22ZR1404400)Science&Technology Commission of Shanghai Municipality(24DZ3001300)。
摘要1,2-dimethoxyethane(DME)-based electrolyte is commonly employed in lithium metal batteries(LMBs)due to its excellent reductive stability and filming-forming ability,whereas the inferior oxidative stability and existing safety hazards restrict its practical application.By adopting the localized high concentration electrolytes(LHCEs)strategy,the electrochemical performance can be enhanced with the assistance of diluents such as 1,1,2,2-tetrafluoroethyl 2,2,3,3-tetrafluoropropyl ether(TTE),while the safety performance remains unsatisfactory.Herein,a molecular chain elongation strategy has been proposed to enhance the spatial steric hindrance and intermolecular forces.The obtained 1,2-diethoxyethane(DEE)solvent and 1H,1H,5H-octafluoropentyl 1,1,2,2-tetrafluoroethyl ether(OTE)diluent exhibit weak solvation ability and elevated boiling/flash points,facilitating the formation of inorganic-rich interfacial layer and enhancing the safety performance.Therefore,the Li||LiNi0.8Co0.1Mn0.1O2(NCM811)full cells with DEE-based electrolyte can achieve stable cycling for over 1400 cycles at a cutoff voltage of 4.3 V and 500 cycles at a higher voltage of 4.4 V.Moreover,the commercial pouch cell displays remarkable cycling stability for 125 cycles under stringent conditions,along with excellent thermal stability and flame retardancy.Such a molecular chain elongation strategy offers an effective avenue for designing advanced electrolytes to better satisfy the demanding requirements of high-energy and high-safety LMBs.
基金National Natural Science Foundation of China,No.42571218,No.42130508,No.42230406。
摘要The global value chain(GVC)is a central driver of the international division of labor and a critical lens for understanding global economic dynamics.This study constructs a long-term GVC network dataset using multi-regional input-output(MRIO)tables and input-output analysis techniques.By integrating advanced network analysis algorithms,this study characterizes the macrostructure and spatiotemporal evolution of the GVC network,examines its topological features,and evaluates the evolution of its structural resilience.The main findings are as follows:(1)Value flows among major economies form a hierarchical structure,and value distribution is highly uneven across space.The GVC network has expanded and densified over time,with rising value flows in East Asia,evolving from a dual-center structure centered on Europe and North America to a tri-polar structure comprising Europe,North America,and East Asia.(2)The core-periphery structure of the GVC network is pronounced,and a node’s position is determined by both the scale of its participation and the diversification of its value linkages.(3)The backbone structure of the GVC network has shifted from a single core centered on the United States to a dual-core system led by China and the United States,while Europe and Japan provide stabilizing support.Over time,the backbone structure has evolved with a trend of eastward shift and increasing globalization characteristics.(4)Overall resilience of the GVC network is limited and follows a four-stage evolutionary trajectory,with major international shocks serving as turning points.These findings elucidate the node and structural characteristics of the GVC network,contributing to a deeper understanding of global economic dynamics and the process of economic globalization.
基金supported by the National Natural Science Foundation of China(Nos.12375123 and 12247126)the Natural Science Foundation of Henan Province(No.242300421048).
摘要The fragment yields in photon-induced fission reactions of thorium(Th)isotopes are important for modern nuclear energy applications and for understanding the evolution of the nuclear structures of their isotopic chains.Bayesian neural network(BNN)models were constructed to describe the fragment yields in photonuclear fission reactions of thorium isotopes,ranging from 216Th to 232Th,especially those of 232Th,at various incident photon energies.The predicted results of the optimized BNN models were in good agreement with the measured data for these reactions.The double-layer BNN models successfully illustrated the systematic transition from asymmetric to symmetric fission in thorium isotopes,including the associated oddeven effects,energy dependence,and leftward shift in mass yield distributions.The developed BNN models provide a new tool for predicting the fragment yields in thorium photonuclear fission reactions.
基金National Natural Science Foundation of China Grant Nos.52378543,52378544 and 52408525the Natural Science Foundation of Heilongjiang Grant No.LH2024E119。
摘要On December 18,2023,a magnitude 6.2 earthquake struck Jishishan County,Gansu Province,triggering a liquefaction-induced flow slide along the loess-mudstone contact zone and causing significant casualties and property losses.The event featured low-slope,large-scale,runout distance sliding and exhibited a clear cascading disaster chain.Its characteristics closely resemble the catastrophic mudflow at the nearby Lajia Ruins approximately 4,000 years ago.Using high-resolution oblique photogrammetry,cone penetration testing,surface wave analysis,and horizontal-to-vertical spectral ratio methods,this study examines the stratigraphy,groundwater conditions,and geomechanical properties of the affected zone.Results indicate that saturated loess overlying impermeable mudstone formed a high-moisture mass vulnerable to seismic disturbance.Seismic resonance triggered the liquefaction of weakly structured loess,which slide along the contact interface and evolved into a runout distance mudflow.Underground water and terrain modification created a composite weak zone of saturated loess and softened mudstone,which intensified the disaster chain-from earthquake to liquefaction,flow slide,and mudflow.This study contributes to the understanding of deep-seated liquefaction-flow slide disasters,thereby advancing more effective risk mitigation strategies in the Loess Plateau and comparable loess-covered seismic regions.
摘要Purpose-This study examines how leadership and digital capability influence supply chain agility and operational performance within railway supply chains in North America,with a focus on both direct and indirect pathways.Design/methodology/approach-A quantitative research design was employed using survey data collected from 214 organizations operating within railway-centered supply chain networks across Canada,the United States and Mexico.The proposed model was tested using partial least squares structural equation modeling(PLS-SEM).Findings-The results indicate that leadership plays a dual role in railway supply chain networks by directly enhancing supply chain agility and indirectly influencing agility through digital capability.Digital capability significantly improves both operational agility and performance within railway supply chain networks,while supply chain agility partially mediates the relationship between digital capability and performance.Practical implications-The findings suggest that railway organizations should align leadership,digital investments and agile operational processes to improve responsiveness,coordination and operational performance in infrastructure-intensive environments.Originality/value-This study extends existing literature by integrating leadership into capability-based models and demonstrating its direct and indirect influence on agility and performance in railway supply chains.This study highlights how performance in railway systems depends on the alignment of leadership,digital capability and agility within structurally constrained operational environments.
摘要Chain graphs are{2K2,C3,C5}-free graphs.Balaban index and sum-Balaban index are two important topological indices.In this paper,we concentrate on the subclass of bicyclic connected chain graphs,identifying the extremal graphs that exhibit the minimum or maximum Balaban index and sum-Balaban index within this class.Moreover,we provide a systematic ordering of all bicyclic connected chain graphs according to the magnitude of their Balaban index and sum-Balaban index.