In order to improve the accuracy of travel demand forecast and considering the distribution of travel behaviors within time dimension, a trip chaining pattern recognition model was established based on activity purpos...In order to improve the accuracy of travel demand forecast and considering the distribution of travel behaviors within time dimension, a trip chaining pattern recognition model was established based on activity purposes by applying three methods: the support vector machine (SVM) model, the radial basis function neural network (RBFNN) model and the multinomial logit (MNL) model. The effect of explanatory factors on trip chaining behaviors and their contribution to model performace were investigated by sensitivity analysis. Results show that the SVM model has a better performance than the RBFNN model and the MNL model due to its higher overall and partial accuracy, indicating its recognition advantage under a smai sample size scenario. It is also proved that the SVM model is capable of estimating the effect of multi-category factors on trip chaining behaviors more accurately. The different contribution of explanatory, factors to trip chaining pattern recognition reflects the importance of refining trip chaining patterns ad exploring factors that are specific to each pattern. It is shown that the SVM technology in travel demand forecast modeling and analysis of explanatory variable effects is practical.展开更多
Animal husbandry is the pillar industry in some ethnic areas of China.However,the communicationetworking infrastructure in these areas is often underdeveloped,thus the difficulty in centralized management,and challeng...Animal husbandry is the pillar industry in some ethnic areas of China.However,the communicationetworking infrastructure in these areas is often underdeveloped,thus the difficulty in centralized management,and challenges for the effective monitoring.Considering the dynamics of the field monitoring environment,as well as the diversity and mobility of monitoring targets,traditional WSN(Wireless Sensor Networks)or IoT(Internet of Things)is difficult to meet the surveillance needs.Mobile surveillance that features the collaboration of various functions(camera,sensing,image recognition,etc.)deployed on mobile devices is desirable in a volatile wireless environment.This paper proposes the service function chaining for mobile surveillance of animal husbandry,which orchestrates multi-path multifunction(MPMF)chains to help mobile devices to collaborate in complex surveillance tasks,provide backup chains in case the primary service function chain fails due to mobility,signal strength,obstacle,etc.,and make up for the defects of difficult deployment of monitoring facilities in ethnic areas.MPMF algorithmmodels both mobile devices and various functions deployed on them as abstract graph nodes,so that chains that are required to traverse various functions and hosting mobile devices can be orchestrated in a single graphbased query through modified and adapted Dijkstra-like algorithms,with their cost ordered automatically.Experiment results show that the proposed MPMF algorithm finds multiple least-costly chains that traverse demanded functions in a timely fashion on Raspberry Pi-equipped mobile devices.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
Spinal cord injuries have overwhelming physical and occupational implications for patients.Moreover,the extensive and long-term medical care required for spinal cord injury significantly increases healthcare costs and...Spinal cord injuries have overwhelming physical and occupational implications for patients.Moreover,the extensive and long-term medical care required for spinal cord injury significantly increases healthcare costs and resources,adding a substantial burden to the healthcare system and patients'families.In this context,chondroitinase ABC,a bacterial enzyme isolated from Proteus vulgaris that is modified to facilitate expression and secretion in mammals,has emerged as a promising therapeutic agent.It works by degrading chondroitin sulfate proteoglycans,cleaving the glycosaminoglycanchains of chondroitin sulfate proteoglycans into soluble disaccharides or tetrasaccharides.Chondroitin sulfate proteoglycans are potent axon growth inhibitors and principal constituents of the extracellular matrix surrounding glial and neuronal cells attached to glycosaminoglycan chains.Chondroitinase ABC has been shown to play an effective role in promoting recovery from acute and chronic spinal cord injury by improving axonal regeneration and sprouting,enhancing the plasticity of perineuronal nets,inhibiting neuronal apoptosis,and modulating immune responses in various animal models.In this review,we introduce the classification and pathological mechanisms of spinal cord injury and discuss the pathophysiological role of chondroitin sulfate proteoglycans in spinal cord injury.We also highlight research advancements in spinal cord injury treatment strategies,with a focus on chondroitinase ABC,and illustrate how improvements in chondroitinase ABC stability,enzymatic activity,and delivery methods have enhanced injured spinal cord repair.Furthermore,we emphasize that combination treatment with chondroitinase ABC further enhances therapeutic efficacy.This review aimed to provide a comprehensive understanding of the current trends and future directions of chondroitinase ABC-based spinal cord injury therapies,with an emphasis on how modern technologies are accelerating the optimization of chondroitinase ABC development.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
Developing constitutive models linking chain dynamics to the macroscopic viscoelasticity and fracture of polymeric materials remains challenging.This work presents a physics-informed viscoelastic model accounting for ...Developing constitutive models linking chain dynamics to the macroscopic viscoelasticity and fracture of polymeric materials remains challenging.This work presents a physics-informed viscoelastic model accounting for the microstructural evolution of free chains.The viscous stress is decomposed into the relaxation effect arising from the transient elongation of free chains and the disentanglement effect resulting from the release of topological constraints.A deformation-dependent relaxation spectrum is introduced through a revised three-chain model to govern the evolution of free-chain relaxation times in response to macroscopic stretches,enabling the present model to address complex deformation states and loading histories.The present model is comprehensively validated against experimental data for various polymeric materials,accurately capturing their viscoelastic mechanical responses.Furthermore,the present model is incorporated into a peridynamics framework,establishing an integrated numerical method for simulating concurrent viscoelastic deformation and fracture.By establishing a physics-based link from chain dynamics to macroscopic viscoelasticity and fracture,this work provides a powerful tool for modulating the time-dependent properties of polymeric materials and offers new insights into the mechanisms governing viscoelasticity and fracture behavior.展开更多
In contrast to cyclic polymers with ring-like backbones,side-chain cyclization is another intriguing structural feature that has not been extensively studied.In this study,a library of orthogonally protected monomers ...In contrast to cyclic polymers with ring-like backbones,side-chain cyclization is another intriguing structural feature that has not been extensively studied.In this study,a library of orthogonally protected monomers featuring monocyclic,dicyclic,or tricyclic pendant motifs was designed and prepared based on malic acid derivatives.Polyesters with precise chemical structures and uniform chain lengths were prepared modularly through iterative growth.Meticulous control over the chemical details allows for a close investigation of the topological effects on the polymer properties.Compared to their linear side chain counterparts,the presence of cyclic pendant groups has a significant impact on chain conformation,leading to a reduction in hydrodynamic volume and an enhancement in the glass transition temperature.These results underscore the potential of tailoring polymer properties through rational engineering of side chain topology.展开更多
Internal corrosion is a major threat to the safety of natural gas pipelines,with defect geometry—depth,length,and width—playing a critical role in structural integrity assessments.While corrosion depth prediction ha...Internal corrosion is a major threat to the safety of natural gas pipelines,with defect geometry—depth,length,and width—playing a critical role in structural integrity assessments.While corrosion depth prediction has been widely studied,systematic probabilistic modeling of defect length and width remains limited.This study develops a hierarchical Bayesian-Markov Chain Monte Carlo(HB-MCMC)framework to jointly predict corrosion defect dimensions from in-line inspection(ILI)data.The framework integrates non-centered parameterization and adaptive sampling to improve inference efficiency and employs a hierarchical dynamic thresholding procedure for robust data preprocessing and outlier filtering.Field data from two transmission pipelines in Southwest China,comprising 1845 defect records,are analyzed.Results demonstrate that defect length and width both increase with depth,with width exhibiting stronger sensitivity.Model diagnostics confirm convergence and reliable uncertainty quantification.To further explore underlying mechanisms,OLGA multiphase flow simulations are combined with statistical predictions,providing flow-parameter profiles along the pipelines and enabling correlation analysis between local hydrodynamics and defect geometry.The proposed framework not only enhances predictive capability for defect length and width but also provides new insights into flow-corrosion interactions under real operating conditions,offering a reproducible and data-driven tool for corrosion assessment.展开更多
High temperature(HT)is a critical abiotic stress factor that negatively impacts yield and quality of maize worldwide.Although the effects of HT during key growth stages are extensively documented,the distinct influenc...High temperature(HT)is a critical abiotic stress factor that negatively impacts yield and quality of maize worldwide.Although the effects of HT during key growth stages are extensively documented,the distinct influences of daytime versus nighttime HT on the physicochemical properties of waxy maize starch remain largely unexplored.This study investigated the effects of daytime and nighttime HT on the on the starch physicochemical properties in two waxy maize hybirds.Temperature treatments included ambient temperature(NN),daytime HT(DH),nighttime HT(NH),and whole-day HT(DNH),which were applied from 1 to 15 days after pollination.The three HT stresses significantly inhibited starch synthesis and accumulation,increased the number of pores on the starch granule surface,enlarged starch granule size,enhanced relative crystallinity,and shortened the chain length and reduced the branching degree of amylopectin.The most severe effects were observed under DNH,followed by DH.DH and DNH reduced starch pasting viscosity and gelatinization enthalpy while increasing starch retrogradation through mechanisms involving enlargement of granule size,increased relative crystallinity,and reduced branching and chain length of amylopectin.NH increased gelatinization enthalpy and retrogradation and decreased starch pasting viscosity primarily by shortening the chain length of amylopectin.By elucidating the mechanisms through which daytime and nighttime HT affect starch physicochemical properties,this study provides valuable insights into optimizing waxy maize production in response to climate change challenges.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
Ossiculoplasty remains a challenging surgical procedure,with outcomes heavily influenced by diverse anatomical and pathological factors.Over the decades,numerous scoring systems have been developed to predict the prog...Ossiculoplasty remains a challenging surgical procedure,with outcomes heavily influenced by diverse anatomical and pathological factors.Over the decades,numerous scoring systems have been developed to predict the prognosis of ossiculoplasty,each emphasizing different variables such as ossicular status,middle ear environment,and surgical history.This paper provides a comprehensive review of the evolution of prognostic scoring systems,including Austin's original ossicular classification,Bellucci's otorrhea staging,the Middle Ear Risk Index(MERI),the Ossiculoplasty Outcome Parameter Staging(OOPS),and the recently introduced Ear Environment Risk(EER)scale.While these systems have significantly contributed to preoperative assessment,each presents notable limitations in encompassing all variables affecting surgical success.Therefore,the aim of this paper is to provide a review of the ossiculoplasty prognostic scores and show the benefits,innovations and gaps associated with each.To address these gaps,a novel,modified scoring system is proposed,incorporating previously overlooked but clinically significant factors such as tympanic membrane status,type of tympanoplasty,ossicular replacement material,CT scan findings,and the presence of complicated ear conditions.By synthesizing elements from historical scores with updated clinical insights,the proposed system aims to provide a more holistic and predictive framework for preoperative evaluation.Future multicenter studies are encouraged to validate the efficacy and prognostic power of this new scoring system,with the goal of improving surgical planning and patient counseling in ossiculoplasty.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
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
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
Iran's position in the Gulf energy system makes the recent military confrontation involving the United States,Israel,and Iran highly consequential for global energy markets.This commentary examines the conflict...Iran's position in the Gulf energy system makes the recent military confrontation involving the United States,Israel,and Iran highly consequential for global energy markets.This commentary examines the conflict's short-term disruptions and longer-term implications for the global energy system.It argues that,although the crisis was not triggered by direct competition over energy resources,Iran's central role in Gulf energy transport gives the crisis significant consequences for global energy security.In the short term,disruptions in the Strait of Hormuz may reduce logistical efficiency,raise shipping and insurance costs,delay deliveries,and heighten price volatility.Over the longer term,the crisis may accelerate the securitization of supply chains,deepen the geopolitical stratification of energy trade,and shift energy governance toward more alliance-based coordination.Policy responses should therefore prioritize chokepoint security,resilience-oriented energy transition,and more inclusive mechanisms for emergency coordination.展开更多
BACKGROUND Discriminating between gastrointestinal tuberculosis(GITB)and Crohn’s disease is a perplexing challenge for clinicians.The clinical presentation,endoscopic appearances,radiographic features,and histologica...BACKGROUND Discriminating between gastrointestinal tuberculosis(GITB)and Crohn’s disease is a perplexing challenge for clinicians.The clinical presentation,endoscopic appearances,radiographic features,and histological findings of these two granulomatous disorders are similar.AIM To study the diagnostic accuracy of Xpert MTB/RIF Ultra(Xpert Ultra)and True-Nat MTB plus assay(TrueNat Plus)in the diagnosis of GITB diagnosis.METHODS We prospectively included patients suspected to have GITB who underwent colonoscopy and had endoscopic findings consistent with tuberculosis,such as ulcers,ulcerated strictures,and ulcero-polypoidal lesions.Xpert Ultra and True-Nat Plus assays were performed using standard protocols from intestinal tissue to assess the comparative performance of the two assays(Xpert Ultra and TrueNAT Plus)in diagnosing GITB compared with a composite reference standard(CRS).The CRS included a combination of clinical symptoms,tissue acid-fast bacilli smear/culture,imaging findings,histopathology,and response to therapy to diagnose GITB.RESULTS Of the 38 patients with complete follow-up,26 had GITB,and 12 served as controls(n=10 Crohn’s disease cases,n=2 alternate diagnosis).GITB cases included three acid-fast bacilli culture-positive patients,four with granulomas,17 with Xpert Ultra positivity and 15 with TrueNat plus positivity.Compared with the CRS,the overall sensitivity and specificity of Xpert Ultra for the diagnosis of GITB was 65.38%[95%confidence interval(CI):44.33-82.79]and 83.33%(95%CI:51.59-97.91),respectively.TrueNat plus had a sensitivity of 57.69%(95%CI:36.92-76.65)and specificity of 50%(95%CI:21.09-78.91).CONCLUSION TrueNat plus has a lower sensitivity and specificity compared with Xpert Ultra.However,the improved sensitivity of these tests compared with standard tests comes at the cost of reduced specificity.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
The cold chain environment is an important route for the long⁃distance transmission of pathogenic micro⁃organisms.In this study,we explored the mechanisms of secondary propagation through surface contact on cold surfa...The cold chain environment is an important route for the long⁃distance transmission of pathogenic micro⁃organisms.In this study,we explored the mechanisms of secondary propagation through surface contact on cold surfaces.A quantitative statistical experimental method was adopted to study the surface⁃contact transmission of micro⁃organisms,wherein the transfer rate of surface contact was the dependent variable and Escherichia coli was used as the indicator bacterium.The effects of contact pressure(0.44,0.86,1.55,2.25,and 2.94 N/cm2),contact time(0,15,30,45,and 60 s),contact angle(15°and 25°),and surface materials(rubber and cotton gloves)were measured at two storage temperatures:cold storage(5℃)and freezing(-18℃).The results showed that as temperature decreases,the transfer of micro⁃organisms through surface contact becomes less probable.The contact time did not significantly influence the transfer rate of micro⁃organisms when items were handled at cold⁃storage temperatures.Based on these results,we recommend placing items as flat as possible to minimize the tilt angle when handling them at cold⁃storage temperatures.Additionally,if the tilt angle cannot be avoided,rubber gloves should be used when handling items stored at large tilt angles,whereas cotton gloves may be used for items placed at smaller angles.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
基金The Fundamental Research Funds for the Central Universities,the Scientific Innovation Research of College Graduates in Jiangsu Province(No.KYLX_0177)
摘要In order to improve the accuracy of travel demand forecast and considering the distribution of travel behaviors within time dimension, a trip chaining pattern recognition model was established based on activity purposes by applying three methods: the support vector machine (SVM) model, the radial basis function neural network (RBFNN) model and the multinomial logit (MNL) model. The effect of explanatory factors on trip chaining behaviors and their contribution to model performace were investigated by sensitivity analysis. Results show that the SVM model has a better performance than the RBFNN model and the MNL model due to its higher overall and partial accuracy, indicating its recognition advantage under a smai sample size scenario. It is also proved that the SVM model is capable of estimating the effect of multi-category factors on trip chaining behaviors more accurately. The different contribution of explanatory, factors to trip chaining pattern recognition reflects the importance of refining trip chaining patterns ad exploring factors that are specific to each pattern. It is shown that the SVM technology in travel demand forecast modeling and analysis of explanatory variable effects is practical.
基金This research was partially supported by the National Key Research and Development Program of China(2018YFC1507005)China Postdoctoral Science Foundation(2018M643448)+1 种基金Sichuan Science and Technology Program(2020YFG0189)Fundamental Research Funds for the Central Universities,Southwest Minzu University(2020NQN18).
摘要Animal husbandry is the pillar industry in some ethnic areas of China.However,the communicationetworking infrastructure in these areas is often underdeveloped,thus the difficulty in centralized management,and challenges for the effective monitoring.Considering the dynamics of the field monitoring environment,as well as the diversity and mobility of monitoring targets,traditional WSN(Wireless Sensor Networks)or IoT(Internet of Things)is difficult to meet the surveillance needs.Mobile surveillance that features the collaboration of various functions(camera,sensing,image recognition,etc.)deployed on mobile devices is desirable in a volatile wireless environment.This paper proposes the service function chaining for mobile surveillance of animal husbandry,which orchestrates multi-path multifunction(MPMF)chains to help mobile devices to collaborate in complex surveillance tasks,provide backup chains in case the primary service function chain fails due to mobility,signal strength,obstacle,etc.,and make up for the defects of difficult deployment of monitoring facilities in ethnic areas.MPMF algorithmmodels both mobile devices and various functions deployed on them as abstract graph nodes,so that chains that are required to traverse various functions and hosting mobile devices can be orchestrated in a single graphbased query through modified and adapted Dijkstra-like algorithms,with their cost ordered automatically.Experiment results show that the proposed MPMF algorithm finds multiple least-costly chains that traverse demanded functions in a timely fashion on Raspberry Pi-equipped mobile devices.
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)
摘要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 by the National Natural Science Foundation of China,No.82002645China Postdoctoral Science Foundation,No.2022M722321Jiangsu Funding Program for Excellent Postdoctoral Talent,No.2022ZB552(all to YH)。
摘要Spinal cord injuries have overwhelming physical and occupational implications for patients.Moreover,the extensive and long-term medical care required for spinal cord injury significantly increases healthcare costs and resources,adding a substantial burden to the healthcare system and patients'families.In this context,chondroitinase ABC,a bacterial enzyme isolated from Proteus vulgaris that is modified to facilitate expression and secretion in mammals,has emerged as a promising therapeutic agent.It works by degrading chondroitin sulfate proteoglycans,cleaving the glycosaminoglycanchains of chondroitin sulfate proteoglycans into soluble disaccharides or tetrasaccharides.Chondroitin sulfate proteoglycans are potent axon growth inhibitors and principal constituents of the extracellular matrix surrounding glial and neuronal cells attached to glycosaminoglycan chains.Chondroitinase ABC has been shown to play an effective role in promoting recovery from acute and chronic spinal cord injury by improving axonal regeneration and sprouting,enhancing the plasticity of perineuronal nets,inhibiting neuronal apoptosis,and modulating immune responses in various animal models.In this review,we introduce the classification and pathological mechanisms of spinal cord injury and discuss the pathophysiological role of chondroitin sulfate proteoglycans in spinal cord injury.We also highlight research advancements in spinal cord injury treatment strategies,with a focus on chondroitinase ABC,and illustrate how improvements in chondroitinase ABC stability,enzymatic activity,and delivery methods have enhanced injured spinal cord repair.Furthermore,we emphasize that combination treatment with chondroitinase ABC further enhances therapeutic efficacy.This review aimed to provide a comprehensive understanding of the current trends and future directions of chondroitinase ABC-based spinal cord injury therapies,with an emphasis on how modern technologies are accelerating the optimization of chondroitinase ABC development.
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.
基金financially supported by the National Natural Science Foundation of China(Grant No.12572121).
摘要Developing constitutive models linking chain dynamics to the macroscopic viscoelasticity and fracture of polymeric materials remains challenging.This work presents a physics-informed viscoelastic model accounting for the microstructural evolution of free chains.The viscous stress is decomposed into the relaxation effect arising from the transient elongation of free chains and the disentanglement effect resulting from the release of topological constraints.A deformation-dependent relaxation spectrum is introduced through a revised three-chain model to govern the evolution of free-chain relaxation times in response to macroscopic stretches,enabling the present model to address complex deformation states and loading histories.The present model is comprehensively validated against experimental data for various polymeric materials,accurately capturing their viscoelastic mechanical responses.Furthermore,the present model is incorporated into a peridynamics framework,establishing an integrated numerical method for simulating concurrent viscoelastic deformation and fracture.By establishing a physics-based link from chain dynamics to macroscopic viscoelasticity and fracture,this work provides a powerful tool for modulating the time-dependent properties of polymeric materials and offers new insights into the mechanisms governing viscoelasticity and fracture behavior.
基金financially supported by the National Natural Science Foundation of China(No.22273026)Scientific Research Innovation Capability Support Project for Young Faculty(No.ZYGXQNJSKYCXNLZCXM-I15)+3 种基金Basic and Applied Basic Research Foundation of Guangdong Province(2024A1515012401)GJYC program of Guangzhou(No.2024D03J0002)the China Postdoctoral Science Foundation(No.2024M750938)Postdoctoral Fellowship Program of CPSF(No.GZC20240492)for their financial support。
摘要In contrast to cyclic polymers with ring-like backbones,side-chain cyclization is another intriguing structural feature that has not been extensively studied.In this study,a library of orthogonally protected monomers featuring monocyclic,dicyclic,or tricyclic pendant motifs was designed and prepared based on malic acid derivatives.Polyesters with precise chemical structures and uniform chain lengths were prepared modularly through iterative growth.Meticulous control over the chemical details allows for a close investigation of the topological effects on the polymer properties.Compared to their linear side chain counterparts,the presence of cyclic pendant groups has a significant impact on chain conformation,leading to a reduction in hydrodynamic volume and an enhancement in the glass transition temperature.These results underscore the potential of tailoring polymer properties through rational engineering of side chain topology.
基金supported by the National Natural Science Foundation of China(52174062)Sichuan Youth Fund Project(2025ZNSFSC1366)China Postdoctoral Science Foundation(2025M772957).
摘要Internal corrosion is a major threat to the safety of natural gas pipelines,with defect geometry—depth,length,and width—playing a critical role in structural integrity assessments.While corrosion depth prediction has been widely studied,systematic probabilistic modeling of defect length and width remains limited.This study develops a hierarchical Bayesian-Markov Chain Monte Carlo(HB-MCMC)framework to jointly predict corrosion defect dimensions from in-line inspection(ILI)data.The framework integrates non-centered parameterization and adaptive sampling to improve inference efficiency and employs a hierarchical dynamic thresholding procedure for robust data preprocessing and outlier filtering.Field data from two transmission pipelines in Southwest China,comprising 1845 defect records,are analyzed.Results demonstrate that defect length and width both increase with depth,with width exhibiting stronger sensitivity.Model diagnostics confirm convergence and reliable uncertainty quantification.To further explore underlying mechanisms,OLGA multiphase flow simulations are combined with statistical predictions,providing flow-parameter profiles along the pipelines and enabling correlation analysis between local hydrodynamics and defect geometry.The proposed framework not only enhances predictive capability for defect length and width but also provides new insights into flow-corrosion interactions under real operating conditions,offering a reproducible and data-driven tool for corrosion assessment.
基金supported by the National Natural Science Foundation of China(32071958,31771709,and 32372222)the Priority Academic Program Development of Jiangsu Higher Education Institutions,China。
摘要High temperature(HT)is a critical abiotic stress factor that negatively impacts yield and quality of maize worldwide.Although the effects of HT during key growth stages are extensively documented,the distinct influences of daytime versus nighttime HT on the physicochemical properties of waxy maize starch remain largely unexplored.This study investigated the effects of daytime and nighttime HT on the on the starch physicochemical properties in two waxy maize hybirds.Temperature treatments included ambient temperature(NN),daytime HT(DH),nighttime HT(NH),and whole-day HT(DNH),which were applied from 1 to 15 days after pollination.The three HT stresses significantly inhibited starch synthesis and accumulation,increased the number of pores on the starch granule surface,enlarged starch granule size,enhanced relative crystallinity,and shortened the chain length and reduced the branching degree of amylopectin.The most severe effects were observed under DNH,followed by DH.DH and DNH reduced starch pasting viscosity and gelatinization enthalpy while increasing starch retrogradation through mechanisms involving enlargement of granule size,increased relative crystallinity,and reduced branching and chain length of amylopectin.NH increased gelatinization enthalpy and retrogradation and decreased starch pasting viscosity primarily by shortening the chain length of amylopectin.By elucidating the mechanisms through which daytime and nighttime HT affect starch physicochemical properties,this study provides valuable insights into optimizing waxy maize production in response to climate change challenges.
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.
摘要Ossiculoplasty remains a challenging surgical procedure,with outcomes heavily influenced by diverse anatomical and pathological factors.Over the decades,numerous scoring systems have been developed to predict the prognosis of ossiculoplasty,each emphasizing different variables such as ossicular status,middle ear environment,and surgical history.This paper provides a comprehensive review of the evolution of prognostic scoring systems,including Austin's original ossicular classification,Bellucci's otorrhea staging,the Middle Ear Risk Index(MERI),the Ossiculoplasty Outcome Parameter Staging(OOPS),and the recently introduced Ear Environment Risk(EER)scale.While these systems have significantly contributed to preoperative assessment,each presents notable limitations in encompassing all variables affecting surgical success.Therefore,the aim of this paper is to provide a review of the ossiculoplasty prognostic scores and show the benefits,innovations and gaps associated with each.To address these gaps,a novel,modified scoring system is proposed,incorporating previously overlooked but clinically significant factors such as tympanic membrane status,type of tympanoplasty,ossicular replacement material,CT scan findings,and the presence of complicated ear conditions.By synthesizing elements from historical scores with updated clinical insights,the proposed system aims to provide a more holistic and predictive framework for preoperative evaluation.Future multicenter studies are encouraged to validate the efficacy and prognostic power of this new scoring system,with the goal of improving surgical planning and patient counseling in ossiculoplasty.
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 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supported by National Natural Science Foundation of China(No.72274213)Beijing Philosophy and Social Science Foundation(No.24DTR039)Major Program of National Social Science Foundation of China(No.25&ZD140)。
摘要Iran's position in the Gulf energy system makes the recent military confrontation involving the United States,Israel,and Iran highly consequential for global energy markets.This commentary examines the conflict's short-term disruptions and longer-term implications for the global energy system.It argues that,although the crisis was not triggered by direct competition over energy resources,Iran's central role in Gulf energy transport gives the crisis significant consequences for global energy security.In the short term,disruptions in the Strait of Hormuz may reduce logistical efficiency,raise shipping and insurance costs,delay deliveries,and heighten price volatility.Over the longer term,the crisis may accelerate the securitization of supply chains,deepen the geopolitical stratification of energy trade,and shift energy governance toward more alliance-based coordination.Policy responses should therefore prioritize chokepoint security,resilience-oriented energy transition,and more inclusive mechanisms for emergency coordination.
基金the Ethics Committee of Postgraduate Institute of Medical Education and Research,No.PGI/IEC/2021/000646.
摘要BACKGROUND Discriminating between gastrointestinal tuberculosis(GITB)and Crohn’s disease is a perplexing challenge for clinicians.The clinical presentation,endoscopic appearances,radiographic features,and histological findings of these two granulomatous disorders are similar.AIM To study the diagnostic accuracy of Xpert MTB/RIF Ultra(Xpert Ultra)and True-Nat MTB plus assay(TrueNat Plus)in the diagnosis of GITB diagnosis.METHODS We prospectively included patients suspected to have GITB who underwent colonoscopy and had endoscopic findings consistent with tuberculosis,such as ulcers,ulcerated strictures,and ulcero-polypoidal lesions.Xpert Ultra and True-Nat Plus assays were performed using standard protocols from intestinal tissue to assess the comparative performance of the two assays(Xpert Ultra and TrueNAT Plus)in diagnosing GITB compared with a composite reference standard(CRS).The CRS included a combination of clinical symptoms,tissue acid-fast bacilli smear/culture,imaging findings,histopathology,and response to therapy to diagnose GITB.RESULTS Of the 38 patients with complete follow-up,26 had GITB,and 12 served as controls(n=10 Crohn’s disease cases,n=2 alternate diagnosis).GITB cases included three acid-fast bacilli culture-positive patients,four with granulomas,17 with Xpert Ultra positivity and 15 with TrueNat plus positivity.Compared with the CRS,the overall sensitivity and specificity of Xpert Ultra for the diagnosis of GITB was 65.38%[95%confidence interval(CI):44.33-82.79]and 83.33%(95%CI:51.59-97.91),respectively.TrueNat plus had a sensitivity of 57.69%(95%CI:36.92-76.65)and specificity of 50%(95%CI:21.09-78.91).CONCLUSION TrueNat plus has a lower sensitivity and specificity compared with Xpert Ultra.However,the improved sensitivity of these tests compared with standard tests comes at the cost of reduced specificity.
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National Natural Science Foundation of China(Grant No.52278121).
摘要The cold chain environment is an important route for the long⁃distance transmission of pathogenic micro⁃organisms.In this study,we explored the mechanisms of secondary propagation through surface contact on cold surfaces.A quantitative statistical experimental method was adopted to study the surface⁃contact transmission of micro⁃organisms,wherein the transfer rate of surface contact was the dependent variable and Escherichia coli was used as the indicator bacterium.The effects of contact pressure(0.44,0.86,1.55,2.25,and 2.94 N/cm2),contact time(0,15,30,45,and 60 s),contact angle(15°and 25°),and surface materials(rubber and cotton gloves)were measured at two storage temperatures:cold storage(5℃)and freezing(-18℃).The results showed that as temperature decreases,the transfer of micro⁃organisms through surface contact becomes less probable.The contact time did not significantly influence the transfer rate of micro⁃organisms when items were handled at cold⁃storage temperatures.Based on these results,we recommend placing items as flat as possible to minimize the tilt angle when handling them at cold⁃storage temperatures.Additionally,if the tilt angle cannot be avoided,rubber gloves should be used when handling items stored at large tilt angles,whereas cotton gloves may be used for items placed at smaller angles.
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.