The Chinese word韧性(rènxìng,resilience),which resonated deeply with the public in2025,ranked No.1 on the annual list of top10 Chinese buzzwords recently unveiled by Shanghai-based language and literature ma...The Chinese word韧性(rènxìng,resilience),which resonated deeply with the public in2025,ranked No.1 on the annual list of top10 Chinese buzzwords recently unveiled by Shanghai-based language and literature magazine Yaowen Jiaozi.Originating from the concept of being“pliant yet solid”,it embodies an unyielding spirit.In economics,resilience denotes the capacity to withstand,absorb,and recover from external shocks.展开更多
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
This study presents a hybrid methodology for predicting building collapses within the Intelligent Circular Resilience(ICR)framework.This uses a supervised Machine Learning(ML)approach,earthquake damage re-ports,and th...This study presents a hybrid methodology for predicting building collapses within the Intelligent Circular Resilience(ICR)framework.This uses a supervised Machine Learning(ML)approach,earthquake damage re-ports,and the Simplified Resilience Index(SRI),derived from existing earthquake damage models(EDM)-based on fragility and vulnerability functions-used in the probabilistic seismic risk assessment(PSRA).A curated building damage database comprising 89 structures(71 collapsed and 18 non-collapsed)from ten countries affected by major earthquakes(Mw 6.1-8.1,epicentral distances of 3-125 km,and PGA values ranging from 0.14 g to 0.82 g)was developed,including attributes related to exposure:occupancy,main structural material,number of stories,construction year,and hazard:magnitude,epicentral distance,intensity measures(Peak-ground acceleration,PGA,and elastic spectral acceleration).The dataset includes events such as the 2017 Puebla-Morelos earthquake(Mw 7.1,Mexico),the 1999 Kocaeli earthquake(Mw 7.6,Turkey),and the 2011 Christchurch earthquake(Mw 6.1,New Zealand),among others.Likewise,dependent attributes such as time elapsed and SRI(under 120-,180-,and 365-day recovery scenarios)were calculated using 2-EDMs.Eight Random Forest models were trained and tested for collapse and non-collapse classification using combinations of independent and dependent attributes.The results indicate that models incorporating exposure-related varia-bles-such as structural material,number of stories,construction year,and occupancy-alongside the SRI significantly improve collapse classification performance,achieving recall and F1 scores above 95%.Notably,many collapsed buildings exhibited low intensities(PGA≤0.25 g),emphasizing the influence of local site effects-particularly in Mexico City.The findings demonstrate that incorporating SRI enhances the reliability of collapse prediction and supports its use as an interpretable resilience proxy during early ICR stages.This hybrid methodology bridges empirical data,traditional PSRA models,and ML techniques,contributing to more accurate and scalable post-earthquake resilience assessments.展开更多
Resilience plays a crucial role in maintaining desirable ecosystem states and is a key objective of sustainable ecosystem management.This study synthesizes the concepts and measurement approaches of terrestrial ecosys...Resilience plays a crucial role in maintaining desirable ecosystem states and is a key objective of sustainable ecosystem management.This study synthesizes the concepts and measurement approaches of terrestrial ecosystem resilience and expounded on its spatio-temporal changes and influencing factors based on the literature over the past 50 years.Arid regions exhibited the lowest levels of spatial resilience,and the global ecosystem resilience showed a downward trend.In the focal regions,ecological resilience in Amazonian and Southeast Asian rainforest regions declined primarily driven by human activities such as deforestation and cropland expansion.Precipitation and temperature exerted bidirectional influences the resilience of ecosystems,indicating that ecosystem responses to climatic factors were non-monotonic.Evidence concerning anthropogenic factors such as land management and deforestation on ecosystem resilience were predominantly negative.Overall,this study provides a comprehensive synthesis of large scale terrestrial ecosystem resilience assessments,offering valuable insights for ecosystem protection and restoration policy development.展开更多
On October 28,2025,China and ASEAN signed the China-ASEAN Free Trade Area(CAFTA)3.0 Upgrade Protocol in Kuala Lumpur,Malaysia,in the presence of Chinese Premier Li Qiang,Malaysian Prime Minister Anwar Ibrahim,and lead...On October 28,2025,China and ASEAN signed the China-ASEAN Free Trade Area(CAFTA)3.0 Upgrade Protocol in Kuala Lumpur,Malaysia,in the presence of Chinese Premier Li Qiang,Malaysian Prime Minister Anwar Ibrahim,and leaders of other ASEAN member states.A close look at the protocol shows that the upgraded agreement marks substantive advances on several fronts.展开更多
Enhancing the resilience of critical infrastructure(CI)systems has become a focal point of national and inter-national policies.However,the formulation of resilience enhancement strategies often requires component-(i....Enhancing the resilience of critical infrastructure(CI)systems has become a focal point of national and inter-national policies.However,the formulation of resilience enhancement strategies often requires component-(i.e.asset-)level prioritization,which entails many complexities.Acknowledging the complex and interdependent nature of infrastructure systems,this paper aims to aid researchers,practitioners and policy-makers by pre-senting a review of the relative literature and current state-of-the-art,and by identifying future research op-portunities to improve the applicability and operationalizability of CI component identification and prioritization methods.Theoretical and practical applications are reviewed for definitions,analysis and modelling approaches regarding the resilience of interdependent infrastructure systems.A detailed review of infrastructure criticality definitions,component criticality assessment and prioritization frameworks,from scientific,policy and other documents,is presented.A discussion on social justice and equity dimensions therein is included,which have the potential to greatly influence decisions and should always be incorporated in infrastructure planning and in-vestment discussions.The findings of this review are discussed in terms of applicability and operationalizability.Key recommendations for future research include:(i)developing quantification frameworks for CI component criticality based on formal definitions and multiple criteria,(ii)incorporating the entire resilience cycle of CI in component prioritization,(iii)accounting for the socio-technical nature of CI systems by integrating social di-mensions and their wider operating environment and(iv)developing comprehensive model validation,cali-bration and uncertainty analysis frameworks.展开更多
China’s economy demonstrated remarkable resilience in 2025,with its GDP exceeding RMB 140 trillion for the first time and achieving a five percent year-on-year growth.This performance marked the successful conclusion...China’s economy demonstrated remarkable resilience in 2025,with its GDP exceeding RMB 140 trillion for the first time and achieving a five percent year-on-year growth.This performance marked the successful conclusion of the 14th Five-Year Plan(2021-2025),during which the country’s economy achieved“four consecutive leaps,”expanding from RMB 110 trillion to 120 trillion,then to 130 trillion,and finally to 140 trillion.展开更多
Purpose-This study explores how managerial leadership and organizational innovation interact to enhance resilience and risk management in railway supply chains and how these capabilities contribute to sustained compet...Purpose-This study explores how managerial leadership and organizational innovation interact to enhance resilience and risk management in railway supply chains and how these capabilities contribute to sustained competitive advantage.It emphasizes the strategic importance of resilience in railway systems that face operational complexity,regulatory pressures and increasing exposure to systemic risks.Design/methodology/approach-A mixed-methods design was employed,integrating survey data from 186 railway organizations with six case studies involving railway operators,rolling stock manufacturers and supply chain partners across multiple regions.Constructs were measured using validated scales and hypothesized relationships were tested using Structural Equation Modeling(SEM).Case study interviews were analyzed thematically to provide contextual understanding of leadership practices and innovation strategies.Findings-The results confirm that transformational managerial leadership significantly predicts innovation adoption,which in turn strengthens resilience and risk management capabilities.Resilience emerged as a powerful driver of competitive advantage,reinforcing its role as a strategic capability rather than a reactive response to disruptions.Furthermore,innovation was shown to partially mediate the relationship between leadership and resilience,highlighting its function as the operational channel through which vision translates into capability.Originality/value-This study contributes to the literature by integrating the Resource-Based View(RBV)and Dynamic Capabilities(DC)framework into the context of railway supply chains.It is among the first to empirically validate the mediating role of innovation between leadership and resilience,offering both theoretical advancements and actionable strategies for building resilient and competitive railway systems.展开更多
The energy transition inspired by carbon neutrality targets and the increasing threat of extreme events raise multi-objective development requirements for power systems.This paper proposes a multi-objective resource a...The energy transition inspired by carbon neutrality targets and the increasing threat of extreme events raise multi-objective development requirements for power systems.This paper proposes a multi-objective resource allocation model to determine the type,number and location of flexible resources to increase the values of resilience,carbon reduction and renewable energy consumption.To evaluate the values of resilience,a restoration model for transmission systems is established that considers the coordination of fossil-fuel generators,energy storage systems(ESSs)and renewable energy generators in building restoration paths.The collaborative power-carbon-tradable green certificate(TGC)market model is then applied to evaluate the resource values in terms of carbon reduction and renewable energy consumption.Finally,the model is formulated as a mixed-integer linear programming(MILP)with a nonconvex feasible domain,and the normalized normal constraint(NNC)method is applied to obtain approximate Pareto frontiers for decision makers.Case studies validate the effectiveness of the proposed model in improving multi-factor values and analyze the impact of resource regulation capacity on values of restoration and carbon reduction.展开更多
Background:Self-esteem,life satisfaction,resilience,and coping strategies are closely linked to depression;however,their interrelationships and relative contributions to depressive outcomes remain insufficiently under...Background:Self-esteem,life satisfaction,resilience,and coping strategies are closely linked to depression;however,their interrelationships and relative contributions to depressive outcomes remain insufficiently understood.This study aimed to examine these associations in individuals with major depressive disorder(MDD)and healthy controls and to evaluate their predictive and mediating roles in depression.Methods:This analytical cross-sectional study included 311 participants(158 patients with MDD and 153 healthy controls)recruited from the Psychiatry Outpatient Clinics of Mugla Training and Research Hospital.Psychiatric diagnoses were confirmed using the Structured Clinical Interview for DSM-5(SCID-5).Groups were balanced for age,sex,and education using propensity score matching(PSM).Participants completed the Rosenberg Self-Esteem Scale,Satisfaction with Life Scale,Brief Resilience Scale,Brief COPE Inventory,and Beck Depression Inventory.Results:Compared with healthy controls,individuals with MDD reported significantly lower life satisfaction and resilience and higher depressive symptom severity,whereas self-esteem did not differ significantly between groups.Emotion-focused coping decreased with increasing depression severity,while avoidant coping showed a modest but significant increase in severe depression.Logistic regression analyses identified life satisfaction(OR=0.95,p=0.004)and resilience(OR=0.92,p=0.002)as significant protective predictors of depression.Mediation analyses demonstrated that life satisfaction partially mediated the relationship between self-esteem and depression,whereas resilience exerted a predominantly direct effect.Conclusion:Life satisfaction and resilience emerge as key protective factors against depression.Self-esteem appears to influence depressive outcomes indirectly through life satisfaction rather than through a direct effect.These findings underscore the importance of interventions that enhance resilience and promote positive evaluations of life in individuals at risk for depression.展开更多
Seismic resilience(SR)has emerged as a critical focus in earthquake engineering to evaluate the ability of structures to endure,recover from,and adapt to seismic events.This study presents an entropy-based multicriter...Seismic resilience(SR)has emerged as a critical focus in earthquake engineering to evaluate the ability of structures to endure,recover from,and adapt to seismic events.This study presents an entropy-based multicriteria approach for selecting optimal intensity measures(IMs)to assess SR of structures.Eight representative IMs,derived from time histories and response spectrum are evaluated.Incremental dynamic analysis is con-ducted on a reinforced concrete structure,using engineering demand parameters such as the maximum interstory drift and floor acceleration to generate fragility curves via a probabilistic seismic demand model.The optimal IMs are identified through a multi-criteria decision-making process,with scores calculated using the entropy weight method to incorporate factors such as efficiency,proficiency,and uncertainty based on infor-mation entropy.An effective SR framework is derived from fragility results.The findings indicate that peak ground velocity and spectral IMs are the most effective,while energy-related IMs underestimate SR.The study highlights the importance of optimizing IMs for more accurate seismic resilience assessments.The proposed entropy-based multi-criteria approach is shown to be both reliable and effective for selecting optimal IMs in this context.展开更多
Background:Exposure to environmental vulnerability poses significant threats to adolescent suicidal ideation,while individual resilience can mitigate these adverse effects with notable gender commonalities and differe...Background:Exposure to environmental vulnerability poses significant threats to adolescent suicidal ideation,while individual resilience can mitigate these adverse effects with notable gender commonalities and differences.However,research examining how these factors co-configure at the individual level remains limited,particularly from a gender-specific perspective.Thus,the present study aims to adopt a person-centered analytic approach to identify gender-specific configurations of environmental vulnerability and individual resilience associated with suicidal ideation among Chinese adolescents.Methods:Data were collected from 2616 Chinese primary and secondary school students(aged 10–17;1223 girls).Participants completed validated scales measuring environmental vulnerability,individual resilience,and suicidal ideation.Latent profile analysis(LPA)was conducted separately by gender.Results:Gender differences were prominent:males exhibited higher resilience and lower suicidal ideation,while females reported higher environmental vulnerability and elevated levels of suicidal ideation.LPA identified three distinct profiles for males:Low Vulnerable–High Protective–Low Risk(LHL),Medium Vulnerable–Low Protective–Low Risk(MLL),and High Vulnerable–Low Protective–High Risk(HLH).Four profiles emerged for females:LHL,MLL,Medium Vulnerable–Low Protective–Medium Risk(MLM),and HLH.Crucially,within the HLH profile,males exhibited particularly deficient humor(η^(2)=0.19)and confidence(η^(2)=0.16),while females formed a distinct subgroup characterized by severe academic and family stressors(η^(2)=0.30–0.36).Conclusion:The study underscores developing gender-specific mental health interventions using a nuanced,person-centered approach that considers both environmental risk and individual resilience factors,which allows for targeted suicide prevention strategies addressing the unique needs of male and female adolescents.展开更多
Self-compassion is an important psychological resource that improves health-related quality of life and diabetes self-management;however,the psychological processes underlying these associations remain unclear.This st...Self-compassion is an important psychological resource that improves health-related quality of life and diabetes self-management;however,the psychological processes underlying these associations remain unclear.This study examined the roles of meaning in life and resilience in the relationship between self-compassion and both health-related quality of life and diabetes self-management.Participants were 301 individuals living with type 2 diabetes(176(58.5%)females,M age=49.69,SD=12.36)conveniently selected from two tertiary healthcare institutions in Nigeria.They completed self-report measures of self-compassion,meaning in life,resilience,health-related quality of life and diabetes selfmanagement.Multiple regression analyses indicated that self-compassion positively predicted health-related quality of life and diabetes self-management.Meaning in life and resilience independently and positively predicted health-related quality of life and diabetes self-management.Mediation analysis showed that meaning in life mediated the association between self-compassion and health-related quality of life,as well as diabetes self-management.Likewise,resilience mediated the connection between self-compassion and health-related quality of life,and diabetes self-management behaviour.Intervention for diabetes self-management should focus on promoting self-compassion,meaning in life and resilience abilities of patients,as they can potentially improve health and self-care behaviours needed for recovery.展开更多
Background:Submarine personnel often experience insomnia and reduced psychological resilience due to extended deployments in confined,high-stress environments.Effective non-pharmacological interventions are needed to ...Background:Submarine personnel often experience insomnia and reduced psychological resilience due to extended deployments in confined,high-stress environments.Effective non-pharmacological interventions are needed to improve sleep quality and resilience in this population.This study aimed to investigate the effect of virtual reality(VR)combined with forest therapy interventions on psychological resilience and sleep quality among submarine personnel with insomnia symptoms.Methods:Using convenience sampling,92 submarine personnel with insomnia symptoms undergoing recuperation at a PLA sanatorium between July 2023 and May 2025 were randomly allocated to experimental and control groups(n=46 each).The control group received forest therapy intervention,while the intervention group received combined VR and forest therapy interventions.Pre-and post-intervention assessments were conducted using the Pittsburgh Sleep Quality Index(PSQI)and Connor-Davidson Resilience Scale(CD-RISC).Results:There is no significant differences between two groups before the intervention on sleep or psychological resilience.Both groups showed significant pre-to post-intervention improvements in sleep and resilience;however,mixed-ANOVA results showed that the intervention(VR+forest therapy)group achieved significantly better outcomes than the control group at post-intervention after Bonferroni correction,including lower PSQI total and key component scores(subjective sleep quality,sleep efficiency,daytime dysfunction)and higher CD-RISC resilience scores.Conclusions:The integration of virtual reality and forest therapy effectively improved sleep quality and psychological resilience among submarine personnel with insomnia symptoms.This combined intervention shows promise as a non-pharmacological approach in military healthcare settings;however,further studies are needed to validate and generalize these findings.展开更多
Great Lakes Regions(GLRs)in China often confront landscape fragmentation,wetland degradation,and ecological resilience(ER)losses owing to extensive and intensive urbanization.In GLRs,however,the ER responses to urbani...Great Lakes Regions(GLRs)in China often confront landscape fragmentation,wetland degradation,and ecological resilience(ER)losses owing to extensive and intensive urbanization.In GLRs,however,the ER responses to urbanization remain unclear.This study explored the spatiotemporal evolution of ER and urbanization in five GLRs in China to analyze the ER dynamic patterns along center−lakeside−periphery gradient.The Spatial Durbin Model(SDM)and Panel Threshold Model(PTM)were combined to reveal the spillover and threshold effects of urbanization in five GLRs.The results indicate that the ER in five GLRs declined with a rate of 21%from 2000 to 2020.There was a clear“center-periphery”contraction trend with low ER areas primarily spreading to human activity-concentrated regions such as lakesides,riversides,and road networks.Driven by economic and land urbanization,the average urbanization level increased from 0.06 to 0.13,where lakesides,riversides,and road networks were key areas undergoing expansion.The urbanization showed a noticeable negative spatial spillover effect on ER.Away from central lakes,the negative impacts on ER exhibited a two-phase decrease with the threshold of 81 km.This study contributes to the understanding of human-environment interactions by examining the ecological resilience response process of GLRs under the impact of urbanization.Based on a multidimensional“center−lakeside−periphery”analytical model,this study provides a strategic framework for ecological construction in GLRs in China,promoting sustainable development and adaptive capacity in vulnerable areas.展开更多
Objectives:Although standardized residency trainees are at high risk for depression,anxiety,and suicidal ideation,the psychological pathways connecting depression and anxiety to suicidal ideation,especially the modera...Objectives:Although standardized residency trainees are at high risk for depression,anxiety,and suicidal ideation,the psychological pathways connecting depression and anxiety to suicidal ideation,especially the moderating role of resilience,remain elusive.This study aimed to examine the associations between depression,anxiety,and suicidal ideation among physicians undergoing standardized residency training,and to investigate the moderating roles of different dimensions of individual resilience,namely tenacity,strength,and optimism.Methods:A convenience sampling method was adopted to recruit 133 resident physicians.Validated instruments assessing individual resilience,depressive symptoms,anxiety levels,and suicidal ideation were administered.Spearman correlation analysis was used to evaluate the relationships among the variables.Hierarchical regression analysis was conducted to assess the moderating roles of tenacity,strength,and optimism in the associations between depression,anxiety,and suicidal ideation.Results:Depressive symptoms and anxiety levels were both positively associated with suicidal ideation(p<0.001).All three resilience dimensions were negatively correlated with suicidal ideation(tenacity:r=−0.504,strength:r=−0.477,optimism:r=−0.440,all p<0.001).Tenacity,strength,and optimism significantly moderated the associations between depression and suicidal ideation(all p<0.05).When resilience levels in these dimensions were high,the associations between depression and suicidal ideation were weaker.Strength and optimism also moderated the associations between anxiety and suicidal ideation(strength:p=0.028,optimism:p=0.028).When the resiliences(strength and optimism)were high,the associations between anxiety and suicidal ideation were weaker.Conclusion:Individual resilience,particularly in the dimensions of tenacity,strength,and optimism,may serve as protective correlates for physicians in training,being associated with weaker relationships between depression,anxiety,and suicidal ideation.These findings highlight the potential value of resilience-enhancing strategies in clinical training settings,although causal inferences cannot be drawn due to the cross-sectional design.展开更多
Objectives:Psychological resilience is a critical resource for vocational high school students navigating social biases and fostering mental well-being.This six-month longitudinal study investigated the developmental ...Objectives:Psychological resilience is a critical resource for vocational high school students navigating social biases and fostering mental well-being.This six-month longitudinal study investigated the developmental trajectories of discrimination perception,vocational identity,and psychological resilience in this population.It further examined the longitudinal mediating role of vocational identity in the relationship between discrimination perception and psychological resilience.Methods:A total of 526 students from five vocational high schools in Guangdong,China,were assessed via convenience sampling at two time points:baseline(T1,September 2023)and six-month follow-up(T2,March 2024).Measures of discrimination perception,psychological resilience,and vocational identity were administered.Data were analyzed using a cross-lagged panel model to test for bidirectional relationships.Results:Over the six-month period,students showed significant decreases in discrimination perception and vocational identity,but a significant increase in psychological resilience.The cross-lagged model revealed significant bidirectional relationships:discrimination perception and psychological resilience negatively predicted each other over time(β=−0.124,p<0.01;β=−0.200,p<0.001),while psychological resilience and vocational identity positively predicted each other(β=0.084,p<0.05;β=0.076,p<0.05).The mediation analysis revealed a dual-pathway mechanism.T1 discrimination perception exerted both a significant direct negative effect on T2 psychological resilience(β=−0.332,p<0.001)and a significant indirect positive effect via T1 vocational identity(indirect effect=0.020,95%CI[0.001,0.046]).This confirms a partial mediating role,indicating that vocational identity functions as a compensatory mechanism,transforming the experience of discrimination perception into a potential source of psychological resilience.Conclusions:For vocational high school students,perception of discrimination directly undermines psychological resilience,but also indirectly fosters it through the positive development of vocational identity.These findings highlight vocational identity as a pivotal mechanism in the complex relationship between social adversity and mental resilience.展开更多
Prolonged droughts have emerged as a major impediment to the revitalization of pastoral regions worldwide because they significantly augment their susceptibility to the deleterious effects of global climate change,ove...Prolonged droughts have emerged as a major impediment to the revitalization of pastoral regions worldwide because they significantly augment their susceptibility to the deleterious effects of global climate change,overgrazing,and land degradation.This study,conducted in 106 pastoral villages across 33 pastoral banners of Inner Mongolia Autonomous Region of China between August 2021 and October 2022,used a community resilience evaluation indicator system to assess drought resistance.By calculating a community resilience index,the research explored influencing factors and proposed countermeasures,aiming to enhance resilience to prolonged drought.The results revealed three key findings.1)Pastoral areas exhibited a limited degree of community resilience to drought disasters(overall score=0.28),with resilience levels forming a pyramid-shaped hierarchy.2)Dimensional analysis showed that resilience scores decreased sequentially across five domains:social(0.53)>cultural(0.44)>environmental(0.38)>economic(0.32)>management(0.27).These results highlight the crucial role of economic and management resilience in enhancing community resilience,particularly when accompanied by pre-and post-disaster government support and social security,both of which must be improved.3)Key factors influencing community resilience included geographical location,traffic accessibility,and frequency and severity of droughts.From a drought resilience perspective,targeted strategies and recommendations are proposed to provide novel and practical approaches for achieving sustainable development in pastoral areas and rural regions as a whole.展开更多
In the era of the digital economy,digital trade has demonstrated strong vitality,becoming a crucial driving force for the highquality development of national and regional economies.However,understanding the resilience...In the era of the digital economy,digital trade has demonstrated strong vitality,becoming a crucial driving force for the highquality development of national and regional economies.However,understanding the resilience of digital trade in the face of external crises is an important topic.Taking the backdrop of Sino-US trade friction,this paper constructs a resilience index system for digital trade.It utilizes entropy method,kernel density estimation,and ArcGIS mapping to calculate and visually analyze the resilience of China’s digital trade from 2017 to 2021.Additionally,a Tobit model is constructed to explore the main influencing factors of digital trade resilience patterns.The research findings indicate:1)temporally,during the period of Sino-US trade friction,China’s digital trade resilience shows an overall upward trend,but there are regional differences in resilience levels across the country,with a severe polarization phenomenon.2)Spatially,high resilience is observed in the eastern and central regions of China,while the western and northeastern regions exhibit low resilience.3)From a dimensional perspective,the resistance of digital trade resilience displays a spatial distribution of high values in the east and low values in the west.The recovery force is aggregated along coastal areas,and the renewal force tends to aggregate along the eastern coastline.4)Factors such as economic scale,industrial structure,urbanization rate,government fiscal expenditure,and technological talents significantly promote the enhancement of digital trade resilience.This study reveals the dynamic characteristics and influencing factors of digital trade resilience in responding to external shocks,providing theoretical basis and policy suggestions for enhancing digital trade resilience,and promoting high-quality economic development in China.展开更多
To improve the resilience of railway stations,a typical station was selected as the research object,and an isolation design was introduced.Twenty-four groups of near-fault pulse-like ground motions were selected.The s...To improve the resilience of railway stations,a typical station was selected as the research object,and an isolation design was introduced.Twenty-four groups of near-fault pulse-like ground motions were selected.The seismic resilience of the no-isolation railway stations(NIRS)and the isolation railway stations(IRS)were compared to provide a numerical result of the improvement in resilience.The results show that in the station isolation design,the station's functional requirements and structural characteristics should be considered and the appropriate placement of isolation bearings is under the waiting room.Under the action of a rare earthquake,the repair cost,repair time,rate of harm and death of the IRS were decreased by 8.04 million,18.30 days,6.93×10^(-3)and 1.21×10^(-3),respectively,when compared to the NIRS.The IRS received a seismic resilience grade of three-stars and the NIRS only one-star,indicating that rational isolation design improves the seismic resilience of stations.Thus,for the design of stations close to earthquake faults,it is suggested to utilize appropriate isolation techniques to improve their seismic resilience.展开更多
文摘The Chinese word韧性(rènxìng,resilience),which resonated deeply with the public in2025,ranked No.1 on the annual list of top10 Chinese buzzwords recently unveiled by Shanghai-based language and literature magazine Yaowen Jiaozi.Originating from the concept of being“pliant yet solid”,it embodies an unyielding spirit.In economics,resilience denotes the capacity to withstand,absorb,and recover from external shocks.
文摘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Vicerrectoría de Inves-tigaciones of the UMNG for the financial support of the IMP-ING-3743 Project.
文摘This study presents a hybrid methodology for predicting building collapses within the Intelligent Circular Resilience(ICR)framework.This uses a supervised Machine Learning(ML)approach,earthquake damage re-ports,and the Simplified Resilience Index(SRI),derived from existing earthquake damage models(EDM)-based on fragility and vulnerability functions-used in the probabilistic seismic risk assessment(PSRA).A curated building damage database comprising 89 structures(71 collapsed and 18 non-collapsed)from ten countries affected by major earthquakes(Mw 6.1-8.1,epicentral distances of 3-125 km,and PGA values ranging from 0.14 g to 0.82 g)was developed,including attributes related to exposure:occupancy,main structural material,number of stories,construction year,and hazard:magnitude,epicentral distance,intensity measures(Peak-ground acceleration,PGA,and elastic spectral acceleration).The dataset includes events such as the 2017 Puebla-Morelos earthquake(Mw 7.1,Mexico),the 1999 Kocaeli earthquake(Mw 7.6,Turkey),and the 2011 Christchurch earthquake(Mw 6.1,New Zealand),among others.Likewise,dependent attributes such as time elapsed and SRI(under 120-,180-,and 365-day recovery scenarios)were calculated using 2-EDMs.Eight Random Forest models were trained and tested for collapse and non-collapse classification using combinations of independent and dependent attributes.The results indicate that models incorporating exposure-related varia-bles-such as structural material,number of stories,construction year,and occupancy-alongside the SRI significantly improve collapse classification performance,achieving recall and F1 scores above 95%.Notably,many collapsed buildings exhibited low intensities(PGA≤0.25 g),emphasizing the influence of local site effects-particularly in Mexico City.The findings demonstrate that incorporating SRI enhances the reliability of collapse prediction and supports its use as an interpretable resilience proxy during early ICR stages.This hybrid methodology bridges empirical data,traditional PSRA models,and ML techniques,contributing to more accurate and scalable post-earthquake resilience assessments.
基金supported by the National Natural Science Foundation of China(Grants No.42522105 and 42171088)the 111 Project of China(Grant No.B23027)the Fundamental Research Funds for the Central Universities of China.
文摘Resilience plays a crucial role in maintaining desirable ecosystem states and is a key objective of sustainable ecosystem management.This study synthesizes the concepts and measurement approaches of terrestrial ecosystem resilience and expounded on its spatio-temporal changes and influencing factors based on the literature over the past 50 years.Arid regions exhibited the lowest levels of spatial resilience,and the global ecosystem resilience showed a downward trend.In the focal regions,ecological resilience in Amazonian and Southeast Asian rainforest regions declined primarily driven by human activities such as deforestation and cropland expansion.Precipitation and temperature exerted bidirectional influences the resilience of ecosystems,indicating that ecosystem responses to climatic factors were non-monotonic.Evidence concerning anthropogenic factors such as land management and deforestation on ecosystem resilience were predominantly negative.Overall,this study provides a comprehensive synthesis of large scale terrestrial ecosystem resilience assessments,offering valuable insights for ecosystem protection and restoration policy development.
文摘On October 28,2025,China and ASEAN signed the China-ASEAN Free Trade Area(CAFTA)3.0 Upgrade Protocol in Kuala Lumpur,Malaysia,in the presence of Chinese Premier Li Qiang,Malaysian Prime Minister Anwar Ibrahim,and leaders of other ASEAN member states.A close look at the protocol shows that the upgraded agreement marks substantive advances on several fronts.
基金supported by the European Union’s Horizon 2020 research and innovation programme under grant agreement No.101037424.
文摘Enhancing the resilience of critical infrastructure(CI)systems has become a focal point of national and inter-national policies.However,the formulation of resilience enhancement strategies often requires component-(i.e.asset-)level prioritization,which entails many complexities.Acknowledging the complex and interdependent nature of infrastructure systems,this paper aims to aid researchers,practitioners and policy-makers by pre-senting a review of the relative literature and current state-of-the-art,and by identifying future research op-portunities to improve the applicability and operationalizability of CI component identification and prioritization methods.Theoretical and practical applications are reviewed for definitions,analysis and modelling approaches regarding the resilience of interdependent infrastructure systems.A detailed review of infrastructure criticality definitions,component criticality assessment and prioritization frameworks,from scientific,policy and other documents,is presented.A discussion on social justice and equity dimensions therein is included,which have the potential to greatly influence decisions and should always be incorporated in infrastructure planning and in-vestment discussions.The findings of this review are discussed in terms of applicability and operationalizability.Key recommendations for future research include:(i)developing quantification frameworks for CI component criticality based on formal definitions and multiple criteria,(ii)incorporating the entire resilience cycle of CI in component prioritization,(iii)accounting for the socio-technical nature of CI systems by integrating social di-mensions and their wider operating environment and(iv)developing comprehensive model validation,cali-bration and uncertainty analysis frameworks.
文摘China’s economy demonstrated remarkable resilience in 2025,with its GDP exceeding RMB 140 trillion for the first time and achieving a five percent year-on-year growth.This performance marked the successful conclusion of the 14th Five-Year Plan(2021-2025),during which the country’s economy achieved“four consecutive leaps,”expanding from RMB 110 trillion to 120 trillion,then to 130 trillion,and finally to 140 trillion.
文摘Purpose-This study explores how managerial leadership and organizational innovation interact to enhance resilience and risk management in railway supply chains and how these capabilities contribute to sustained competitive advantage.It emphasizes the strategic importance of resilience in railway systems that face operational complexity,regulatory pressures and increasing exposure to systemic risks.Design/methodology/approach-A mixed-methods design was employed,integrating survey data from 186 railway organizations with six case studies involving railway operators,rolling stock manufacturers and supply chain partners across multiple regions.Constructs were measured using validated scales and hypothesized relationships were tested using Structural Equation Modeling(SEM).Case study interviews were analyzed thematically to provide contextual understanding of leadership practices and innovation strategies.Findings-The results confirm that transformational managerial leadership significantly predicts innovation adoption,which in turn strengthens resilience and risk management capabilities.Resilience emerged as a powerful driver of competitive advantage,reinforcing its role as a strategic capability rather than a reactive response to disruptions.Furthermore,innovation was shown to partially mediate the relationship between leadership and resilience,highlighting its function as the operational channel through which vision translates into capability.Originality/value-This study contributes to the literature by integrating the Resource-Based View(RBV)and Dynamic Capabilities(DC)framework into the context of railway supply chains.It is among the first to empirically validate the mediating role of innovation between leadership and resilience,offering both theoretical advancements and actionable strategies for building resilient and competitive railway systems.
基金supported by the Science and Technology Project of the State Grid Corporation of China“Research on Comprehensive Value Evaluation Method of Flexible Adjusting Resources under Carbon-electricity-certificate Market Coupling Environment”(No.5108-202455038A-1-1-ZN).
文摘The energy transition inspired by carbon neutrality targets and the increasing threat of extreme events raise multi-objective development requirements for power systems.This paper proposes a multi-objective resource allocation model to determine the type,number and location of flexible resources to increase the values of resilience,carbon reduction and renewable energy consumption.To evaluate the values of resilience,a restoration model for transmission systems is established that considers the coordination of fossil-fuel generators,energy storage systems(ESSs)and renewable energy generators in building restoration paths.The collaborative power-carbon-tradable green certificate(TGC)market model is then applied to evaluate the resource values in terms of carbon reduction and renewable energy consumption.Finally,the model is formulated as a mixed-integer linear programming(MILP)with a nonconvex feasible domain,and the normalized normal constraint(NNC)method is applied to obtain approximate Pareto frontiers for decision makers.Case studies validate the effectiveness of the proposed model in improving multi-factor values and analyze the impact of resource regulation capacity on values of restoration and carbon reduction.
文摘Background:Self-esteem,life satisfaction,resilience,and coping strategies are closely linked to depression;however,their interrelationships and relative contributions to depressive outcomes remain insufficiently understood.This study aimed to examine these associations in individuals with major depressive disorder(MDD)and healthy controls and to evaluate their predictive and mediating roles in depression.Methods:This analytical cross-sectional study included 311 participants(158 patients with MDD and 153 healthy controls)recruited from the Psychiatry Outpatient Clinics of Mugla Training and Research Hospital.Psychiatric diagnoses were confirmed using the Structured Clinical Interview for DSM-5(SCID-5).Groups were balanced for age,sex,and education using propensity score matching(PSM).Participants completed the Rosenberg Self-Esteem Scale,Satisfaction with Life Scale,Brief Resilience Scale,Brief COPE Inventory,and Beck Depression Inventory.Results:Compared with healthy controls,individuals with MDD reported significantly lower life satisfaction and resilience and higher depressive symptom severity,whereas self-esteem did not differ significantly between groups.Emotion-focused coping decreased with increasing depression severity,while avoidant coping showed a modest but significant increase in severe depression.Logistic regression analyses identified life satisfaction(OR=0.95,p=0.004)and resilience(OR=0.92,p=0.002)as significant protective predictors of depression.Mediation analyses demonstrated that life satisfaction partially mediated the relationship between self-esteem and depression,whereas resilience exerted a predominantly direct effect.Conclusion:Life satisfaction and resilience emerge as key protective factors against depression.Self-esteem appears to influence depressive outcomes indirectly through life satisfaction rather than through a direct effect.These findings underscore the importance of interventions that enhance resilience and promote positive evaluations of life in individuals at risk for depression.
基金partly supported by Engineering Partners Inter-national,LLC,Richfield,MN 55423(PC13803,482842-58309).
文摘Seismic resilience(SR)has emerged as a critical focus in earthquake engineering to evaluate the ability of structures to endure,recover from,and adapt to seismic events.This study presents an entropy-based multicriteria approach for selecting optimal intensity measures(IMs)to assess SR of structures.Eight representative IMs,derived from time histories and response spectrum are evaluated.Incremental dynamic analysis is con-ducted on a reinforced concrete structure,using engineering demand parameters such as the maximum interstory drift and floor acceleration to generate fragility curves via a probabilistic seismic demand model.The optimal IMs are identified through a multi-criteria decision-making process,with scores calculated using the entropy weight method to incorporate factors such as efficiency,proficiency,and uncertainty based on infor-mation entropy.An effective SR framework is derived from fragility results.The findings indicate that peak ground velocity and spectral IMs are the most effective,while energy-related IMs underestimate SR.The study highlights the importance of optimizing IMs for more accurate seismic resilience assessments.The proposed entropy-based multi-criteria approach is shown to be both reliable and effective for selecting optimal IMs in this context.
基金supported by the Major Planning Project of Philosophy and Social Science of Guangdong Province(GD23ZD17)the Humanities and Social Sciences Program of the Ministry of Education(23YJA190006)+3 种基金the Ministry of Education(MOE)Major Project of Philosophy and Social Sciences Research(2025JZDZ024)the MOE Project of the Key Research Institute of Humanities and Social Sciences in Universities(22JJD190008)a grant from the Research Center for Brain Cognition and Human Development of Guangdong(2024B0303390003)the Psychological Services and Counseling Base for the Happy Guangzhou Project.
文摘Background:Exposure to environmental vulnerability poses significant threats to adolescent suicidal ideation,while individual resilience can mitigate these adverse effects with notable gender commonalities and differences.However,research examining how these factors co-configure at the individual level remains limited,particularly from a gender-specific perspective.Thus,the present study aims to adopt a person-centered analytic approach to identify gender-specific configurations of environmental vulnerability and individual resilience associated with suicidal ideation among Chinese adolescents.Methods:Data were collected from 2616 Chinese primary and secondary school students(aged 10–17;1223 girls).Participants completed validated scales measuring environmental vulnerability,individual resilience,and suicidal ideation.Latent profile analysis(LPA)was conducted separately by gender.Results:Gender differences were prominent:males exhibited higher resilience and lower suicidal ideation,while females reported higher environmental vulnerability and elevated levels of suicidal ideation.LPA identified three distinct profiles for males:Low Vulnerable–High Protective–Low Risk(LHL),Medium Vulnerable–Low Protective–Low Risk(MLL),and High Vulnerable–Low Protective–High Risk(HLH).Four profiles emerged for females:LHL,MLL,Medium Vulnerable–Low Protective–Medium Risk(MLM),and HLH.Crucially,within the HLH profile,males exhibited particularly deficient humor(η^(2)=0.19)and confidence(η^(2)=0.16),while females formed a distinct subgroup characterized by severe academic and family stressors(η^(2)=0.30–0.36).Conclusion:The study underscores developing gender-specific mental health interventions using a nuanced,person-centered approach that considers both environmental risk and individual resilience factors,which allows for targeted suicide prevention strategies addressing the unique needs of male and female adolescents.
文摘Self-compassion is an important psychological resource that improves health-related quality of life and diabetes self-management;however,the psychological processes underlying these associations remain unclear.This study examined the roles of meaning in life and resilience in the relationship between self-compassion and both health-related quality of life and diabetes self-management.Participants were 301 individuals living with type 2 diabetes(176(58.5%)females,M age=49.69,SD=12.36)conveniently selected from two tertiary healthcare institutions in Nigeria.They completed self-report measures of self-compassion,meaning in life,resilience,health-related quality of life and diabetes selfmanagement.Multiple regression analyses indicated that self-compassion positively predicted health-related quality of life and diabetes self-management.Meaning in life and resilience independently and positively predicted health-related quality of life and diabetes self-management.Mediation analysis showed that meaning in life mediated the association between self-compassion and health-related quality of life,as well as diabetes self-management.Likewise,resilience mediated the connection between self-compassion and health-related quality of life,and diabetes self-management behaviour.Intervention for diabetes self-management should focus on promoting self-compassion,meaning in life and resilience abilities of patients,as they can potentially improve health and self-care behaviours needed for recovery.
文摘Background:Submarine personnel often experience insomnia and reduced psychological resilience due to extended deployments in confined,high-stress environments.Effective non-pharmacological interventions are needed to improve sleep quality and resilience in this population.This study aimed to investigate the effect of virtual reality(VR)combined with forest therapy interventions on psychological resilience and sleep quality among submarine personnel with insomnia symptoms.Methods:Using convenience sampling,92 submarine personnel with insomnia symptoms undergoing recuperation at a PLA sanatorium between July 2023 and May 2025 were randomly allocated to experimental and control groups(n=46 each).The control group received forest therapy intervention,while the intervention group received combined VR and forest therapy interventions.Pre-and post-intervention assessments were conducted using the Pittsburgh Sleep Quality Index(PSQI)and Connor-Davidson Resilience Scale(CD-RISC).Results:There is no significant differences between two groups before the intervention on sleep or psychological resilience.Both groups showed significant pre-to post-intervention improvements in sleep and resilience;however,mixed-ANOVA results showed that the intervention(VR+forest therapy)group achieved significantly better outcomes than the control group at post-intervention after Bonferroni correction,including lower PSQI total and key component scores(subjective sleep quality,sleep efficiency,daytime dysfunction)and higher CD-RISC resilience scores.Conclusions:The integration of virtual reality and forest therapy effectively improved sleep quality and psychological resilience among submarine personnel with insomnia symptoms.This combined intervention shows promise as a non-pharmacological approach in military healthcare settings;however,further studies are needed to validate and generalize these findings.
基金supported by the National Natural Science Foundation of China(Grants No.42301226,42271209 and 42471199)the Fundamental Research Funds for the Central Universities(Grant No.2024CDJXY014)+2 种基金the Natural Science Foundation of Jiangxi Province(Grant No.20242BAB25170)Special Funds for Water Resources in Jiangxi Province(Science and Technology Projects)(Grant No.202425YBKT16)the Young Talent Cultivation and Innovation Fund Project of Nanchang University(Grant No.XX202506030028).
文摘Great Lakes Regions(GLRs)in China often confront landscape fragmentation,wetland degradation,and ecological resilience(ER)losses owing to extensive and intensive urbanization.In GLRs,however,the ER responses to urbanization remain unclear.This study explored the spatiotemporal evolution of ER and urbanization in five GLRs in China to analyze the ER dynamic patterns along center−lakeside−periphery gradient.The Spatial Durbin Model(SDM)and Panel Threshold Model(PTM)were combined to reveal the spillover and threshold effects of urbanization in five GLRs.The results indicate that the ER in five GLRs declined with a rate of 21%from 2000 to 2020.There was a clear“center-periphery”contraction trend with low ER areas primarily spreading to human activity-concentrated regions such as lakesides,riversides,and road networks.Driven by economic and land urbanization,the average urbanization level increased from 0.06 to 0.13,where lakesides,riversides,and road networks were key areas undergoing expansion.The urbanization showed a noticeable negative spatial spillover effect on ER.Away from central lakes,the negative impacts on ER exhibited a two-phase decrease with the threshold of 81 km.This study contributes to the understanding of human-environment interactions by examining the ecological resilience response process of GLRs under the impact of urbanization.Based on a multidimensional“center−lakeside−periphery”analytical model,this study provides a strategic framework for ecological construction in GLRs in China,promoting sustainable development and adaptive capacity in vulnerable areas.
基金supported by Jiangsu Cancer Hospital Science and Technology Development Fund Project(NO.XHMS202404)Nanjing Medical Science and Technology Development Fund Project(GBX22289).
文摘Objectives:Although standardized residency trainees are at high risk for depression,anxiety,and suicidal ideation,the psychological pathways connecting depression and anxiety to suicidal ideation,especially the moderating role of resilience,remain elusive.This study aimed to examine the associations between depression,anxiety,and suicidal ideation among physicians undergoing standardized residency training,and to investigate the moderating roles of different dimensions of individual resilience,namely tenacity,strength,and optimism.Methods:A convenience sampling method was adopted to recruit 133 resident physicians.Validated instruments assessing individual resilience,depressive symptoms,anxiety levels,and suicidal ideation were administered.Spearman correlation analysis was used to evaluate the relationships among the variables.Hierarchical regression analysis was conducted to assess the moderating roles of tenacity,strength,and optimism in the associations between depression,anxiety,and suicidal ideation.Results:Depressive symptoms and anxiety levels were both positively associated with suicidal ideation(p<0.001).All three resilience dimensions were negatively correlated with suicidal ideation(tenacity:r=−0.504,strength:r=−0.477,optimism:r=−0.440,all p<0.001).Tenacity,strength,and optimism significantly moderated the associations between depression and suicidal ideation(all p<0.05).When resilience levels in these dimensions were high,the associations between depression and suicidal ideation were weaker.Strength and optimism also moderated the associations between anxiety and suicidal ideation(strength:p=0.028,optimism:p=0.028).When the resiliences(strength and optimism)were high,the associations between anxiety and suicidal ideation were weaker.Conclusion:Individual resilience,particularly in the dimensions of tenacity,strength,and optimism,may serve as protective correlates for physicians in training,being associated with weaker relationships between depression,anxiety,and suicidal ideation.These findings highlight the potential value of resilience-enhancing strategies in clinical training settings,although causal inferences cannot be drawn due to the cross-sectional design.
基金supported by the Guangdong Provincial Philosophy and Social Science“14th Five-Year Plan”Discipline Co-Construction Project(Grant No.GD22XJY14)the 2022 Guangdong Provincial Higher Education Teaching Reform Project(Grant No.Yue Jiao Gao[2023]4)Guangdong Polytechnic Normal University’s Project for Enhancing the Research Capacity of Doctoral Application Institution(Grant No.22GPNUZDJS48).
文摘Objectives:Psychological resilience is a critical resource for vocational high school students navigating social biases and fostering mental well-being.This six-month longitudinal study investigated the developmental trajectories of discrimination perception,vocational identity,and psychological resilience in this population.It further examined the longitudinal mediating role of vocational identity in the relationship between discrimination perception and psychological resilience.Methods:A total of 526 students from five vocational high schools in Guangdong,China,were assessed via convenience sampling at two time points:baseline(T1,September 2023)and six-month follow-up(T2,March 2024).Measures of discrimination perception,psychological resilience,and vocational identity were administered.Data were analyzed using a cross-lagged panel model to test for bidirectional relationships.Results:Over the six-month period,students showed significant decreases in discrimination perception and vocational identity,but a significant increase in psychological resilience.The cross-lagged model revealed significant bidirectional relationships:discrimination perception and psychological resilience negatively predicted each other over time(β=−0.124,p<0.01;β=−0.200,p<0.001),while psychological resilience and vocational identity positively predicted each other(β=0.084,p<0.05;β=0.076,p<0.05).The mediation analysis revealed a dual-pathway mechanism.T1 discrimination perception exerted both a significant direct negative effect on T2 psychological resilience(β=−0.332,p<0.001)and a significant indirect positive effect via T1 vocational identity(indirect effect=0.020,95%CI[0.001,0.046]).This confirms a partial mediating role,indicating that vocational identity functions as a compensatory mechanism,transforming the experience of discrimination perception into a potential source of psychological resilience.Conclusions:For vocational high school students,perception of discrimination directly undermines psychological resilience,but also indirectly fosters it through the positive development of vocational identity.These findings highlight vocational identity as a pivotal mechanism in the complex relationship between social adversity and mental resilience.
基金Under the auspices of the National Key Research and Development Program of China Science and Technology Cooperation Project of the Chinese and Russian Governments(No.2023YFE0111300)National Social Science Fund of China(No.23BGL204)Natural Science Foundation of Inner Mongolia(No.2022MS04001)。
文摘Prolonged droughts have emerged as a major impediment to the revitalization of pastoral regions worldwide because they significantly augment their susceptibility to the deleterious effects of global climate change,overgrazing,and land degradation.This study,conducted in 106 pastoral villages across 33 pastoral banners of Inner Mongolia Autonomous Region of China between August 2021 and October 2022,used a community resilience evaluation indicator system to assess drought resistance.By calculating a community resilience index,the research explored influencing factors and proposed countermeasures,aiming to enhance resilience to prolonged drought.The results revealed three key findings.1)Pastoral areas exhibited a limited degree of community resilience to drought disasters(overall score=0.28),with resilience levels forming a pyramid-shaped hierarchy.2)Dimensional analysis showed that resilience scores decreased sequentially across five domains:social(0.53)>cultural(0.44)>environmental(0.38)>economic(0.32)>management(0.27).These results highlight the crucial role of economic and management resilience in enhancing community resilience,particularly when accompanied by pre-and post-disaster government support and social security,both of which must be improved.3)Key factors influencing community resilience included geographical location,traffic accessibility,and frequency and severity of droughts.From a drought resilience perspective,targeted strategies and recommendations are proposed to provide novel and practical approaches for achieving sustainable development in pastoral areas and rural regions as a whole.
基金Under the auspices of National Natural Science Foundation of China(No.42471205)the General Scientific Research Project of Zhejiang Provincial Department of Education(No.2024JYTYB12)the Philosophy and Social Science Planning Project of Zhejiang Province(No.23NDJC109YB)。
文摘In the era of the digital economy,digital trade has demonstrated strong vitality,becoming a crucial driving force for the highquality development of national and regional economies.However,understanding the resilience of digital trade in the face of external crises is an important topic.Taking the backdrop of Sino-US trade friction,this paper constructs a resilience index system for digital trade.It utilizes entropy method,kernel density estimation,and ArcGIS mapping to calculate and visually analyze the resilience of China’s digital trade from 2017 to 2021.Additionally,a Tobit model is constructed to explore the main influencing factors of digital trade resilience patterns.The research findings indicate:1)temporally,during the period of Sino-US trade friction,China’s digital trade resilience shows an overall upward trend,but there are regional differences in resilience levels across the country,with a severe polarization phenomenon.2)Spatially,high resilience is observed in the eastern and central regions of China,while the western and northeastern regions exhibit low resilience.3)From a dimensional perspective,the resistance of digital trade resilience displays a spatial distribution of high values in the east and low values in the west.The recovery force is aggregated along coastal areas,and the renewal force tends to aggregate along the eastern coastline.4)Factors such as economic scale,industrial structure,urbanization rate,government fiscal expenditure,and technological talents significantly promote the enhancement of digital trade resilience.This study reveals the dynamic characteristics and influencing factors of digital trade resilience in responding to external shocks,providing theoretical basis and policy suggestions for enhancing digital trade resilience,and promoting high-quality economic development in China.
基金National Natural Science Foundation of China under Grant No.52278534Sichuan Provincial Natural Science Foundation of China under Grant No.2022NSFSC0423。
文摘To improve the resilience of railway stations,a typical station was selected as the research object,and an isolation design was introduced.Twenty-four groups of near-fault pulse-like ground motions were selected.The seismic resilience of the no-isolation railway stations(NIRS)and the isolation railway stations(IRS)were compared to provide a numerical result of the improvement in resilience.The results show that in the station isolation design,the station's functional requirements and structural characteristics should be considered and the appropriate placement of isolation bearings is under the waiting room.Under the action of a rare earthquake,the repair cost,repair time,rate of harm and death of the IRS were decreased by 8.04 million,18.30 days,6.93×10^(-3)and 1.21×10^(-3),respectively,when compared to the NIRS.The IRS received a seismic resilience grade of three-stars and the NIRS only one-star,indicating that rational isolation design improves the seismic resilience of stations.Thus,for the design of stations close to earthquake faults,it is suggested to utilize appropriate isolation techniques to improve their seismic resilience.
