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Storm surges are the leading marine disaster in China’s coastal cities, with their impacts exacerbated by climate change and rapid urbanization. Despite their significance, most existing studies focus on a single scale, neglecting the complex, multi-scale nature of urban resilience and the interrelated governance strategies needed to address storm surge risks. This study introduces a dual-scale resilience indicator system—macro (prefecture-level cities) and micro (coastal buffer grids)—within the “exposure–sensitivity–adaptation” framework, utilizing multi-source data for a comprehensive assessment. This research also explores the impact mechanisms of storm surges on urban areas and proposes zonal governance strategies. Findings indicate that resilience varies spatially in Chinese coastal cities, with a pattern of “high resilience in the north, low resilience in the south, and a mix in the center.” At the macro scale, key limitations include policy implementation, infrastructure capacity, and social vulnerability. At the micro scale, factors such as inadequate green space, increased impervious surfaces, limited shelter access, and low utility network density lead to the emergence of “low-resilience units” in ecologically sensitive and mixed coastal zones. The study further reveals the synergies between resilience drivers across scales, emphasizing the need for integrated cross-scale governance. This research advances resilience theory by expanding spatial scales and refining indicator systems, while proposing a zonal governance framework tailored to resilience gradation. It offers a quantitative basis and practical strategies for fostering “safe cities” and advancing “adaptive spatial planning” in the context of sustainable development. Full article

Background: Childhood cancer survivors (CCSs) are at heightened risk of long-term neurocognitive and emotional difficulties that can affect educational attainment, social participation, and overall quality of life. These outcomes vary across developmental stages and are influenced by treatment modality, age at diagnosis, and central nervous system (CNS) involvement. Methods: A comprehensive literature search was conducted in PubMed, Scopus, PsycINFO, and Web of Science for articles published between January 2000 and June 2024. Search terms included combinations of “childhood cancer survivors,” “neurocognitive outcomes,” “executive function,” “emotional regulation,” and related MeSH terms. Inclusion criteria required peer-reviewed studies assessing CCS using standardized neuropsychological or emotional measures. Results: Evidence indicates persistent deficits in processing speed, working memory, and higher-order executive functions, with additional challenges in attention and memory. Emotional difficulties, including anxiety, depression, and social withdrawal, were prevalent and often co-occurred with cognitive impairments. Developmental timing of cancer and treatment was a key determinant of outcome. Family functioning, school reintegration support, and broader social environments emerged as important moderators of resilience. Conclusions: CCSs face complex, interrelated cognitive and emotional challenges that warrant early identification and ongoing, developmentally tailored intervention. Integrated approaches combining cognitive remediation and psychosocial support appear most effective. Future research should prioritize longitudinal designs, multi-informant assessments, and culturally sensitive frameworks to inform targeted prevention and rehabilitation strategies. Our synthesis highlights that deficits in processing speed and working memory are most pronounced following CNS-directed therapies during early developmental stages, whereas emotional vulnerabilities such as anxiety and social withdrawal often emerge later in adolescence. Interventions combining cognitive remediation, targeted psychosocial support, and structured school reintegration show the strongest evidence for improving adaptive outcomes. Coordinated survivorship care across healthcare, educational, and family systems is essential to sustain developmental recovery. Full article

Following natural disasters, children and adolescents are particularly vulnerable to the onset and persistence of post-traumatic stress symptoms, which can significantly affect developmental trajectories and mental health. Although PTSD networks have been extensively studied in adults, less is known about youth, and no previous studies have examined how PTSD clusters relate to social, emotional, and behavioral difficulties (SEBD). This study applied network analysis to examine how PTSD clusters relate to psychosocial problems in a large sample of trauma-exposed youth. A total of 635 Italian children and adolescents (M_age = 11.19 years, SD = 1.43; 51.5% male), exposed to the 2012 Emilia-Romagna earthquake, completed the UCLA PTSD-RI and the Strengths and Difficulties Questionnaire. Network estimation and centrality indices were computed for the overall sample. Network Comparison Tests assessed differences by gender, age group, and proximity to the epicenter. Emotional problems and Increased Arousal emerged as the most central nodes, whereas Peer Problems were consistently peripheral. Gender differences were significant, whereas no differences were detected by age; moreover, youth living closer to the epicenter exhibited a more densely connected network. Despite its limitations, the study identifies co-occurrence patterns between PTSD clusters and specific SEBD, outlining clinical implications that warrant further investigation. Full article

Drug markets display varying levels of violence across urban contexts, and understanding the drivers behind these differences is essential for designing effective interventions. (1) Background: This study investigates why some cocaine markets are more violent than others, focusing on four cities: Ciudad Juárez, Pereira, Frankfurt, and Madrid. (2) Methods: Using fuzzy-set Qualitative Comparative Analysis (fsQCA), we examined complex configurations of institutional, social, and market-related factors. Data were collected through 56 semi-structured interviews and secondary sources from 2015 to 2020. (3) Results: The findings reveal that violence arises from specific combinations of factors rather than isolated variables. In Latin American cities, violence is associated with weak institutional control, dense criminal networks, high social vulnerability, and fragmented market structures. In contrast, European cities show lower levels of violence due to stronger institutions, effective law enforcement, and well-regulated markets. (4) Conclusions: Addressing violence in cocaine markets requires context-specific strategies that take into account institutional capacity, market dynamics, and broader social conditions. These findings challenge simplistic views of drug market violence and emphasize the need for tailored interventions to mitigate violence effectively. Full article

As tourism increasingly drives the revitalization of traditional villages, rural spaces are undergoing a transformation from functional living areas to spaces for cultural display and leisure. This shift has amplified the spatial usage discrepancies between multiple stakeholders, such as tourists and villagers, highlighting conflicts in spatial resource allocation and behavior path organization. Using Wulin Village, a typical example of a Minnan overseas Chinese village, as a case study, this paper introduces social network analysis to construct a “spatial–behavioral” dual network model. The model integrates both architectural and public spaces, alongside behavior path data from villagers and tourists, to analyze the spatial structure at three scales: village-level network completeness, district-level structural balance, and point-level node vulnerability. The study integrates two dimensions—architectural space and public space—along with behavioral path data from both villagers and tourists. It reveals the characteristics of spatial structure under the intervention of multiple behavioral agents from three scales: village-level network completeness, district-level structural balance, and point-level node vulnerability. The core research focus of the spatial network includes the network structure of architectural and public spaces, while the behavioral network concerns the activity paths and behavior patterns of tourists and villagers. The study finds that, at the village scale, Wulin Village’s spatial network demonstrates good connectivity and structural integrity, but the behavior paths of both tourists and villagers are highly concentrated in core areas, leading to underutilization of peripheral spaces. This creates an asymmetry characterized by “structural integrity—concentrated behavioral usage.” At the district scale, the spatial node distribution appears balanced, but tourist behavior paths are concentrated around cultural nodes, such as the ancestral hall, visitor center, and theater, while other areas remain inactive. At the point scale, both tourist and villager activities are highly dependent on a few high-degree, high-cluster nodes, improving local efficiency but exacerbating systemic vulnerability. Comparison with domestic and international studies on cultural settlements shows that tourism often leads to over-concentration of spatial paths and node overload, revealing significant discrepancies between spatial integration and behavioral usage. In response, this study proposes multi-scale spatial optimization strategies: enhancing accessibility and path redundancy in non-core areas at the village scale; guiding behavior distribution towards multifunctional nodes at the district scale; and strengthening the capacity and resilience of core nodes at the point scale. The results not only extend the application of behavioral network methods in spatial structure research but also provide theoretical insights and practical strategies for spatial governance and cultural continuity in tourism-driven cultural villages. Full article

Background: Cognitive, emotional, and social impairments are pervasive across neuropsychiatric conditions, where alterations in the tryptophan (Trp)–kynurenine pathway and its product kynurenic acid (KYNA) from kynurenine aminotransferases (KATs) have been linked to Alzheimer’s disease, Parkinson’s disease, depression, and post-traumatic stress disorder. In novel CRISPR/Cas9-engineered KAT II knockout (aadat^−/− also known as kat2^−/−) mice, we observed despair-linked depression-like behavior with peripheral excitotoxicity and oxidative stress. KAT II’s role and its crosstalk with serotonin, indole-pyruvate, and tyrosine–dopamine remain unclear. It is unknown whether deficits extend to cognitive, emotional, motor, and social domains or whether brain tissues mirror peripheral stress. Objectives: Delineate domain-wide behaviors, brain oxidative/excitotoxic profiles, and pathway interactions attributable to KAT II. Results: Behavior was unchanged across strains. kat2^−/− deletion remodeled Trp metabolic pathways: 3-hydroxykynurenine increased, xanthurenic acid decreased, KYNA fell in cortex and hippocampus but rose in striatum, quinaldic acid decreased in cerebellum and brainstem. These region-specific changes indicate metabolic stress across the brain and align with higher oxidative load and signs of excitotoxic pressure. Conclusions: Here, we show that KAT II deletion reshapes regional Trp metabolism and amplifies oxidative and excitotoxic imbalance. Although domain-wide behavioral measures, spanning cognition, sociability, and motor coordination, remained largely unchanged, these neurochemical alterations signify a latent emotional bias rather than overt depressive-like behavior. This work, therefore, refines prior findings by delineating KAT II–linked biochemical vulnerability as a potential substrate for stress-reactive affective dysregulation. Full article

Public cooperation is crucial for the police to successfully perform their duties. Yet marginalised and vulnerable groups facing uncertainty about their societal status often significantly mistrust the police. Migrant populations experiencing forced labour are marginalised and uncertain groups that face significant challenges for police in gaining trust and cooperation, especially since many have escaped conflict or authoritarian regimes, or experienced trauma and exploitation prior to encountering police in democratic contexts. This paper examines the potential role of policing agencies in Anglophone countries in addressing forced labour in migrant communities. Whilst recognising that police are not ideal first responders to this issue, the paper acknowledges that they often represent the first visible state response with the legal authority to support or detain individuals. This paper reviews the literature on forced labour and migration and presents a conceptual argument, applying procedural justice as a theoretical framework to assess its potential for improving the policing of forced labour, particularly among newly arrived migrants still establishing social relationships, bonds, and capital. The paper concludes by arguing that procedural justice may help police earn the trust and confidence of migrant populations experiencing forced labour and help address labour exploitation, although this trust-building remains hampered by the concomitant harms caused by crimmigration systems. Full article

In Korea, rural regions increasingly function as peri-urban zones integrated into urban systems. To assess vulnerabilities in these transitional areas characterized by mixed land use and uneven access to infrastructure, this study developed a three-tiered peri-urban livability vulnerability framework by integrating the analytic hierarchy process and the entropy weight method. The results indicated that medical facilities, childcare and education centers, and village communities consistently emerged as key indicators, linking peri-urban livability directly to the stability of settlement environments and the quality of life of residents. Contrastingly, expert evaluations and data-driven outcomes related to road networks and agricultural infrastructure displayed substantial discrepancies, revealing gaps between perceived importance and actual provision levels. Such differences highlight the risk of underestimating infrastructure-related vulnerabilities when subjective assessments are employed exclusively. By synthesizing subjective and objective weights, this study advances urban and environmental analysis and supports evidence-based decision-making for policy prioritization. The findings demonstrate that peri-urban vulnerability is shaped less by productive capacity than by social infrastructure and community stability. This conclusion offers crucial insights for enhancing livability and guiding urban planning strategies. Full article

Currently, many industrial cities in Northeast China are grappling with a surge in brownfields, population loss, and environmental degradation, largely driven by industrial decline. Consequently, brownfield regeneration has emerged as a critical pathway for exploring sustainable development in shrinking cities. This study investigates the regeneration potential of urban brownfields against the backdrop of population shrinkage and aging. Under the framework of Ecosystem Service Theory, this study adopts the Fulaerji District of Qiqihar City as a representative case, integrating its four key categories of ecosystem services into a three-dimensional “economic–social–environmental” evaluation framework. This approach facilitates the transformation of Ecosystem Service Theory from a conventional post-regeneration evaluation tool into a pre-regeneration framework for assessing potential and determining site prioritization. A tripartite evaluation system was constructed, integrating economic vitality (e.g., the population shrinkage index, the proportion of the elderly population, and transportation accessibility), social culture (e.g., the industrial heritage proximity index), and ecological regulation functions (e.g., proximity of green spaces and importance of ecosystem services). Leveraging multi-source geospatial data, land surveys, and field inspections, 12 candidate brownfield sites were identified. GIS spatial analysis and the Analytic Hierarchy Process (AHP) were employed to decipher their spatial distribution patterns and comprehensive potential grades. The findings reveal the following: (1) The evaluation results exhibit distinct spatial characteristics: high-potential sites, clustered near transport hubs and policy-supported zones, demonstrate multi-dimensional advantages, while low-potential sites, constrained by aging demographics, poor accessibility, and ecological vulnerability, are predominantly located on the urban periphery. (2) Correlation analysis between potential grades and various evaluation indicators, combined with a cross-comparison of population shrinkage levels and average values of other evaluation indicators across different potential grades, reveals that neither the population shrinkage index nor the elderly population proportion exerts a systematic negative impact on industrial brownfield regeneration potential. This finding indicates that within specific urban development contexts, brownfield regeneration potential is influenced more by structural factors such as locational conditions, policy support, and ecological service functions than by singular demographic trends. This research provides both theoretical foundation and decision-making support for differentiated brownfield regeneration and spatial governance in population-shrinking cities. Full article

This paper investigates the risk determinants and spatial patterns of tax revenue loss due to illicit tobacco consumption across the 27 EU Member States from 2017 to 2022. Using a panel dataset covering economic, demographic, social, political, and behavioral dimensions, we apply principal component analysis to identify key factors associated with revenue loss, and hierarchical clustering to group countries with similar risk profiles. Geographic Information Systems visualize the spatial heterogeneity of fiscal vulnerabilities. Findings reveal that institutional and economic stability, international trade and market share, socio-economic inequality and tax burdens, health and well-being, demographic aging and social dynamics, tobacco taxation policy, and labor dynamics and shadow consumption structure the patterns of tax loss risk. Findings also highlight significant differences among Member States, emphasizing the multidimensional nature of fiscal risks. Full article

Mountainous and sparsely populated regions in Europe—here called “cold lands”—are particularly exposed to global megatrends such as climate change, demographic shifts, and economic restructuring. Addressing these interconnected challenges requires approaches that link foresight with local governance systems. This study presents a pilot methodological framework that integrates Ostrom’s Social-Ecological Systems (SES) model with the European Commission’s Megatrend Assessment method to support participatory foresight. The framework was tested in two illustrative cases, located in the Italian Alps and Norway, to demonstrate its feasibility and potential value. Through a structured discussion among researchers, key megatrends were prioritised, and qualitative scenarios were developed to explore how community preparedness can influence socio-ecological outcomes. The results highlight climate change, resource scarcity, and demographic imbalances as dominant drivers, while contrasting scenarios illustrate how proactive governance can mitigate vulnerability and foster adaptive capacity. The approach contributes a replicable and scalable foresight tool to bridge global trends and local sustainability strategies, supporting anticipatory and community-based governance in vulnerable territories. Full article

Adolescent girls and young women (AGYW) in South Africa remain disproportionately affected by HIV due to a complex interplay of structural, social, and gender-based vulnerabilities. This study explored the experiences of AGYW who participated in a group-based HIV prevention intervention in three low-socio-economic communities—Soweto, Alexandra, and Orange Farm—in Gauteng Province, South Africa. The intervention integrated economic strengthening with HIV prevention education, delivered through structured, mentor-led group sessions. Using qualitative methods, in-depth interviews were conducted with 18 AGYW aged 15–24 to examine how participation empowered them to reduce HIV-related risks. The findings reveal that the intervention significantly enhanced participants’ self-awareness, assertiveness, and knowledge of Sexual and Reproductive Health (SRH), while fostering personal independence, goal setting, and agency. The group-based format also facilitated peer connection and created a safe space for challenging harmful gender norms, improving health-seeking behaviours, and navigating access to SRH services. Mentorship emerged as a critical enabler of impact, providing emotional support and trusted guidance. The study underscores the value of community group-based HIV prevention models that empower AGYW through social, economic, and gender-responsive approaches, offering practical insights for policy and programme design in resource-constrained settings. Full article

The Loess Plateau is one of the most landslide-prone regions in China, where rainfall-induced shallow loess landslides severely constrain regional economic and social development. Therefore, investigating the stability of shallow loess slopes under rainfall conditions is of great significance. Taking Yuzhong County in Gansu Province as an example, this study uses the SINMAP model (Version 2.0) to assess slope stability. The areas of unstable zones under different rainfall intensities were identified, and the spatial distribution of hazard sites was analyzed to evaluate the applicability of this deterministic physical model in the study area. Furthermore, a Personnel Risk Level (PRL) determined by combining population density with the Stability Index (SI, defined as the probability that the factor of safety exceeds 1: SI = Prob (FS > 1)) was proposed and applied to assess the potential impact of landslides on local residents. The novelty of this study lies in three aspects: (1) targeting Yuzhong County (a loess region with scarce comprehensive landslide risk assessments) to fill the regional research gap, (2) quantifying PRL through a modified hazard index (HI = population density × (1/SI)) to achieve spatialized risk mapping for vulnerable populations, and (3) systematically analyzing the dynamic response of slope stability to five gradient rainfall intensities (from light rain to severe rainstorm) and verifying model sensitivity to key parameters. The results show that as rainfall intensity increases, stable areas gradually decrease while unstable areas expand, with stable zones progressively transforming into unstable ones. Greater rainfall intensity also leads to an increase in the number of landslides within unstable zones. The proposed PRL helps delineate the severity of hazards in different townships, providing new references for mitigating casualties and property losses caused by landslides. Full article

This study explores the impact of financial technology (Fintech) on economic, social, and environmental sustainability in Saudi Arabia using survey-based empirical evidence. Using ordinal logistic regression, the results provide evidence of a positive and significant role of fintech adoption in each of the three areas of sustainability. On the economic front, fintech fosters financial inclusion, bank efficiency, and sector diversification. Socially, it promotes equality by providing greater access to financial services for vulnerable groups like women, youth, and SMEs, as well as creating new job opportunities. Environmentally, fintech reduces the environmental footprint of financial transactions and funnels capital into green initiatives, as outlined in Saudi Arabia’s Vision 2030 aspirations. The findings have important policy and managerial implications, suggesting that banks should include fintech as a strategic source of sustainable development, while policymakers must implement enabling regulation and incentives to encourage innovation. Cross-country analysis within the GCC and examination of moderating variables such as institutional quality and corporate governance could form part of future research. Full article

Traditional rural settlements face challenges such as external disaster disturbances and increasing morphological vulnerability during the modernization process. Analyzing the morphological resilience of settlements and their external disturbances is crucial for enhancing the sustainable development of traditional villages. This study constructs a “cell–chain–form” framework for evaluating the morphological resilience of rural settlements, based on three biological models. It systematically analyzes the static morphological resilience performance of several typical villages in southern Shaanxi and identifies disturbance factors within the dynamic real-world context. The research methodology includes the use of GIS spatial analysis to calculate resilience indices, hierarchical analysis (AHP) for calculating disturbance indices, and GIS natural break methods for initial classification of resilience. Furthermore, structured questionnaires and SPSS27.0 statistical software were used to assess disturbance factors, followed by the proposal of classification strategies. The results show the following: (1) The construction of the “cell–chain–form” research framework from a bionic perspective provides strong explanatory power for morphological resilience assessment, validating the potential of this research paradigm; (2) Significant differences in morphological resilience were found across sample villages in terms of building layout (“cell”), road network systems (“chain”), and boundary morphology (“form”), with disturbance impacts varying by village; (3) Combining index calculations and questionnaire analysis, it was found that, overall, policy, ecological, and economic disturbance factors have a significantly greater impact than social and cultural factors, with the former serving as the main driving forces and the latter playing an auxiliary role. This study provides a new bionic perspective and theoretical support for strategies aimed at improving the morphological resilience of rural settlements, and offers new insights and methodologies for future research on sustainable rural development. Full article