Search Results (3,716)

This paper presents a lightweight semantic retrieval framework driven by an in-memory knowledge graph (IMKG) to overcome the limitations of traditional keyword matching and the prohibitive hardware costs of deep learning models in digitizing ancient Chinese literature. By extracting structured metadata from canonical texts, we construct a dense, bidirectional graph schema. Diverging from resource-intensive neural architectures, our system abandons heavyweight vector embeddings in favor of a highly optimized, template-based heuristic matching engine natively implemented in Java. This purely symbolic approach ensures deterministic execution, zero-dependency deployment, and seamless operation on standard CPU-only servers. To handle complex historical inquiries, the framework integrates a context-aware dialogue manager for multi-turn anaphora and ellipsis resolution, alongside a synergistic tiered caching mechanism. Extensive evaluations on a benchmark of 13,652 annotated queries demonstrate that the system achieves an exceptional intent recognition accuracy of 97.14%, robust context retention, and ultra-low response latency (≤17 ms). Ultimately, this architecture provides a sustainable, highly reproducible, and cost-effective paradigm for the semantic exploration of classical textual heritage, exceptionally suited for small-to-medium cultural institutions. Full article

Milltailings deposition areas in abandoned mines are inherently unstable and spatially extensive and heterogeneous, making regional-scale field investigations challenging under intense rainfall. With the advancement of space–airborne remote sensing technologies, large-scale surface deformation monitoring has become feasible. In this study, a 22.02 km² abandoned mine in Lingqiu County, Shanxi Province, was selected as a case site; during the late-July 2023 extreme rainfall event, the site experienced large-scale surface displacements. Surface deformation was interpreted using Sentinel-1 SBAS-InSAR data, combined with differential digital elevation models (DEMs) derived from UAV surveys before and after heavy rainfall. A bivariate spatial autocorrelation analysis was conducted to evaluate the spatial relationship between differential DEMs and InSAR-derived deformation. The results indicate that: (1) SBAS-InSAR revealed significant spatial heterogeneity of ground deformation, with pronounced subsidence observed in the milltailings deposits; (2) the bivariate spatial autocorrelation analysis yielded a Moran’s I value of 0.2, suggesting a weak but positive spatial correlation between the DEM differences and InSAR results, with dispersed correlation patterns; (3) hotspot analysis highlighted notable clustering of deformation, with approximately 27.84% of the study area showing strong deformation responses, while 25.81% represented low–low clusters with limited deformation. Beyond tailings-deposit settings, this workflow is also applicable to the regional investigation of rainfall-responsive deformation and debris-flow-related terrain change on natural slopes under global change, providing technical support for surface investigations and offering insights for disaster early warning and ecological restoration in similar regions. Full article

Neural scaling laws describe how model performance improves as a power law with size, but existing work has focused almost entirely on models above 100 M parameters. The regime below 20 million parameters, where TinyML and edge AI systems operate, remains largely unexamined. We train 90 models spanning 22 K to 19.8 M parameters across two architecture families (a plain ConvNet and MobileNetV2) on CIFAR-100, varying width while holding depth and training protocol fixed. Both architectures follow approximate power laws, with exponents of $\alpha =0.156$ (ScaleCNN) and $\alpha =0.106$ (MobileNetV2). However, the power law does not hold uniformly: local exponents decay with scale, and MobileNetV2 saturates at 19.8 M parameters (${\alpha }_{\mathrm{local}}=0.006$), hitting a data wall. The structure of errors also changes with scale. The Jaccard overlap between error sets of the smallest and largest ScaleCNN models is only 0.35; compression changes which inputs are misclassified, not merely how many. Small models develop a triage strategy, concentrating capacity on easy classes (Gini of per-class accuracy: 0.26 at 22 K params vs. 0.09 at 4.7 M) while effectively abandoning the hardest ones (bottom-5 class accuracy: 10% vs. 53%). The smallest models achieve the lowest ECE values (0.013 vs. peak 0.110 at mid-size), reversing the typical overconfidence–capacity relationship, though this partly reflects a global-mean matching artifact rather than well-calibrated per-bin confidence. On CIFAR-100, aggregate accuracy alone is therefore a misleading basis for edge deployment decisions; validation must happen at the target model size. All findings in this study are based on CIFAR-100 (32 × 32, 100 classes); their generalizability to other datasets, resolutions, and architectures remains to be verified. Full article

Urban railway corridors—including abandoned, redesigned, and in-use lines—can support biodiversity and ecological connectivity in fragmented cities, yet their ecological dynamics and roles in Nature-based Solutions (NbS) remain poorly understood. Addressing this requires a context-sensitive approach that differentiates corridor types and compares their ecological functions. This study compares vegetation dynamics along railway corridors in two cities with contrasting socio-ecological contexts—Perth (Western Australia) and Beijing (China)—using a typology-based comparative approach. The results show that: (1) vegetation dynamics differ fundamentally between the two cities, with Perth characterized by vertically structured vegetation dominated by native tree layers and non-native disturbance-tolerant annual groundcover, while Beijing supports more continuous vegetation with widespread natural regeneration of native species; and (2) these differences correspond to distinct suggested NbS strategies. For Perth, NbS should combine phenology-aware management (wet versus dry seasons) with disturbance-based zoning and staged native planting strategies. In contrast, Beijing corridors are characterized by more uniform disturbance patterns but differentiated corridor typologies, indicating NbS structured around corridor-type management with a stronger emphasis on the support of native groundcover establishment and allowing for self-sustaining regeneration. These findings highlight how different contexts shape vegetation dynamics and provide comparative ecological insights for developing context-specific NbS for urban railway corridors. Full article

Vegetation restoration is critical for ecosystem recovery in abandoned mining areas, yet how restoration age affects soil multifunctionality (SMF) and the underlying microbial regulatory mechanisms remains poorly understood. The space-for-time substitution method was employed in this study. Along a revegetation chronosequence (Restoration 1 year (R1), Restoration 10 year (R10), Restoration 30 year (R30), Restoration 45 year (R45)) in copper mine wasteland in Tongling, China, the dynamics of soil functions, SMF, and microbial communities were quantified, with the key factors influencing soil functions and the most important predictors of SMF subsequently identified. The results showed that the soil moisture regulation function recovered relatively slowly, whereas nutrient cycling functions and SMF were generally enhanced with advancing revegetation. Specifically, these functions all reached their maximum values at R30 (0.39, 0.45, and 0.28, respectively), followed by declines at R45 (−0.74, −0.09, and −0.20, respectively). Furthermore, the soil microbial communities exhibited successional characteristics of increased diversity but reduced dominance. Redundancy analysis indicated that aboveground biomass (AGB), belowground biomass (UGB), and soil total copper were key environmental variables associated with variations in multiple soil functions. Linear regression analysis showed that fungal diversity indices, plant biomass (AGB and UGB), soil total cadmium, and soil total zinc exhibited significant linear relationships with SMF. Random forest analysis further identified UGB, bacterial Simpson index, and fungal Shannon–Wiener index as key predictors of SMF. Importantly, bacterial communities played a more important role in influencing SMF than fungal communities. These results advance the understanding of key drivers of ecosystem functional recovery in mine lands and provide a theoretical basis for optimizing soil function restoration strategies. Ultimately, these findings provide new insights for advancing efforts aimed at halting land degradation and safeguarding biodiversity in degraded mining ecosystems. Full article

In this paper, we investigate the exploration and exploitation capabilities of the Artificial Bee Colony (ABC) algorithm using novel attraction basin-based measures. Previous claims about the ABC’s weak exploitation and exploration capabilities have been scrutinized. These claims are not based on exploration and exploitation measurements and, as such, are questionable. Direct measurements are needed to get real insights into the exploration and exploitation capabilities of any search algorithm. The results show that indirect measurements based on diversity are not appropriate. Our newly developed attraction basin-based measurements allow us to differentiate between exploration types (successful, failed, deceptive, successful rejection) and exploitation types (successful, unsuccessful). Namely, it is not only important that an algorithm is in the exploration phase, but also that promising regions with better solutions are not abandoned and that regions with worse solutions are visited less frequently. Similarly, during the exploitation phase, it is important to discover better solutions in the neighborhood and not exploit in an unsuccessful direction. It has been shown that ABC’s exploration and exploitation capabilities are versatile, and can adapt to different fitness landscapes successfully. Full article

Unused, underutilized, abandoned, and residual urban spaces are increasingly recognized as potential resources for adaptive reuse, ecological improvement, and urban resilience. In this study, such areas are approached through the overarching concept of waste space, a term that captures both their underutilized condition and their transformation potential. While existing research has largely focused on the definition, classification, and emergence of such spaces, their potential for transformation across varying spatial and institutional contexts has received comparatively limited attention. Addressing this gap, this study operationalizes selected social–ecological system (SES) dynamics through spatial analysis in the metropolitan area of İzmir, Türkiye, offering a proxy-based assessment of transformation capacity rather than a direct transformation. Using district-level analysis across ten metropolitan districts, this research combines typological and morphological classification of waste spaces with four spatial indicators: the Density Index, Location Quotient, Shannon Diversity Index, and Typology Dominance Index. The results show that waste spaces are unevenly distributed across İzmir and form distinct district-level configurations shaped by infrastructure expansion, post-industrial transformation, speculative vacancy, and fragmented urban growth. This study concludes that waste spaces cannot be addressed through a uniform regeneration logic. By linking SES dynamics with measurable spatial indicators, the proposed framework offers a context-sensitive, proxy-based basis for indicating transformation capacity of waste spaces and supporting district-specific planning and policy decisions. Full article

In subhumid Mediterranean agroecosystems, runoff drives soil erosion by controlling particle detachment and transport, with its generation and connectivity strongly influenced by land use. In areas affected by land abandonment and reforestation, terracing modifies hillslope morphology and flow pathways, thereby altering soil redistribution patterns. Fallout ¹³⁷Cs has been widely used to assess medium term soil redistribution, and in situ gamma ray spectrometry using scintillation detectors provides an alternative for improving spatial coverage, yet the influence of factors specific to the site on measurements remains insufficiently explored. This study investigates how ¹³⁷Cs counts obtained in situ with a LaBr₃ detector can be used to interpret soil redistribution patterns in two paired catchments that experienced land abandonment since the mid-1960s. Following abandonment, catchment A underwent natural revegetation, whereas catchment B was terraced for reforestation, allowing the effects of water erosion and terracing on soil mobilisation to be analyzed through the spatial distribution of ¹³⁷Cs. By linking ¹³⁷Cs counts with catchment physiography, land use, flow pathways, and NDVI, the study aims to identify the main controls on soil redistribution in both catchments. ¹³⁷Cs counts were significantly higher in catchment A (156.8 ± 108.2 counts) than in catchment B (53.2 ± 68.1), with coefficients of variation of 69% and 128%, respectively. The in situ ¹³⁷Cs measurements provide reliable indicators of soil redistribution patterns controlled not only by runoff but also by anthropogenic modifications of hillslope morphology that alter flow pathways and hydrological connectivity following terracing. The paired catchment approach, combined with in situ ¹³⁷Cs measurements, provides valuable insights into the key controls on soil redistribution, which is essential for effective land management. Full article

Background: Drug use settings are critical determinants of overdose risk and other drug-related harms. Although sex differences in drug use patterns are well documented, less is known about sex differences in the types of locations where people use drugs. This study examined sex differences in drug use settings among people who use opioids. Methods: Data were from the baseline survey of the OASIS project, a community-based study conducted in Baltimore, Maryland (N = 869), focusing on 9 specific types of locations where participants reported drug use in the past 30 days: their own residence, someone else’s residence, street, alley, park, abandoned building, public restroom, car, and other locations. Bivariate and multivariable logistic regression models examined associations between sex and drug use settings, adjusting for age, race, education, homelessness, and frequency of drug use. Results: The sample included 346 women and 523 men. In adjusted models, women had significantly lower odds than men of using drugs on the street (aOR = 0.49, 95% CI 0.35–0.70), in alleys (aOR = 0.50, 95% CI 0.35–0.69), parks (aOR = 0.57, 95% CI 0.42–0.78), abandoned buildings (aOR = 0.53, 95% CI 0.38–0.75), cars (aOR = 0.55, 95% CI 0.41–0.73), and other locations (aOR = 0.59, 95% CI 0.37–0.94). Sex was not significantly associated with drug use at one’s own residence or someone else’s residence. Conclusions: Women who use opioids were significantly less likely than men to use drugs in public and semi-public settings, which may reflect gendered patterns of stigma, interpersonal violence, and safety concerns. Harm reduction programs should focus on making current drug use settings safer and developing additional safer settings with an emphasis on addressing barriers for women to access harm reduction services, including women-centered overdose prevention centers and household-based overdose response training. Full article

In recent years, unmanned aerial vehicles (UAVs) have increasingly become carrying platforms for Earth observation systems equipped with optical, microwave, and other types of sensors, primarily enabling high-resolution observations of above-ground targets. With the development of geophysical methods, bulky instruments originally designed for deep subsurface detection have been progressively miniaturized and made more lightweight, allowing their integration with civilian UAVs and opening new technological avenues for subsurface investigation. We have developed a semi-airborne transient electromagnetic system based on a UAV that is capable of simultaneously obtaining underground resistivity and polarization rate parameters. A survey was conducted over the M’sesa mining area in the Democratic Republic of the Congo. This is a mine pit that has been abandoned for over 50 years and has been flooded to form a lake, making it difficult to detect its deep mineralization potential using traditional ground-based methods. The results clearly delineate the spatial distribution of the Shangoluwe–M’sesa compressional fault and reveal a deep low-resistivity and high-chargeability zone, which provides clues for the exploration of deep deposits. This study will be of significant importance for accelerating the promotion and application of UAV-based semi-airborne electromagnetic exploration technologies. Full article

A significant portion of Europe is prone to flooding, including severe events occurring over very small areas. Recent flood hazard mapping methods can cover large regions, but often fail to capture processes driven by small streams or direct rainfall. This study presents the authors’ experience in the application of a fully hydrodynamic model over an entire territory, with direct rainfall input (rain-on-grid approach at the basin scale). The case study is the Neto River basin in Calabria (Italy), covering approximately 1000 km², a region that represents an ideal natural laboratory for investigating flash flood processes in Europe. Simulations were carried out using the TUFLOW 2D commercial modelling tool. A key objective is to demonstrate that the Chicago hyetograph enables a constant return period across the entire domain. Additionally, specific procedures are proposed to represent numerous minor crossings (e.g., small bridges, culverts, and road and railway underpasses) and dam outlets without refining the computational grid or abandoning the Shallow Water Equations (SWE). This approach allows identification of major river floods, flash floods, runoff-related hydraulic effects, and pluvial flooding. Results show that the fully hydrodynamic rain-on-grid model is highly effective for flood hazard mapping, with strong agreement between simulations and observed events, confirming its predictive reliability and enabling high-resolution, comprehensive territorial analysis. Full article

Wetlands are ecosystems with critical functions. However, the accelerated progression of global urbanization and human activities, including agricultural encroachment, has resulted in a notable decline in wetland areas and the degradation of wetland quality worldwide. Consequently, wetland restoration has become a central focus of wetland research. Plant community characteristics are among the simplest and most frequently used indicators for evaluating wetland restoration progress and are a crucial factor in maintaining the health and stability of wetland ecosystems. Therefore, this study aimed to investigate the plant community characteristics of restored wetlands with different durations of abandonment in the lower Tumen River Basin, which is expected to provide guidance for promoting the restoration of abandoned farmlands in this region. We hypothesize that species diversity decreases with increasing abandonment age, plant community composition converges toward that of natural wetlands over time, and beta diversity declines due to increasing biotic homogenization during succession. We established a chronosequence of abandoned wetlands in the lower Tumen River Basin, with sites abandoned for approximately 5, 15, and 30 years. And we use natural wetlands and paddy fields as references. With natural succession, the dominant plant species in the restored wetlands transitioned from annuals/biennials to perennials. The aboveground biomass initially increased and subsequently decreased. A gradual decline in species diversity was observed along with a further reduction in beta diversity, and the species turnover component consistently exceeded the richness difference component. The pronounced biotic homogenization among communities indicates that achieving a stable state comparable to that of natural wetlands may require considerably more time or may not be attainable solely through natural succession. Full article

Objectives: This study aimed to evaluate the relationship between quiet quitting and burnout among nurses, considering the influence of sociodemographic and occupational factors in healthcare settings. Methods: This cross-sectional, observational, and quantitative study was conducted from April to July 2025 in health services in northern Portugal, involving 1097 nurses who completed a questionnaire, the Silent Employment Abandonment Scale, and the Shirom–Melamed Burnout Scale. Descriptive and inferential analyses examined associations between sociodemographic variables, work context, and outcomes. Results: The 1097 participating nurses showed a positive correlation between overall quiet quitting and total burnout across all domains. Burnout remained significantly associated with overall quiet quitting after adjustment, and physical and cognitive fatigue showed the most consistent independent associations across models. The strongest coefficients were observed for the ‘lack of motivation’ dimension. Conclusions: Quiet quitting was consistently associated with burnout among nurses after adjustment for sociodemographic and occupational factors. The pattern of results was stronger for physical and cognitive fatigue and for lack of motivation, supporting the interpretation of quiet quitting as an important correlation of occupational strain in nursing and reinforcing the need for organizational and leadership strategies that reduce fatigue and sustain professional engagement. Full article

Promoting the effective use of abandoned farmland has become a key policy priority for strengthening food security in China. However, disentangling the decision-making processes among diverse participating actors is a foundational prerequisite for addressing the governance challenge of abandoned farmland utilization. Building on this, the present study employs a four-actor evolutionary game model and sensitivity analysis of key parameters to systematically examine the interactions among four key actors—local governments, village collectives, family farms, and farmers—and to identify the corresponding evolutionarily stable strategies (ESSs) across different stages of abandoned farmland utilization. The results show that: (1) Multi-actor strategic interactions in abandoned farmland utilization exhibit a multi-stage evolutionary trajectory, in which all actors gradually shift their strategic choices under changing cost–benefit structures, regulatory intensity, and coordination conditions, leading to different evolutionary stable equilibria across governance stages. (2) The configuration in which local governments adopt loose regulation, the village collective plays an active coordinating role, family farms pursue long-term operations, and farmers choose recultivation is a key condition for achieving a Pareto-optimal equilibrium. (3) Although farmers’ production willingness and behavioral choices form the basis for the utilization of abandoned farmland, spontaneous individual action alone is insufficient to address the structural contradictions currently facing abandoned farmland utilization in China. To effectively promote the evolution of abandoned farmland governance toward a stable collaborative equilibrium and ultimately realize sustainable utilization, it is necessary to further optimize governmental administrative control models and incentive mechanisms, strengthen the organizational and coordinating functions of village collectives, and improve long-term operational support systems for family farms. This study systematically elucidates the underlying logic of China’s abandoned farmland utilization from the perspective of multi-actor behavioral decision-making, providing policy-referential insights for optimizing policy design, reducing coordination costs, and improving the efficiency of abandoned farmland utilization. Full article

Background: Acute lymphoblastic leukemia (ALL) requires intensive induction, but implementation of pediatric-inspired regimens in low- and middle-income countries is constrained by diagnostic gaps, procurement instability, and limited supportive-care capacity. We evaluated the feasibility, safety, and affordability of a pragmatically adapted pediatric-inspired induction regimen for adults with Philadelphia chromosome-negative Ph(−) ALL in a Pakistani tertiary hospital. Methods: In this prospective single-center cohort study at the Pakistan Institute of Medical Sciences (December 2024–June 2025), consecutive adults aged 18–50 years with newly diagnosed Ph(−)ALL received an adapted pediatric-inspired induction regimen. The primary outcome was complete remission (CR) after induction, with or without extended induction. Secondary outcomes were early mortality, treatment abandonment, grade 3–4 toxicities, and service delivery feasibility indicators. Affordability was assessed against household income. Results: Among 200 adults (mean age 30.3 ± 8.8 years; 65.5% male), 39.5% presented with WBC ≥ 30 × 10⁹/L and 88.0% with platelets < 50 × 10³/µL. CR was achieved in 83.0% of patients. Early mortality was 2.0%, and treatment abandonment was 1.5%. Grade 3–4 toxicities included febrile neutropenia (15.0%) and sepsis (7.5%). The Day-30 evaluability was high (96.5%). Observed out-of-pocket diagnostic costs were USD 119, whereas a guideline-complete diagnostic package would cost USD 929, equivalent to 3–6 months of income for households in the poorest quintile. Conclusions: This adapted pediatric-inspired induction regimen was operationally deliverable in a resource-restricted hospital and produced favorable induction-phase outcomes. Limited diagnostic capacity and a lack of financial protection for testing remain barriers to risk-adapted care. Expanding subsidies for essential diagnostics and stabilizing the procurement of critical agents may yield the greatest implementation gains. Full article