Search Results (7,471)

Rapid urbanization has significantly altered land use patterns in Deqing County, placing increasing pressure on its ecosystem. This study establishes a Driving Force–Pressure–State–Impact (DPSI) framework and selects ten indicators to evaluate ecological sensitivity for 2014, 2019, and 2024. It then couples this framework with the PLUS model to simulate land use and ecological sensitivity changes under the following three 2034 scenarios: natural development (ND), ecological protection (EP), and urban development (UD). Results show that ecological sensitivity exhibits a “high west, low east” spatial pattern and it fluctuated with an initial decline followed by a rise from 2014 to 2024, though the overall trend was a slow decrease. Land use type (weight 0.342), distance to rivers (weight 0.191), and distance to roads (weight 0.146) were the dominant influencing factors, together depicting Deqing’s ecological landscape of “western forests, eastern farmlands, and dense water networks”. The PLUS model demonstrated good validation accuracy (Kappa = 0.81), and the contributions of driving factors shifted over time. Multi-scenario simulation indicates that the ecological protection (EP) scenario is more suitable for sustainable urban development. We recommend implementing differentiated ecological control zones, integrating sensitivity evaluation into planning decisions, and improving the differentiated ecological compensation mechanism. Full article

Rainfall-induced instability of highway slopes with a soil–rock binary structure may be strongly influenced by the hydraulic barrier effect of low-permeability shale. This study investigated the right-side slope along the D-ramp section from DK0+230 to DK0+660 at Deze Interchange on the Zhanhui Expressway, China. A two-dimensional coupled seepage–stress model was developed based on the engineering geological conditions and rainfall records to simulate the slope response under a 72 h extreme rainfall scenario with an intensity of 175.6 mm/d. Field displacement monitoring data were used to validate the modeled deformation pattern under natural conditions. Under natural conditions, the reinforced toe zone remained stable, deformation was concentrated along the interface between the block-stone layer and strongly weathered limestone in the middle and rear portions of the slope, and the factor of safety was 1.1344, indicating a basically stable state. During prolonged rainfall, infiltrating water accumulated near the interface between the strongly weathered shale and the underlying shale owing to the hydraulic barrier effect of the low-permeability shale, forming a continuous transient saturated zone. The plastic zone progressively extended from the upper shallow weak interface to the lower deep interface and eventually became fully connected, while the factor of safety decreased to 0.9886, indicating overall instability. The results reveal a coupled mechanism involving interfacial water accumulation, increased pore-water pressure, the formation of a transient saturated zone, and a shift in the controlling zone of slope deformation and failure from shallow to deeper layers. These findings provide a reference for disaster prevention and mitigation of similar soil–rock binary-structure slopes. Full article

Rainfall-induced seepage instability is a major concern for internal waste dump slopes in cold-region open-pit coal mines, where slope performance is influenced by groundwater conditions, moisture state, and seasonal temperature variations. This study investigates the internal waste dump slope of the Chaoyang open-pit coal mine and evaluates its seepage and stability responses under prescribed moisture and temperature states before and after rainfall, together with the effectiveness of drainage control. Soil specimens with moisture contents of 14%, 17.6% (natural), 23%, and 26% were tested at ambient temperature, −5 °C, and −15 °C by uniaxial compression and direct shear tests. The mechanical parameters measured under the prescribed moisture and temperature states were assigned to a GTS NX seepage–stability model. Twenty-four parametric cases, comprising four moisture contents, three temperature states, and pre- and post-rainfall conditions, were evaluated using the strength-reduction method, and an HDPE perforated drainage scheme was subsequently assessed. Under the ambient-temperature parameter state, increasing specimen moisture content from 14% to 26% reduced the pre-rainfall factor of safety from 1.41 to 1.18 and the post-rainfall value from 1.38 to 1.17. Parameter sets obtained from low-temperature-conditioned specimens produced higher calculated factors of safety; however, these cases represent prescribed mechanical states rather than the actual winter condition of the full-scale slope. Under the idealized drainage boundary, the pre- and post-rainfall factors of safety increased from 1.22 and 1.18 to 1.40 and 1.39, respectively. The results demonstrate the relative effects of laboratory-derived mechanical parameters, rainfall-induced seepage, and idealized drainage under the prescribed scenarios. Full article

Background/Objectives: Human teeth naturally fluoresce due primarily to organic components within dentine, contributing to their vitality and appearance under ultraviolet (UV) light. Contemporary resin composites increasingly incorporate fluorescent agents to reproduce this property and improve aesthetic integration with natural dentition. This narrative review examines the fluorescence characteristics of natural teeth and direct resin composites, evaluates methods used to assess dental fluorescence, and identifies factors influencing fluorescence stability and biomimetic performance. Methods: Peer-reviewed studies published between 2004 and 2025 investigating fluorescence in human teeth and direct resin-based composites under UV, visible or infrared illumination were reviewed. Studies focused on indirect restorative materials, non-human specimens or caries detection alone were excluded. Results: Natural teeth generally exhibit fluorescence emission peaks between 410 and 500 nm, with dentine demonstrating greater fluorescence intensity than enamel. Composite resins commonly incorporate rare-earth oxide fluorophores and often display similar emission wavelengths (approximately 450–485 nm), although fluorescence intensity varies considerably among brands and shades. Material fluorescence is influenced by composition, aging and environmental exposure. Spectrofluorometry provides highly accurate quantitative assessment, whereas photographic and quantitative light-induced fluorescence (QLF) methods offer greater clinical applicability. Despite advances in fluorescence mimicry, variability among contemporary materials generally continues to permit differentiation from natural tooth. Conclusions: Although substantial progress has been made in reproducing natural tooth fluorescence, significant variability and temporal instability remain among contemporary composite materials. Fluorescence-based methods therefore remain useful for restoration identification. However, continued improvements in biomimetic performance may reduce their future effectiveness. Greater standardisation of fluorescence assessment and investigation of alternative detection approaches are needed to support clinical and forensic applications. Full article

To address seed contamination, narrow-row mechanized cutting difficulties, and potential damage to maternal plants in muddy paddy fields during hybrid rice seed production, a walk-behind self-propelled hybrid rice male parent pulverizing and cutting machine was designed. The machine primarily consists of three key structures: a key cutting device, a gravity-free crop dividing device, and a crawler walking mechanism. The cutting device features an innovative mechanism where main-shaft rotation drives flail blades into inertial autorotation, while a stopper bar physically constrains their maximum swing amplitude to guarantee a 500 mm working width. Crucially, the gravity-free crop dividing device safely pushes aside adjacent maternal plants to effectively prevent accidental mechanical injury. A flexible plant model and a kinematic model were established using DEM software EDEM 2024. A three-factor, three-level orthogonal experiment indicated that the primary order of influence on the male parent cutting rate is forward speed > flail-blade rotational speed > blade arrangement. The optimal simulation parameters were a 0.4 m/s forward speed, a 1700 r/min blade rotational speed, and a straight–curved blade arrangement, yielding a simulated cutting rate of 97.60%. Furthermore, field tests demonstrated that under these optimal parameters, influenced by complex paddy conditions and natural plant lodging, the actual average cutting rate was 91.39%. The machine exhibited excellent passability and pulverizing performance, thoroughly satisfying the requirements of agronomic and agricultural machinery integration. Full article

Elevated potentially toxic element (PTE) contents in soils can pose important environmental concerns, particularly in regions where natural metal enrichment associated with ultramafic and mineralized geological settings overlaps with potential anthropogenic inputs. This study evaluates the distribution, enrichment, and probable controls of As, Ni, Co, Cu, Cr, Pb, and Zn in 35 geo-referenced soil samples from the Ortaklar region, Türkiye, with the aim of providing a geochemical basis for environmental monitoring and sustainable land management. PTE contents were determined by ICP-MS (inductively coupled plasma mass spectrometry), and their degree of enrichment was evaluated using the geo-accumulation index (I_geo), contamination factor (CF), and pollution load index (PLI), supported by correlation analysis and multivariate statistical approaches. Mean contents decreased in the order Ni (1972 mg kg⁻¹) > Cr (924 mg kg⁻¹) > Cu (290 mg kg⁻¹) > Zn (188 mg kg⁻¹) > Co (122 mg kg⁻¹) > As (15.9 mg kg⁻¹) > Pb (6.8 mg kg⁻¹). Ni exhibited the highest degree of enrichment and was the dominant contributor to the overall PTE load, while Cr, Cu, and Co also showed substantial enrichment. Mean I_geo values indicated moderate to heavy enrichment for Ni (2.65) and As (2.36), and moderate enrichment for Cr (1.45) and Co (1.02). The mean PLI value of 6.99 indicates a substantial cumulative enrichment of PTEs relative to the adopted reference values. Strong associations among Ni, Cr, and Co are consistent with a dominant geogenic contribution from ultramafic/serpentinitic parent materials and their weathering products, whereas the distributions of As, Cu, and Zn suggest more complex controls involving lithology, mineralization, and potentially localized agricultural or other anthropogenic inputs. However, these statistical relationships indicate probable controls rather than definitively establishing elemental sources. The elevated total PTE contents and contamination indices identify the Ortaklar soils as requiring continued geochemical monitoring; nevertheless, they do not constitute direct evidence of human-health risk because metal speciation, mobility, bioavailability, and exposure pathways were not investigated. The findings provide a regional geochemical framework for distinguishing natural PTE enrichment from anthropogenic influences and for guiding future mineralogical, bioavailability, and spatial investigations in ultramafic and mineralized soil environments. Full article

Atherosclerosis is a complex, multifactorial disease and the leading underlying cause of cardiovascular morbidity and mortality worldwide. Beyond traditional risk factors, growing evidence highlights the critical role of environmental exposures in modulating atherogenesis. In real-world scenarios, individuals are exposed to complex mixtures of contaminants, including particulate matter, toxic metals, pesticides, polycyclic aromatic hydrocarbons, and endocrine-disrupting chemicals. These combined exposures may exert additive, synergistic or antagonistic effects, resulting in biological responses that cannot always be predicted from single-agent exposures. At the cellular and molecular level, both chemical mixtures and environmental co-exposures converge on key pathogenic pathways, including oxidative stress, endothelial dysfunction, chronic inflammation, and lipid dysregulation. These processes may favor monocyte recruitment, foam cell formation, vascular smooth muscle cell remodeling, and plaque instability. Moreover, cumulative exposures are associated with epigenetic alterations, such as dysregulation of DNA methylation and non-coding expression patterns, which may influence long-term susceptibility to atherosclerosis. This structured narrative review synthesizes evidence from 37 studies investigating the cellular and molecular mechanisms underlying the impact of environmental mixtures and multipollutant co-exposures on atherosclerosis. By integrating evidence from epidemiological, toxicological, experimental, bioinformatics and multi-omics studies, while recognizing the predominantly associative nature of the available human evidence, we highlight emerging mechanistic insights and discuss the relevance of mixture-based approaches for improving risk assessment and informing future preventive strategies. Full article

Urban resilience (UR) is shaped by multiple interacting factors, yet existing studies have paid limited attention to the differentiated nonlinear and interactive mechanisms across different resilience dimensions. Based on panel data from 110 prefecture-level and above cities in the Yangtze River Economic Belt (YREB) from 2015 to 2024, this study adopts a four-dimensional framework covering social, economic, ecological, and infrastructure resilience. Spatial analysis and the XGBoost-SHAP model are combined to examine the spatiotemporal evolution, key drivers, nonlinear responses, turning point characteristics, and factor interactions of overall UR and its four dimensions. The results show that overall UR increased steadily, while the four dimensions followed distinct evolutionary trajectories: economic and infrastructure resilience improved most rapidly, ecological resilience increased steadily, and social resilience improved relatively slowly. The importance and effects of key drivers also varied across overall resilience and its four dimensions. Major factors, including technological investment, non-registered population, unemployment insurance coverage, land use, and natural population growth, exhibited distinct nonlinear responses and turning point characteristics, with their effects changing across different variable levels. Furthermore, significant interactions were identified among population and industrial structure, population and transportation, industry and technology, and industry and social security across different resilience dimensions. Overall, UR in the YREB is characterized by differentiated development, nonlinear responses, nonlinear transition patterns, and joint influences of multiple factors. Full article

Urban streets are critical public spaces that support residents’ daily psychological recovery, and their landscape quality is directly related to pedestrians’ physical and mental well-being. In the rapid urbanization process, numerous urban streets have exhibited problems such as excessive building density, cluttered visual interfaces, a lack of natural elements, and an absence of regional characteristics, leading to a continuous decline in the psychological restorative capacity of street spaces and failure to meet residents’ demands for a healthy urban environment. Existing research mostly employs qualitative assessment methods to evaluate walking experiences and psychological restoration levels of street environments, lacking high-precision, pixel-level quantification of street landscape elements and rarely incorporating regional cultural elements into the analytical framework of restorative environments. This study takes Foshan, a famous historical and cultural city in China, as the research object, and selects five typical streets in the main urban area, including comprehensive streets, living streets, landscape streets, commercial streets, and historical–cultural streets, to construct a technical route of “data collection–element quantification–model construction–effect analysis.” Leveraging the pre-trained Mask2Former semantic segmentation model and pedestrian-perspective street-view images (SVIs), combined with field research, the study quantifies 22 street landscape elements across five dimensions: environment, transportation, social interaction, facilities, and culture. Through PCA principal component analysis and K-means clustering, 20 typical photos were objectively sampled, and public psychological evaluations were conducted using the Perceived Restorativeness Scale (PRS). A stepwise multiple linear regression model was then employed to construct an exploratory explanatory model for street psychological restoration, identifying key influencing factors and their effect intensities. The results indicate the following: (1) Environmental and cultural elements are the core characteristics associated with pedestrians’ psychological restoration, whereas transportation, social, and facility elements are correlated only with certain restoration dimensions and show no significant association with the overall psychological restoration level. (2) Among the 22 element indicators, the Green View Index showed the strongest positive association with psychological restoration (β = 0.681, p < 0.001); historical memory markers and the Blue View Index also exhibited significant positive associations. (3) By integrating the elements associated with pedestrians’ psychological restoration and their association strengths, an exploratory explanatory model of the psychological restoration benefits of urban street landscapes was constructed, with an adjusted coefficient of determination of 69.8%, accounting for 69.8% of the variation in street psychological restoration levels. The findings establish an exploratory analytical framework and furnish empirical evidence for healthy city planning and street renewal in similar historical and cultural cities. Full article

This study aims to identify the key destination-related factors associated with tourists’ revisit behavior in peri-urban rural areas within Chinese metropolitan regions in the context of short-video marketing, and to reveal the structural relationships and hierarchical characteristics among these factors. First, the LDA topic model was employed to conduct text mining on authentic tourist-generated comments posted on Douyin, through which the core factors related to revisit behavior were identified and conceptually standardized based on tourists’ expressions. Building on this process, 153 experts in relevant fields were invited to evaluate the direction and strength of the relationships among these factors. An integrated DEMATEL–ISM–MICMAC approach was then applied to analyze their causal attributes, hierarchical structure, and systemic roles. The results indicate that the identified factors do not operate independently but instead form a multilayered structure with clear hierarchical characteristics. Among them, rural visual imagery, escape-oriented experience, rural lifestyle experience, and rural industry integration occupy deeper structural levels and exert relatively strong structural influences on factors located at intermediate and surface levels. The findings further suggest that the sustained attractiveness of rural tourism destinations in metropolitan regions cannot rely solely on short-video exposure or isolated “internet-famous” attractions; rather, it requires coordinated alignment among digital communication content, rural industries, lifestyle experiences, and tourism supply. By integrating tourist-generated content, natural language processing, and expert-based structural assessment, this study extends research on short-video tourism marketing from a systems perspective and provides practical insights for peri-urban rural destinations in Chinese metropolitan regions seeking to optimize the structural configuration of tourism resources, products and services, and marketing communication. Full article

Classroom social climate has become a factor of increasing interest within the educational field due to its potential influence on students’ well-being and adjustment. The present study focused on analysing the relationship between the different dimensions of classroom social climate and school resilience in a sample of 609 Spanish secondary education students aged between 11 and 17 years. The Classroom Social Climate Scale (CSC) and the School Resilience Scale (SRS) were used as data collection instruments. The data were analysed using correlations and linear regressions to examine associations while retaining the continuous nature of the resilience scores, complemented by multinomial logistic regressions to examine the probability of belonging to relatively low, medium, or high resilience resource groups. The results showed positive and significant associations between the dimensions Relationship, Interest and Communication with Teachers (RIC) and Group Cohesion and Satisfaction (GCS), and both the Internal Resources and External Resources dimensions of resilience. Linear regression models explained 17.2% and 18.0% of the variance in Internal and External Resources, respectively, whereas multinomial logistic regression models yielded Nagelkerke R² values of 0.160 and 0.190. Furthermore, the GCS dimension appeared to show a stronger predictive contribution to the different dimensions of resilience, particularly for External Resources. The findings suggest that positive peer relationships and group cohesion constitute relevant contextual factors for the development of resilience during adolescence. Full article

The Loess Plateau in China is highly susceptible to frequent landslides and other geological disasters, which have led to substantial losses of natural and human resources and are frequently reported in the news media. Yuzhong County, located east of Lanzhou City, is a mountainous region with considerable development potential. On 7 August 2025, this area experienced a large-scale geological disaster characterized by a compound event involving both landslides and debris flows, resulting in nearly several hundred casualties. With the ongoing urban expansion of Yuzhong County in recent years, the prediction and prevention of geological disasters have become increasingly critical. This study employed three machine learning algorithms—Multiple Logistic Regression (LR), Random Forest (RF), and XGBoost (XG)—to assess landslide susceptibility in Yuzhong County. A total of 169 historical landslide points, supplemented by additional sites identified through field investigations, were compiled, along with 200 non-landslide locations. Multiple environmental factors were incorporated into the models to analyze landslide susceptibility across different areas. Because LR can effectively capture the generalized influence of precipitation variability, it was selected as the primary model for the final susceptibility mapping. To more accurately evaluate the impact of precipitation on landslide occurrence, average seasonal precipitation across the four seasons was used as a predictive factor. To refine the risk assessment at the township level, both raster-based and landslide-unit-based evaluation approaches were adopted. Overlay analyses were then performed by integrating urban infrastructure, population distribution, and predicted landslide hazard zones, while also accounting for the potential influence of extreme precipitation events. The results reveal that the mountainous areas in eastern Mapo Township, southern Xiaokangying Township, southern Xiaguanying Town, and the south-central part of Qingshuiyi Township are high-risk zones prone to group-occurrence landslide disasters. Full article

Aesthetic perception of rural streetscapes reflects individuals’ cognitive responses to their surroundings and is central to understanding how landscape preferences are formed. Existing studies using Scenic Beauty Estimation (SBE) are constrained by incomplete indicator systems and overreliance on linear approaches. This study proposes an interpretable machine learning framework that integrates multi-source data to examine the nonlinear influences of streetscape features on SBE. Using Sanguan Village, a water-networked settlement in Jiangsu, we developed a 24-indicator system spanning color, spatial, natural, artificial, and cultural dimensions. Based on 523 panoramic images and aesthetic ratings from 1175 respondents, we compared OLS, DT, MLP, SVR, RF, and XGBoost models. The best-performing XGBoost, combined with SHAP analysis, revealed threshold effects and interaction patterns among variables. Green visibility, architectural aesthetics, building visibility, sky visibility, environmental coordination, and water are the top six feature variables most strongly associated with rural streetscape aesthetic perception, and each exhibits threshold effects. The saturation threshold for green visibility is 0.153, and architectural aesthetics can only make a positive contribution when its score exceeds 3.815. The appropriate range for building visibility is below 0.452, while the optimal value for sky visibility is approximately 0.194. We also explored the context-dependence of these threshold effects across urban and rural settings. This study proposes streetscape optimization strategies focusing on screening key factors, controlling their thresholds, and coordinating the allocation of streetscape features. The interpretable analytical framework for rural scenic beauty established in this research can facilitate evidence-based landscape optimization and provide scientific support for sustainable rural development and tourism in this case. Full article

Background/Objectives: Periodontitis is a multifactorial chronic inflammatory disease influenced by behavioral, metabolic, and lifestyle-related factors. This study aimed to examine the associations of selected dietary habits, body mass index (BMI), physical activity, smoking, and oral hygiene behaviors with clinical periodontal parameters in a clinical sample of adults with periodontitis from northwestern Romania. Methods: This cross-sectional study included 204 adults with clinically diagnosed periodontitis. Sociodemographic characteristics, smoking status, physical activity, toothbrushing frequency, tooth mobility, and selected dietary habits were assessed using a structured questionnaire. Periodontal status was clinically evaluated using periodontal probing depth (PPD), clinical attachment loss (CAL), and bleeding on probing (BOP), while BMI was calculated from anthropometric measurements. Descriptive and inferential statistical analyses were performed to evaluate associations between the investigated factors and periodontal parameters. Multivariable linear regression models were constructed separately for PPD, CAL, and BOP, simultaneously including age, sex, BMI, smoking status, physical activity frequency, toothbrushing frequency, tooth mobility, education level, and the assessed dietary habits. Results: In the fully adjusted multivariable analyses, fish consumption 1–3 times/week was independently associated with lower PPD, whereas sweets consumption 1–3 times/week was independently associated with higher PPD. Carbonated beverage and sweets consumption 1–3 times/week were independently associated with higher BOP. Although the multivariable model for CAL was statistically significant overall, none of the individual predictors included in the model reached statistical significance. BMI and physical activity frequency were not independently associated with PPD, CAL, or BOP after simultaneous adjustment for the other variables. Age group was significantly associated with CAL category (χ²(2) = 13.28, p = 0.001, Cramér’s V = 0.255), while educational level was significantly associated with toothbrushing frequency (χ² = 62.26, p < 0.001, Cramér’s V = 0.39). Conclusions: Selected dietary habits were independently associated with PPD and BOP after adjustment for demographic, anthropometric, lifestyle, and oral hygiene factors, whereas no individual predictor was independently associated with CAL in the fully adjusted model. BMI and physical activity were not independently associated with the periodontal parameters examined. These findings emphasize the multifactorial nature of periodontal status and suggest that specific dietary habits may be associated with different clinical dimensions of periodontal disease. However, causal relationships cannot be established due to the cross-sectional design of the study. Prospective studies using validated dietary assessment methods are needed to confirm these associations. Full article

Land subsidence in soft-soil urban transport hubs arises from the complex coupling of natural geology and intensive anthropogenic activities, yet its spatial differentiation mechanisms and seasonal drivers remain poorly understood in high-development core areas. This study develops a progressive analytical framework integrating Small Baseline Subset Interferometric Synthetic Aperture Radar (SBAS-InSAR), GeoDetector, Gaussian Mixture Model (GMM), and Singular Spectrum Analysis (SSA) to investigate spatiotemporal deformation patterns and driving mechanisms in the Shanghai Hongqiao Transport Hub Core Area from 2015 to 2024 using 209 Sentinel-1A images. Validation against official subsidence contours yields a Pearson correlation coefficient of 0.697 (p < 0.001) and an RMSE of 4.23 mm, confirming good spatial pattern agreement. Urban functional zones and construction stages are identified as the dominant influencing factors, with their interaction exhibiting notable bi-factor enhancement. Six distinct deformation response types are delineated via GMM, and two opposing seasonal signals are distinguished: near-instantaneous precipitation-driven surface loading on shallow soft soil and temperature-driven thermoelastic expansion of built structures. These findings may inform differentiated subsidence management and offer a transferable workflow for analogous soft-soil urban areas. Full article