Search Results (18,640)

Understanding students’ attitudes toward science is vital for fostering engagement in scientific fields. This study aimed to adapt and validate the Test of Science-Related Attitudes (TOSRA) for Greek upper-secondary Physics classrooms and explore how attitudes vary by gender, grade, and school location. A translated and culturally adapted version of TOSRA was administered to 662 students (grades 10–11) from urban and rural schools. Five of the original seven factors were retained. Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA) tested the factor structure and reliability. Group comparisons were conducted using t-tests. A 32-item, five-factor structure showed good fit (CFI = 0.969, TLI = 0.966, RMSEA = 0.064) and high internal consistency (α = 0.89 overall). Students reported stronger acceptance of inquiry and enjoyment-related factors compared with leisure and career interest. Boys scored higher on Leisure, 11th graders on Adoption of Scientific Attitudes, and rural students on Career Interest. The Greek TOSRA-Physics is a valid and reliable instrument for assessing science attitudes and evaluating inquiry-based programs. Full article

Truffle hunting in the Piedmontese landscapes of Northern Italy is not merely a foraging practice but a deeply embodied and multispecies relationship grounded in intergenerational knowledge, sensory attunement, and emotional connection to forest ecologies. This study draws on qualitative interviews with local truffle hunters (Trifulau) to examine how socio-ecological transformations driven by land privatization, vineyard expansion, monocultural hazelnut plantations, and tourism disrupt these traditional practices. Thematic analysis reveals five dimensions of transformation: ecological estrangement, dispossession and exclusion, erosion of knowledge transmission, commodification and spectacularizing, emotional and ontological loss. Hunters describe a loss of sensory orientation, access to ancestral commons, and a breakdown of the human–dog forest relational web, accompanied by feelings of grief, alienation, and identity erosion. We argue that these changes undermine ecological sustainability and threaten emotional, cultural, and epistemological sustainability. The findings call for a broadened understanding of sustainability, one that recognizes affective, multispecies, and place-based knowledge systems as vital to sustaining cultural landscapes. This study contributes to debates on rural transformation, non-material heritage, and the invisible costs of commodifying traditional ecological practices in globalizing economies. Full article

Accurate identification of equivalent thermal parameters (ETPs) is crucial for optimizing energy efficiency in residential buildings during winter electric heating. This study proposes a physics-informed neural network (PINN) approach to estimate ETP model parameters, integrating physical constraints with data-driven learning to enhance robustness. The method is validated using real-world measurements from seven rural residences, with indoor and outdoor temperatures and heating power sampled every 15 min. The PINN is compared with linear regression (LR), heuristic methods (GA, PSO, TROA), and data-driven methods (RF, XGBoost, LSTM). The results show that the PINN reduces MAE by over 90% compared to LR, 42% compared to heuristic methods, and 75% compared to pure data-driven methods, with similar improvements in RMSE and MAPE, while maintaining moderate computational time. This work highlights the potential of PINNs as an efficient and reliable tool for building energy management, offering a promising solution for parameter identification within the specific context of the studied residences, with future work needed to confirm scalability across diverse climates and building types. Full article

In recent years, the frequent occurrence of extreme weather events has prompted increased global attention to greenhouse gas emissions. This study analyzes the spatio-temporal evolution of carbon emission intensity (CEI) across land use types in China’s 30 provinces from 2009 to 2022. Based on the data from China Rural Statistical Yearbook, China City Statistical Yearbook, China Energy Statistical Yearbook, China Natural Resources Statistical Yearbook, and China Statistical Yearbook, this study aims to reveal the spatio-temporal differentiation patterns of CEI, analyze the decoupling status between development mode and carbon emissions, and establish a three-dimensional collaborative emission reduction framework. Firstly, employing the carbon emission factor method, provincial carbon emissions, sinks, and net emissions are calculated, with intensity levels derived from gross domestic product (GDP). Secondly, spatio-temporal trends and inter-provincial disparities are analyzed using the decoupling index. The spatial effects among the provinces are investigated based on Moran’s I index. The results show that while the overall CEI has declined since 2009, significant regional disparities persist, with the southern provinces showing lower carbon emission intensities compared to the northern and western regions. The spatial analysis reveals a strong aggregation effect, with provinces clustering into high-high (HH) and low-low (LL) regions regarding CEI. This study concludes with policy recommendations for emission reduction and climate change mitigation, emphasizing industrial structure adjustment, enhanced regional coordination, and optimized land use planning. Full article

Antiretroviral therapy (ART) has significantly improved outcomes in individuals with human immunodeficiency virus (HIV), yet its long-term cardiovascular effects, especially on hypertension risk, remain debated. This pilot study investigated hypertension risk factors in HIV-positive patients undergoing ART and aimed at hypothesis generation rather than drawing definitive causal conclusions. Seventy HIV-infected adults without baseline hypertension were enrolled and followed. Hypertension was defined using the 2017 ACC/AHA guidelines by the South African Hypertension Society. Data on demographic, anthropometric, metabolic, inflammatory, coagulation, and HIV-related variables were collected. Cox regression analysis identified independent predictors of hypertension. Participants had a median age of 37 years (IOR = 10.96), with 84.3% being female. After a median ART exposure of 61.01 months (range: 2–164), 27 individuals (38.6%) developed high blood pressure. In multivariable Cox models adjusting for metabolic syndrome and BMI, age ≥ 35 years was associated with a 2.2-fold higher hypertension risk (Hazard Ratio [HR]: 2.2; 95% Confidence Interval [CI]: 1.04–4.55; p = 0.04). Elevated triglycerides significantly increased risk, with a 7.9-fold higher likelihood of hypertension (HR: 7.9; 95% CI: 1.04–59.5; p = 0.046). ART regimen type, whether initial or current, did not independently predict hypertension. In conclusion, hypertension is prevalent during ART. We hypothesized that traditional cardiovascular risk factors, notably age ≥35 years and hypertriglyceridemia, were key independent predictors, emphasizing the need for routine cardiovascular risk assessment in HIV management. Full article

The environmental characterization of a given region is fundamental for decision-making by public administrators and, consequently, for sustainable development. Regarding water quality, establishing the use of this resource is a priority, as specific parameters must be defined for each type of usage, to determine water quality in that region. The objective of this study was to propose a water quality index for supplying rural communities, given that the most commonly used indices relate to urban water after treatment. To construct the index, water samples were collected over 12 months from 29 sampling points across seven rural centers without the governmental service of treated water. Principal component analysis was used to identify the most representative parameters, and final weights were assigned considering Brazilian regulatory standards. The results obtained revealed a very simplified index with five variables and five usage classes, with scores ranging from simplified to advanced treatment. It is hoped that the proposed index will better guide rural communities and generate improved policies for water resource management in the Brazilian Federal District and support public policy development in rural areas with limited water treatment infrastructure. Full article

This paper presents the development of handmade paper from fique residues, evaluating its technical and environmental viability through a scientific approach aimed at supporting low-income rural communities. The residues were characterized to assess their suitability for papermaking, with fiber crystallinity and chemical structure analyzed using X-ray diffraction (XRD) and ATR-FTIR spectroscopy. Pulps were produced from fique fibers and a 30:70 fique fiber–bagasse blend using a chemical-free mechanical pulping process, designed for easy implementation in rural settings. The effects of dyeing on pulp performance were also examined, and environmental impacts were assessed through a Life-Cycle Assessment (LCA). The average fiber length, diameter, and lumen of fique fibers were 1.83 mm, 26.5 μm, and 17.4 μm, respectively. Handsheets from fique pulp achieved a tensile index of 13.0 N·m/g and a burst index of 1.42 kPa·m²/g, while the fique fiber–bagasse blend reached 11.09 N·m/g and 1.05 kPa·m²/g. The corresponding sheet densities were 0.316 and 0.380 g/cm³. The dyeing process led to a reduction in the mechanical strength of the handmade paper. Environmental analysis indicated that fique tow fiber has a more favorable impact profile than other non-wood alternatives, such as aquatic weed fiber. Compared to results from similar studies, fique demonstrates strong potential as a high-quality, sustainable raw material for artisanal papermaking. These findings support its application in decentralized, eco-friendly production systems, contributing to rural development and circular economy strategies. Full article

Traditional dairy products remain an essential yet underutilized component of Lebanon’s food system. Amid economic instability, supply chain fragility, and heavy reliance on imported dairy inputs (≈80% of demand), these products offer resilient, low-input alternatives rooted in centuries-old practices. This review analyzes key traditional Lebanese dairy products, including Labneh, Labneh–Anbaris, Akkawi, Shanklish, Halloumi, Karishi, Pressed–Brined Karishi (Lebanese Double-Cream), Qishta, and Kishk, using Codex Alimentarius and Tetra Pak classification frameworks. It examines their compositional attributes, milk-to-product conversion efficiency, preservation methods, and economic characteristics. The findings reveal a continuum from high-yield fresh cheeses to lower-yield preserved forms with extended shelf life, demonstrating diversified strategies for food security and resilience. Unlike prior studies focused mainly on composition or culinary aspects, this review integrates classification systems with cultural geography to map Lebanon’s traditional dairy landscape. It highlights strategies grounded in rural milk availability and artisanal know-how, revealing overlooked food system functions. These practices exemplify circular models that valorize whey, minimize waste, and preserve quality without refrigeration, aligning with sustainability goal SDG-12.3. This review calls for integrating these products into national food strategies, regulatory frameworks, and innovation systems, recognizing traditional Lebanese dairy as both cultural heritage and a strategic resource for a more self-sufficient and resilient food sector. Full article

Rural tourism agglomerations are increasingly viewed as catalysts for diversified regional growth, integrated rural revitalization, and improved farmer prosperity. However, most studies focus on urban and developed regions, leaving spatial patterns and evolutionary mechanisms in underdeveloped rural areas poorly understood. This study takes Jilin Province, an economically lagging region, as an example, measuring rural tourism agglomeration using spatial analysis methods including the Gini coefficient, nearest-neighbor index, Ripley’s K function, kernel density, and buffer analysis. Results show that agglomeration is significant and strengthening over time, with clear regional variations. All types of rural tourism products exhibit an “increase followed by decrease” pattern across spatial scales, evolving from isolated “nodes” to continuous “areas”. Agglomeration is subject to triple constraints from natural, economic, and social dimensions. This study suggests that high-quality rural tourism development should leverage point–axis spillover from flagship scenic areas, promote surface expansion of characteristic villages and towns, and strengthen network connectivity through roads and talent-information channels. Full article

The urban heat island (UHI) effect has become a critical environmental issue affecting urban livability and public health, attracting widespread attention from both academia and society. Although numerous studies have examined the influence of urban characteristics on land surface temperature (LST), most have been restricted to single variables or single time points, and the traditional “urban–rural dichotomy” approach fails to capture intra-urban thermal heterogeneity. To address this limitation, this study integrates the Local Climate Zone (LCZ) framework with machine learning techniques to systematically analyze the diurnal variation patterns of LST across different LCZ types in Beijing and explore the interactive effects of urban characteristic variables on LST. The results show the following: (1) Compact building zones (LCZ 1–3) exhibit significantly higher daytime LST than open building zones (LCZ 4–6), with reduced differences at night; high-rise buildings cool daytime surfaces through shading but increase nighttime LST due to heat storage. (2) Blue–green space variables, such as NDVI and tree coverage (T_PLAND), substantially lower daytime LST through evapotranspiration, but their nighttime cooling effect is weak; cropland coverage (C_PLAND) plays a particularly important role in lowering nighttime LST. (3) Blue–green space and urban form variables exhibit significant interaction effects on LST, with contrasting impacts between day and night. (4) Population activity variables are strongly correlated with increased LST, especially at night, when their warming effects are more prominent. This study reveals the relative importance and nonlinear relationships of different variables across diurnal cycles, providing a scientific basis for optimizing blue–green space configuration, improving urban morphology, regulating human activity, and formulating effective UHI mitigation strategies to support the development of more sustainable urban environments. Full article

Toponym groups are fundamental units of quantitative spatial analysis of toponyms. Using suitable technical methods to investigate the spatial distribution and co-occurrence characteristics of these groups has significant implications for identifying cultural regions within geographical spaces and elucidating spatial differentiation and integration of regional cultural characteristics underlying toponyms. Existing research has mainly relied on traditional spatial distribution models such as standard deviation ellipse (SDE) and kernel density estimation (KDE) to analyse the characters used in toponyms. In addition, few quantitative studies exist on the co-occurrence of multiple types of toponym groups from the perspective of words used in toponyms. This study introduced methods, including the local co-location quotient, to propose a general framework for toponymic co-occurrence research and a new toponymic co-occurrence index (TCOI). Data from 64,981 village toponyms in Liaoning Province, China, were used to analyse spatial co-occurrence characteristics of five high-frequency two-character village toponym groups. In addition, two high-frequency single-character toponym groups and three low-frequency two-character toponym groups were used for verification, with a simultaneous comparison of the SDE and KDE methods. The findings indicated that: (1) the proposed general framework and TCOI effectively support toponymic spatial measurement and have good applicability and expansibility; (2) the TCOI enables a more accurate scientific assessment of co-occurrence characteristics of toponymic groups at different scales, thereby enhancing the technical level of toponymic spatial measurement; (3) the TCOI for Liaoning Province was 28.63%, indicating that toponym groups exhibited a partially integrated yet relatively exclusive spatial distribution pattern. The spatial differentiation patterns of rural toponym cultural landscapes in Liaoning Province provide a scientific basis for promoting cultural geography research and strengthening toponym protection. Full article

Under the strategic goal of agricultural modernization, agricultural socialization services have become an important means of enhancing agricultural efficiency and guaranteeing food security. Based on microdata from 3811 farm households in seven provinces, this paper integrates labor force structural characteristics with digital literacy to construct a comprehensive analytical framework and empirically examines their effects on the degree of access to agricultural socialized services (DASS) through ordered logit model and moderated effects models. The results show that labor force characteristics significantly affect DASS, and the higher the degree of feminization, aging, and part-time employment, the higher the degree of access to services; digital literacy as a whole significantly improves DASS for farm households and shows heterogeneous moderating effects under different labor force characteristics. Therefore, this paper suggests formulating differentiated socialized service promotion strategies, deepening the digitalization of agricultural services, strengthening the digital technology training of rural laborers in various ways, enhancing DASS, effectively improving the efficiency of agricultural production, and supporting the dual goals of food security and rural revitalization. Full article

Against the backdrop of urban–rural integrated development, special ecological function zones, as spatial carriers with significant regional ecological value and rural development functions, are confronted with a striking conflict between ecological conservation and regional advancement. This contradiction is comprehensively reflected in the interactions among land use functions (LUFs) that differ in nature and intensity. Therefore, exploring the trade-off and synergy (TOS) among regional LUFs is not only of great significance for optimizing territorial spatial patterns and advancing rural revitalization but also provides scientific evidence for the differentiated administration of regional land use. Taking 185 townships in the Funiu Mountain area of China as research units, this study constructs a land use assessment system based on the ‘Production–Living–Ecological’ (PLE) framework, utilizing multi-source datasets from 2000 to 2020. Spearman correlation analysis, geographically weighted regression (GWR), and bivariate local spatial autocorrelation methods are employed to examine the spatio-temporal dynamics of LUFs and the spatial non-stationarity of their TOSs. The findings indicate that, throughout the research period, the production function (PF) displayed a fluctuating declining trend, whereas the living function (LF) and ecological function (EF) demonstrated a fluctuating increasing trend. Notably, EF held an absolute dominant position in the overall structure of LUFs. This is highly consistent with the region’s positioning as a special ecological function zone and also a direct reflection of the effectiveness of continuous ecological construction over the past two decades. Spatially, PF is stronger in southern, eastern, and northern low-altitude townships, correlating with higher levels of economic development; LF is concentrated around townships near county centers; and high EF values are clustered in the central and western areas, showing an opposite spatial pattern to PF and LF. A synergistic relationship is observed between PF and LF, while both PF and LF exhibit trade-offs with EF. The TOSs between different function changes demonstrate significant spatial non-stationarity: linear synergy was the primary type for PF-LF, PF-EF, and LF-EF combinations, but each combination exhibited unique spatial characteristics in terms of non-stationarity. Notably, towns identified as having different types of trade-off relationships in the study of spatial non-stationarity are key areas for township spatial governance and optimization. Through the allocation of regional resources and targeted policy tools, the functional relationships can be adjusted and optimized to attain sustainable land use. Full article

In the Colombian Amazon, green businesses have emerged as key strategies for sustainable development, yet they face critical challenges such as low organizational capacity, limited innovation, weak institutional coordination, and regional inequalities. This study analyzed the interaction between dynamic capabilities, sustainability, and innovation in 120 green businesses across the departments of Putumayo, Caquetá, and Amazonas, using 111 variables grouped into three dimensions, sustainable development, dynamic capabilities, and innovative performance. The analysis identified three business types: (1) Businesses with Potential, characterized by high levels of innovation, learning, and absorptive capacity; (2) Developing Businesses, with strengths in social, economic, and human capital but limited environmental sustainability; and (3) Limited Businesses, which lag in all three dimensions. Putumayo had the highest proportion of potential businesses, supported by strong institutional coordination through CORPOAMAZONIA; Caquetá stood out in financial inclusion and human capital, while Amazonas faced more structural limitations. The novelty of this research lies in integrating three conceptual frameworks into a territorialized analysis, enabling a deeper understanding of how these dimensions interact across diverse Amazonian contexts. Its main contribution is a functional typology of green businesses, which offers a basis for tailored policy recommendations aimed at enhancing capacities and fostering more resilient and sustainable enterprises. Full article

The study aimed to evaluate regional variation in SARS-CoV-2 transmission and assess associations between public health interventions and the time-varying reproduction number (Rt) across Maine from January 2020 to February 2023. Daily confirmed COVID-19 case counts were adjusted for reporting anomalies and delays using deconvolution. Infection counts were estimated by applying a Poisson-distributed multiplier of 4 to account for underreporting. Rt was estimated using EpiEstim with a 7-day sliding window from January 2020 through February 2023. The analysis of associations between Rt and public health interventions was limited to 2020, concluding just before COVID-19 vaccines became available in Maine in December 2020. EpiEstim was parameterized with an Omicron-specific serial interval distribution (main analysis) and an early-pandemic serial interval distribution (sensitivity analysis). Maine experienced four major COVID-19 waves. Rt values fluctuated but remained close to 1 at both the statewide and district levels. No statistically significant changes in Rt were observed in association with any interventions implemented in 2020. Our findings underscore the challenges of quantifying intervention impacts in rural settings, where low incidence and sparse data can obscure the effects of interventions. This highlights the need for enhanced surveillance tools tailored to the unique constraints of rural public health contexts. Full article