Search Results (8,342)

Worldwide, educational systems have shown a growing interest in teachers as inquiry-oriented professionals. The present study reports on a large-scale quantitative study to explore the current involvement of Chinese primary school teachers in inquiry-based working. The latter reflects three forms of activities at both the classroom and school levels, including systematic reflection, using research, and conducting research. Data were collected from a sample of 5566 primary teachers from 114 schools across seven cities. Multilevel analysis results show how primary school teachers feel challenged to engage in inquiry-based working when tackling school-level problems. Several individual-level predictors, such as educational level, research function, and teachers’ perception of research-related courses, could be identified as significant precursors of teachers’ involvement in inquiry-based working. At the school level, significant predictors are related to the location of the school. In this regard, large disparities were found in teacher involvement in inquiry-based working between rural and urban schools. The paper argues that these insights provide implications as to how teacher education and school policy can support primary teachers to become inquiry-oriented professionals. Full article

This study takes the limited household participation in risky financial markets as its point of departure. Drawing on microdata from the 2019 China Household Finance Survey (CHFS), we construct a multidimensional analytical framework using machine learning methods. The results indicate that this limitation arises from the interplay of multiple dimensions, with significant nonlinear relationships observed between these factors and household investment behavior. Insufficient development of key driving factors constitutes the main barrier to participation in risky financial markets. Feature interaction analysis reveals a “reversal effect” in how urban–rural disparities, economic attention, income level, and social engagement shape participation behavior. Educational attainment and financial literacy act as “threshold conditions” that enable economic attention to translate into actual investment decisions. The heterogeneity analysis further shows that households at different life-cycle stages as well as across urban–rural settings exhibit distinct participation patterns. These findings provide data-driven insights that can inform policies to promote financial inclusion, enhance investor education, and strengthen household risk management practices. Full article

With global warming intensifying, urban public spaces in cold-climate regions are increasingly exposed to heat beyond residents’ adaptive capacity. This study investigates whether smartphone use enhances thermal adaptation in Jingyue Central Park, Northeast China. A seven-day field campaign integrating microclimate monitoring and Passive Activity Observation (PAO) collected synchronized environmental and behavioral data. Results show that smartphone users had higher attendance and longer stays under high temperatures. Their Thermal Neutrality Threshold (NTT) and Critical Thermal Threshold (CTT) increased by about 2 °C and 3 °C, respectively, and up to 4.5 °C during optional activities, suggesting that voluntary media engagement improves heat tolerance and adaptive behavior. The study proposes mediated thermal adaptation to describe how digital media co-regulate environmental perception and adaptation. It extends thermal comfort research to cognitive-behavioral dimensions, links UTCI, NTT/CTT, and PAO data within one framework, and provides practical insights for optimizing thermal environments in cold-climate public spaces. Overall, the findings reveal the growing role of media-mediated behavior in enhancing human resilience to thermal stress. Full article

Background: Prostate cancer is a major public health concern in Ghana, where most cases present late and mortality remains high. Community education is essential for improving awareness and early detection. Traditional health talks are widely used, but interactive approaches such as board games have received little evaluation. Aim: To compare the effectiveness of a Social Cognitive Theory–Socioecological Model-based literacy board game (S-S-LIBOG) with a traditional health talk in improving prostate cancer knowledge, attitudes, and perceptions. Methods: A quasi-experimental, two-arm interventional study was conducted in a semi-urban Ghanaian cohort. Participants (n = 197) were allocated to either the board game arm (n = 80) or the health talk arm (n = 61) after accounting for attrition. A structured questionnaire measured knowledge, attitudes, and perceptions (KAP) before and after intervention. Statistical analyses at 5% alpha level included chi-square tests, two-proportion Z-tests, Wilcoxon signed-rank tests, and multivariate logistic regression. Results: Among participants, 29.4% were female, 64.5% male, and 6.1% other genders. Tertiary education was reported by 81.7%, secondary 9.6%, postgraduate 5.6%, and primary 3.0%. Ethnicities: Ewe 41.6%, Akan 26.9%, Northern 13.7%, Ga 6.6%, Guan 1.5%, others 9.6%. Rural dwellers: 29.9%. LIBOG improved ‘good knowledge level’ from 35.0% at baseline to 60.0% post-intervention, compared to 35.0% to 62.3% by the Health Talk (HT). S-S-LIBOG also narrowed gender, education, and lifestyle disparities in KAP, with males showing higher odds of positive attitude (OR = 4.16, p = 0.004) and perception (OR = 2.79, p = 0.047), and rural residents having increased odds of good knowledge (OR = 4.39, p = 0.041) post—its intervention. HT similarly equalized disparities, except for perception, which remained linked to education. The significant improvements in knowledge were (LIBOG: z = 2.85, p = 0.004; HT: z = 3.10, p = 0.002). Even though health talks achieved higher overall knowledge gains, no statistically significant difference in overall effectiveness was observed between the two methods (Wilcoxon W = 102.0, p = 0.107). Acceptability of the board game was high, with over 80% of participants reporting satisfaction. Conclusions: The S-S-LIBOG board game was not inferior to the traditional health talk, showing particular strengths in enhancing attitudes and perceptions. Its interactive and culturally adapted design makes it a feasible adjunct to conventional health education methods. Future studies should examine long-term impacts and application in more diverse populations. This study was retrospectively registered by the Pan African Clinical Trial Registry on 10 October 2025; with the Trial Registration number PACTR202510512711680. Full article

The recent rise in anti-globalization sentiment has renewed interest in how tariffs influence the location decisions of multinational enterprises (MNEs). However, these decisions have also been reshaped by ongoing geopolitical tensions-a factor that remains underexplored in the existing literature. In this study, we construct a panel dataset comprising 283,272 country-country-industry observations spanning the years 2009 to 2021. The data are drawn from the WITS, BvD, World Bank, and GDELT databases. Using fixed-effects regression, fixed-effects logit, and fixed-effects negative binomial models, we examine how MNEs respond to tariffs under varying levels of geopolitical risk. Our analysis yields three key insights. First, in contexts of low or no geopolitical risk, higher tariffs increase the likelihood of international investment by MNEs, consistent with the “tariff jumping” hypothesis. However, under high geopolitical risk, this effect disappears-regardless of tariff levels, MNEs are not more likely to invest abroad. Second, tariff increases can escalate low levels of geopolitical tension between home and host countries, further discouraging international investment. In contrast, high levels of geopolitical risk are not significantly correlated with tariff changes. Third, when low-level geopolitical tensions arise, MNEs may redirect investment to neighboring countries or major trading partners of the host country as a way to access its market indirectly. Full article

In recent years, European cities have experienced rapid changes in their functional and spatial organisation, which have affected, among others, the natural environment, the economy and society. The intensive and often uncontrolled growth of residential development associated with suburbanisation significantly impacts areas located around urban areas. Growing investment pressures usually lead to the transformation of rural and naturally valuable areas, altering their character and functions. Solving these problems requires developing a method to determine the main directions and intensity of land use changes in the context of urbanisation pressures and sustainable spatial development. This article presents the results of a spatiotemporal analysis of the dynamics of built-up area development in rural and suburban zones, utilising Geographic Information Systems (GIS) technology. The study focused on the expansion of single- and multi-family housing around the city of Białystok, Poland, between 1997 and 2022. The analysis was based on spatial data, including available orthomosaics and cadastral data from the Topographic Objects Database (BDOT10k). The GIS-based analysis covered an area of nearly 2000 km² and included methods for change detection, analysis, and land cover classification. The results indicated a marked intensification in landscape transformations, particularly in transition zones between rural and urban areas. At the same time, forests and protected zones significantly influenced the direction and pace of development, acting as natural barriers limiting spatial expansion. The results indicate the need to consider environmental factors (e.g., protected areas and forests) in spatial planning processes and sustainable development policies. The study confirms the high usefulness of GIS tools in monitoring and forecasting spatial change at both the local and regional scales. This research also contributes to the discussion on urbanisation, its characteristics, causes, and consequences, and highlights the role of green spaces in limiting sprawl. Full article

Demand-responsive transit (DRT) is an innovative public transportation model that dynamically adjusts routes based on passengers’ specific demands. While existing studies offer insights into routing, scheduling, and network design, they remain fragmented, with limited integration of user behavior, policy relevance, and sustainability. To address these gaps, this paper develops a scenario-based evaluation framework that synthesizes bibliometric evidence, operational conditions, modeling approaches, and evaluated outcomes. Using CiteSpace, we conducted keyword co-occurrence and clustering analysis. Thematic clusters such as “routing and scheduling,” “network design,” “stated preference,” “public transport,” and “demand-responsive transit” were mapped to a three-tier analytical structure. Scenarios integrate economic, environmental, and social dimensions, enabling comparative insights across urban, rural, and intercity scenarios. The scenario-based approach offers two key advantages: (1) it captures heterogeneity across operational environments, ensuring that evaluation frameworks are not overly generalized. Research shows that urban scenarios emphasize scheduling precision, rural pilots face cost-efficiency but enhance resilience, and intercity services depend on multimodal synchronization. (2) It facilitates synthesis by linking technical models with real-world outcomes, enhancing policy relevance. This study contributes to sustainable transport research by providing a coherent, empirically validated, and conceptually integrated framework for evaluating DRT systems. Full article

Local agri-food markets are a key link in the sustainability and resilience of rural communities, as they merge producers and consumers, create jobs and ensure food security. This paper analyzes the state and perspectives of the development of local markets in rural regions of Russia, relying on demographic, economic, structural and innovation indicators. The results show marked regional differences: in urbanized areas the share of the rural population is low and markets are weak, while in Siberia and the Far East, local markets remain vital, albeit under pressure from depopulation. Structural shifts in favor of plant production, along with worsening price parity, indicate reduced profitability of small producers, but also open opportunities for diversification through processing and branding. Analysis of production concentration shows that sectors with more dispersed production (vegetables, milk) enable greater flexibility and resilience of local markets. Highly concentrated sectors remain vulnerable to market shocks. The findings confirm that local markets can be not only guardians of tradition, but also drivers of modernization and growth. The work thereby makes an empirical contribution to the understanding of the sustainability of rural markets and shows that, with targeted policies that link demographic stability, economic incentives, digital tools and ecological practices, local markets can become a pillar of sustainable development and a significant instrument for strengthening the resilience of the agri-food sector in Russia and beyond. Methodologically, the article applies a mixed approach: (i) quantitative analysis of several sets of statistical data (Rosstat, supplementary FAO/OECD/Eurostat) through descriptive indicators and indices (incl. input/output price parity), as well as cluster typology of regions; and (ii) qualitative mapping of findings to contemporary policies and practices. This framework allows structural trends to be directly linked to implications for local food markets. Full article

Background/Objectives: Introduction: Breast cancer remains a leading cause of cancer morbidity and mortality among women, and timely diagnosis is critical for improving outcomes. Organized screening programs strive to function efficiently, with minimal delays; however, evidence indicates that longer waiting times may be present at different stages of the diagnostic process. Few studies have evaluated how socio-demographic, reproductive, lifestyle, and clinical characteristics may influence diagnostic timeliness in a regional screening context. Materials and Methods: We retrospectively analyzed data from 240 women who underwent breast biopsy following abnormal screening assessment, out of 24,000 patients enrolled in a regional breast cancer screening program conducted in Northeastern and Southeastern Romania. Diagnostic timeliness was observed across three consecutive intervals of the screening pathway: mammography to biopsy (T1), biopsy to histopathological confirmation (T2), and cumulative presentation-to-diagnosis time (T3). Baseline population characteristics were described, subgroup comparisons performed, and multivariable regression models applied to identify independent predictors of diagnostic delay and to explore interaction effects at different stages of the screening process. Results: The interval between mammography and biopsy accounted for the most substantial waiting times (T1 median 24 days). The cumulative time to diagnosis (T3) reached a median of 32 days. Territorial inequalities were the strongest determinant of delay: rural patients experienced approximately five additional days before histopathological confirmation compared with urban patients (p = 0.003). Social vulnerability further contributed to prolonged T1 and T3 intervals, while lifestyle, reproductive, and anthropometric factors showed only minor or inconsistent associations. Interaction analyses revealed that delays linked to rural residence were most pronounced among younger women, an age group at higher risk for aggressive subtypes such as triple-negative breast cancer. Conclusions: In our findings, regional background and social vulnerability outweighed individual risk factors in shaping total diagnostic time. These results support the careful monitoring of interval-specific performance to strengthen equitable access to biopsy among vulnerable populations, where the effectiveness of early breast cancer detection is often challenged. Full article

As a UNESCO World Heritage Site, the Dujiangyan Irrigation District is a key area for Chengdu’s rural revitalisation. However, as the plan progresses, issues have emerged, including loss of traditional features, cultural heritage, and landscape degradation. Within the framework of “landscape information collection—landscape information processing—landscape information output”, the study utilized literature review, field surveys, and remote sensing interpretation to collect data for the years 2000, 2010, and 2020 as time slices. A system of landscape characteristic elements was then built to identify the types of landscape characteristics. The types were determined, and a systematic analysis of the regional landscape’s evolution was conducted. The results indicated that the types of landscape characteristics were classified as follows: Urban Settlement Landscape (8.70–16.10%), Low-Hill Forest Landscape (1.82–3.47%), Village Woodland-Grove Landscape (15.89–44.23%), and Idyllic Agricultural Landscape (36.20–73.59%). Over the last two decades, there has been a steady increase in Urban Settlement Landscape, a slow overall growth trend in Low-Hill Forest Landscape, a rapid growth trend in Village Woodland-grove Landscape, and a rapid decline in Idyllic Agricultural Landscape. Among these, built-up land dominates Urban Settlement Landscape evolution; forest land shapes Low-Hill Forest Landscape; cultivated and built-up land influence Village Woodland-grove Landscape; and cultivated land drives Idyllic Agricultural Landscape changes. Based on the changes observed, the study explored the impact of relevant policies on the landscape characteristics of the study area. Policies for urban-rural integration have encouraged the networked growth of settlement landscapes, creating a system with several centres. Both ecological and economic gains have resulted from forestry practices. Policies that safeguard farmhouse forests have made multifunctional transformation easier. Large-scale farming and ecological agriculture are now linked in a zone established by agricultural modernisation strategies. The study offers scientific references for the protection of regional landscapes and the construction of rural living environments in the irrigation area. Full article

This paper presents an economic–environmental power dispatch approach for a grid-connected microgrid (MG) with photovoltaic (PV) generation and battery energy storage systems (BESSs). The problem was formulated as a multiobjective optimization problem with functions such as minimizing fixed and variable generation costs, power losses, and CO${}_2$ emissions. This study addresses the problem of intelligent energy management in microgrids with PV generation and BESSs to optimize their performance based on multiple criteria. This study focuses on optimizing the Energy Management System (EMS) with metaheuristic algorithms to achieve practical implementation with simpler algorithms to solve a complex optimization problem. This study employs four multiobjective optimization algorithms: Nondominated Sorting Genetic Algorithm II (NSGA-II), Harris Hawks Optimization (HHO), multiverse optimizer (MVO), and Salp Swarm Algorithm (SSA), which are classified as robust techniques for obtaining Pareto fronts. The computational resources employed to simulate the problem are presented. The optimal dispatch obtained from the Pareto front achieved reductions of 0.067% in fixed costs, 0.288% in variable costs, 3.930% in power losses, and 0.067% in CO${}_2$ emissions, demonstrating the effectiveness of the proposed approach in optimizing both economic and environmental performance. The SSA stood out for its stability and computational efficiency, establishing itself as a promising method for energy management in urban and rural microgrids (MGs) and providing a solid framework for optimization in alternating current systems. Full article

Background and Objectives: Influenza is a significant global healthcare problem. Despite the availability of influenza vaccines, vaccination rates remain low, particularly among rural populations. This study aims to investigate the impact of trust and demographic factors on influenza vaccination status among rural populations. Methods: Cross-sectional data were collected as a subgroup analysis of rural populations within a parent study assessing Coronavirus Disease 2019 (COVID-19) vaccination uptake among residents in the state of Alabama, U.S.A. Participants were at least 18 years old and recruited from a Qualtrics panel. Rurality (non-metro) was determined using the United States Rural–urban Commuting Area (RUCA) Codes of 4-10. Data were analyzed using a weighted sample to adjust for differences in sex and race distributions. Results: A little over one-third (37.8%) of the participants reported having received influenza vaccine in the 2023–2024 flu season. Less than half (48.4%) reported they previously received COVID-19 vaccines, and a greater percentage (54.5%) of them had a high understanding of health information. The multivariable logistic regression analysis indicated that prior COVID-19 vaccination, political affiliation, household income and trust in doctors’ communication competency were significantly associated (p < 0.05) with greater influenza vaccine uptake. Conclusions: Improving influenza vaccine uptake in underserved rural communities requires strengthening trust in healthcare providers, addressing access barriers and enhancing communication strategies that reflect sociopolitical influences on vaccination behavior. Full article

Background: Overweight and obesity have emerged as major public health challenges in China, with rising prevalence rates posing substantial burdens on healthcare systems. This study is a secondary analysis of data from the 2019 Chinese National Survey on Students’ Constitution and Health (CNSSCH), aimed to investigate the association of family and individual physical activity (PA) environments with overweight and obesity transition among children and adolescents, and to analyze subgroup differences by sex and urban–rural location as well as potential mechanisms. Methods: This was a one-year longitudinal study based on the 2019–2020 follow-up of 5008 children and adolescents. Family and individual physical activity environments were assessed as main exposures, and transitions to overweight and obesity were defined as outcomes. Multivariate logistic regression was applied to evaluate the association between family and individual PA environments and transitions to overweight and obesity, while also examining their moderating effects on unhealthy lifestyle behaviors. Results: A favorable family and individual PA environment was significantly associated with a reduced risk of obesity transition (OR = 0.78, p = 0.016). Subgroup analyses indicated that males (OR = 0.69, p = 0.009) and rural children and adolescents (OR = 0.70, p = 0.021) were more sensitive to supportive family and individual PA environments. Furthermore, a favorable environment was significantly correlated with a reduction in unhealthy behaviors such as skipping daily breakfast and consuming sugar-sweetened beverages (p < 0.001). Conclusions: A supportive family and individual PA environment was associated with a lower risk of obesity transition in children and adolescents, with more pronounced associations observed among males and those in rural areas. Full article

Exploring the spatiotemporal patterns of cultivated land conversion to non-agricultural uses and their evolutionary driving mechanisms is of significant importance for regional cultivated land protection and food security. This study utilizes time-series land use datasets, DEM, meteorological data, and statistical yearbook data to construct an assessment model for the rate of cultivated land conversion to non-agricultural uses. Based on this model, the study conducts spatial autocorrelation analysis and locational gradient analysis to systematically investigate the characteristics and driving mechanisms of cultivated land conversion to non-agricultural uses in Jiangsu Province from 2000 to 2023. The study revealed several key findings: (1). The total area of cultivated land in Jiangsu Province has demonstrated a trend of ‘initial continuous decline followed by a slight recovery after 2015.’ Spatially, it exhibits a distribution pattern characterized by ‘continuous reduction around urban areas, with relative stability in the northern core regions’. (2). The temporal pattern of cultivated land conversion to non-agricultural use in Jiangsu Province follows a trajectory of ‘rapid expansion (2000–2015) followed by a gradual slowdown (2015–2023),’ with significant gradient differences observed spatially (‘Southern Jiangsu > Central Jiangsu > Northern Jiangsu’). (3). The conversion of cultivated land to non-agricultural use in Jiangsu Province results from the combined effects of natural constraints, socio-economic driving factors, and agricultural policies. Topographical constraints and urban radiation have emerged as the primary spatial conditions promoting non-agriculturalization, with urban expansion identified as the most direct driving factor of cultivated land conversion in recent years. Conversely, agricultural factors have exerted a relatively weaker influence on non-agriculturalization. These research findings provide a significant scientific basis for formulating differentiated cultivated land protection policies across the province, thereby assisting in achieving a balance between food security and coordinated urban–rural development. Full article

Background: Tuberculosis (TB) remains a leading cause of morbidity and mortality, with South Africa among the highest-burden countries. The Eastern Cape is particularly affected due to poverty, HIV co-infection, and weak health systems. Understanding treatment outcomes and their determinants is required to achieve the WHO End TB Strategy targets. The objective of this study was to examine treatment outcomes for tuberculosis (TB) in both rural and urban clinics within the Eastern Cape Province. We aimed to identify the socio-demographic, clinical, and geographic factors that influence treatment success or failure. We included simple geographic visualisations comparing treatment outcomes between the two participating clinics to inform the development of targeted interventions aimed at enhancing TB control efforts. Methods: A retrospective cohort study of 385 TB patients treated at two public clinics in the Eastern Cape (2020–2024) was conducted. Socio-demographic, clinical, and geographical data were extracted from records. Outcomes were classified using WHO and South African National TB Programme guidelines. Logistic regression identified predictors of success, and spatial analysis mapped treatment outcomes. Results: The mean patient age was 40.6 years; 69.1% were HIV-positive, and 89.9% had pulmonary TB. The overall treatment success rate was 63.8%, below the WHO target of ≥85%. Pulmonary TB was independently associated with greater odds of success (aOR = 2.86, 95% CI: 1.23–6.65), while older age predicted poorer outcomes (aOR = 0.98, 95% CI: 0.963–0.998). HIV status and socioeconomic variables were not independently associated after adjustment, although poverty and unemployment were widespread. Spatial mapping showed clustering of poor outcomes in specific clinics, highlighting geographic and health system disparities. Conclusions: TB treatment outcomes in the Eastern Cape remain unsatisfactory. Older patients and those with extrapulmonary TB face higher risks of unfavourable outcomes, underscoring the need for closer monitoring and adherence support. Integrated TB/HIV care, social protection, and geographically targeted interventions are essential to strengthen health systems and reduce inequalities. Full article