Search Results (6)

This study is based on the theory of social embedding and selects the entrance community of Baoping County in the Giant Panda National Park as a case to explore the five core dimensions of cognitive embedding, relational embedding, structural embedding, institutional embedding, and cultural embedding and their mechanisms of influence on pro-environmental behaviors (mainly the five dimensions discussed). The study constructs a “stimulus—organism—response” (S-O-R) model, introduces two mediating variables, tourism impact perception and place attachment, and conducts empirical analysis based on 326 valid questionnaire responses using structural equation modeling. The results show that all dimensions of social embedding have a significant positive impact on pro-environmental behaviors, but the mechanisms and transmission paths vary. Each dimension indirectly influences pro-environmental behaviors through the chain path of “tourism impact perception → place attachment.” The study reveals the key role of social relationship networks, tourism perception, and emotional belonging in stimulating environmental behaviors and emphasizes the need to systemically enhance residents’ ecological responsibility awareness and action willingness through community co-construction, optimization of tourism benefits, and cultural atmosphere creation. Full article

To achieve the objective of a “15 min living circle” for educational services, this study develops an integrated method for primary school site selection in Tianjin, China, by combining multi-source data and ensemble learning techniques. At a 500 m grid scale, a suitability prediction model was constructed based on the existing distribution of primary schools, utilizing Random Forest (RF) and Extreme Gradient Boosting (XGBoost) models. Comprehensive evaluation, feature importance analysis, and SHAP (SHapley Additive exPlanations) interpretation were conducted to ensure model reliability and interpretability. Spatial overlay analysis, incorporating population structure and the education supply–demand ratio, identified highly suitable areas for primary school construction. The results demonstrate: (1) RF and XGBoost achieved evaluation metrics exceeding 85%, outperforming traditional single models such as Logistic Regression, SVM, KNN, and CART. Validation against actual primary school distributions yielded accuracies of 84.70% and 92.41% for RF and XGBoost, respectively. (2) SHAP analysis identified population density, proximity to other educational institutions, and accessibility to transportation facilities as the most critical factors influencing site suitability. (3) Suitable areas for primary school construction are concentrated in central Tianjin and surrounding areas, including Baoping Street (Baodi District), Huaming Street (Dongli District), and Zhongbei Town (Xiqing District), among others, to meet high-quality educational service demands. Full article

Background: Weight bias in healthcare can affect the quality of care and create health disparities. In nursing, the presence of weight-biassed attitudes influences the therapeutic relationship and clinical decision-making. However, in Spain, research on this phenomenon remains scarce, hindering the development of strategies to mitigate its impact. Objectives: This study aimed to assess the methodological feasibility of a study on weight bias in nursing, and to explore nurses’ attitudes towards being overweight and obesity and their association with sociodemographic and body image variables. Methods: A cross-sectional, quantitative pilot study was conducted with 22 primary care nurses. The Anti-Fat Attitudes (AFA) and Beliefs About Obese Persons (BAOP) scales, previously validated in Spanish-speaking populations, were applied. Response distribution, the internal consistency of the instruments, and the relationship between variables were analysed. Results: Difficulties were identified in the recruitment of participants and the reliability of certain items of the questionnaire, as well as in the internal consistency of the scales. A trend towards moderate weight-biassed attitudes was observed in the sample, with the highest scores in the AFA’s “Willpower” subscale. The BAOP scale showed a significant negative correlation with the AFA (r = −0.55, p = 0.009), indicating that a lower attribution of obesity to individual control is associated with less discriminatory attitudes. Conclusions: This pilot study helped identify methodological improvements and confirmed the presence of weight bias in nursing. It is recommended that the sample be expanded and the measuring instruments refined before performing the full study. Full article

This study aimed to investigate the relationship between beliefs about obese people and health-related self-care among overweight and obese people, considering sociodemographic aspects. This study adopted a cross-sectional design. The sample consisted of 207 participants selected through a simple random sampling method. The “Beliefs About Obese Persons Scale” (BAOP) and the “Self-Care Agency Rating Scale-Revised” (ASA-R) questionnaires were applied to data collection. The results showed that 82.6% believed that obesity is a condition the individual cannot control, and 74.4% expressed inadequate self-care regarding their health. A multivariate analysis found that belonging to the adult age group increases the probability of presenting adequate health-related self-care by 4.7 times (95% CI = 1.892–11.790) compared to older adults. The belief that obesity is an uncontrollable condition increases the probability of inadequate self-care by 6.3 times (95% CI = 2.360–16.924), in contrast to the perception that it is a controllable condition. Moreover, overweight people are 0.139 times (95% CI = 0.044–0.443) less likely to have adequate self-care compared to people with obesity. In conclusion, being an adult and having the belief that obesity is a condition that can be controlled is associated with adequate health-related self-care, while being overweight is associated with inadequate health care. Full article

The collapse of overlying rocks caused by the instability of residual coal pillars during lower coal seam mining significantly impacts its safety. This paper focuses on the gentle dipping coal seam group and utilizes the discrete element method (DEM) as the basis to comprehensively consider multiple factors through orthogonal experiments. In so doing it reveals the influence mechanisms of various factors on mining at a close distance under a residual coal pillar. Firstly, the process of lower coal seam mining under residual coal pillars in gently-dipping coal seams was simulated and analyzed based on a case study at the Baoping coal mine. Comparing the evolution characteristics of coal–rock fractures, stress changes, and displacement changes during the mining process reveals the mechanism of the joint instability of the lower coal seam, interlayer rock, coal pillars, and overlying strata under the disturbed conditions of lower panel mining. Secondly, an orthogonal simulation experiment was established using the width of the coal pillar and the thickness of the lower coal seam as variables. By comparing the development process of cracks, stress distribution, and rock displacement under different conditions, the research results indicate that the width of coal pillars has an impact on the maximum amount of coal pillar subsidence, while the thickness of the underlying coal seam has an impact on the time of subsidence, when h_d ≥ 4.2 m (h_j/h_d ≤ 4) and w ≤ 14 m (w/h_m ≤ 2), a large-scale collapse of the overlying strata of the coal pillar occurs. Full article

Obesity has reached epidemic proportions. With the increase in the number of obese people, we have also witnessed a rise in the stigmatisation of this population. The aim of our study was to: (I) validate Polish versions of the attitude toward obese people (ATOP) scale, the beliefs about obese persons (BAOP) scale, and translate the obesity risk knowledge scale (ORK–10); (II) analyse the relationship between personality and the knowledge about obesity, as well as attitudes and beliefs towards obese people. Methods: The translation procedure was based on the principles of intercultural validation scales. The study was conducted on a group of 306 individuals, including 189 females and 117 males. Results: The original three-factor structure of the ATOP scale was confirmed in the Polish version. Factor analysis confirmed the one-factor structure of the BAOP scale in the Polish version. A very strong correlation was found between ATOP/BAOP and ORK–10. The correlation of personality with ATOP/BAOP scales was at a low level. Regression analysis indicated that knowledge of obesity risk predicted ATOP and BAOP by more than 58% and 50%, in turn, personality only 20% and 3.7%, respectively. Conclusion: The polish versions of ATOP, BAOP and ORK–10 scales are fully useful measurement tools. The knowledge about obesity risk is associated with beliefs and attitudes about obese people. Full article