Sichuan Research Articles

Low seismic shaking induced densification of large spoil heap composed with low-density particle material

IntroductionVibration-induced densification of loose particle material is an important phenomenon in deformation and instability study of large spoil heap. To investigate the vibration-induced densification characteristics and deformation mechanisms of a low-density spoil heap under small seismic effects, a spoil heap located in western Sichuan Province was selected as the research subject, and a large-scale shaking table test was performed.MethodsThe settlement and acceleration response behaviors of the slope model during the vibration process were analyzed using three-dimensional point cloud data and acceleration time-history data, with horizontal and horizontal-vertical bi-directional seismic waves applied at progressively increasing amplitudes. Simultaneously, the natural frequency and damping characteristics of the slope model were determined using the transfer function. The deformation and damage modes, as well as the characteristics of vibration-induced densification, were also analyzed and discussed.ResultsThe results indicate that vibration-induced densification of low-density spoil heaps under small seismic forces exists and becomes more pronounced with increasing excitation intensity. This vibration-induced densification leads to a progressively more significant elevation amplification effect.DiscussionDuring the vibration-induced densification process, the medium undergoes self-organization in three phases, including settlement, dynamic equilibrium, and expansion. Based on the experimental observations, the deformation process of low-density spoil heaps can be divided into three stages: settlement and densification, collapse and disintegration, and downward misalignment and slippage. The findings of this study provide valuable insights and recommendations for the prevention and control of low-density spoil heap deformation in future engineering practices.

Sinocrassulaholotricha (Crassulaceae), a new species from Sichuan, China.

A new species of crassulacean acid metabolism, Sinocrassulaholotricha, is described based on specimen collected from Sichuan Province, Southwest China. The new species can be distinguished from its morphologically and phylogenetically related species by the hairy plants and lack of rosette. In the present study, a molecular phylogeny, taxonomic description, distribution information, and photographs of this new species are presented.

Revisiting urban governance in China: The manifestation of entrepreneurial neo-managerialism in shantytown redevelopment in Luzhou

Recently, China’s central government initiated a series of social policies to alleviate social disparities, providing opportunities to revisit state entrepreneurialism, which is known to have long prevailed in China’s urban governance since the economic reform. By probing into a case of shantytown redevelopment in Luzhou, Sichuan Province, we assert the importance of considering state entrepreneurialism in relation to the state’s managerial pursuit. That is, an actually existing mode of urban governance may be characterised by the shifting dynamics between a managerial and entrepreneurial endeavour of the local state. Viewed this way, we argue for the manifestation of what we conceptualise as entrepreneurial neo-managerialism through the analysis of the shantytown redevelopment at the local scale. In the context of a shrinking discretional space under the power recentralisation of the central state that strives to avoid its legitimacy crisis, the local state, while still under the influence of its entrepreneurial logic of land-based accumulation, enhances its managerial role to respond to the top-down demands of social redistribution from the central state, devising a sophisticated redistributive mechanism of resource allocation. Through these findings, we hope to contribute not only to the literature on China’s state entrepreneurialism but also to the broader urban governance literature by resurrecting the importance of the managerial role of the state.

Latent profile analysis of fatalism and its influencing factors among community-dwelling disabled elderly individuals

ObjectiveThis study aims to explore the latent profiles of fatalism among community-dwelling disabled elderly individuals and identify the key factors influencing these profiles. The findings will provide valuable insights for formulating tailored care management strategies for this population.DesignA cross-sectional survey study.MethodsA random sampling approach was used to survey disabled elderly individuals residing in 109 communities across eight urban districts in Sichuan Province. Data were collected through a general information questionnaire and a Fatalism Scale. Latent profile analysis was performed to identify distinct fatalism profiles, and multivariate unordered regression analysis was conducted to assess their influencing factors.ResultsThree distinct latent profiles of fatalism were identified: high fatalism and pessimism tendency (35.6%), moderate fatalism and low optimism tendency (9.6%), and low fatalism with relative optimism tendency (54.8%). Multivariate analysis revealed that living arrangements, number of children, educational level, duration of disability, and self-reported economic stress were significant factors influencing these fatalism profiles.ConclusionThere is significant heterogeneity in fatalism among community-dwelling disabled elderly individuals. Caregivers and healthcare managers can develop more precise and personalized management strategies by considering the different latent profiles and their associated influencing factors.

Impacts of climate change on the suitable habitat of Angelica sinensis and analysis of its drivers in China

Climate change is shifting optimal habitats for medicinal plants, potentially compromising the efficacy and therapeutic value of herbal remedies. Global warming and increased extreme weather events threaten the sustainability and pharmaceutical integrity of Angelica sinensis (Oliv.) Diels (A. sinensis). Despite its importance in traditional herbal medicine, there is limited research on adaptation of A. sinensis to climate challenges. This study systematically collected occurrence data of A. sinensis through field expeditions and online databases, using the Maxent ecological niche modeling tool and ArcGIS software to forecast suitable habitats. A total of 402 species occurrence points and 21 environmental variables were selected for modeling, resulting in 1,160 distribution models, of which only one met the stringent 5% odds ratio (OR) standard. The optimal model exhibited a pROC value of 0, an OR of 0.0196, and an AICc score of 9,287.133. The model, run ten times for robustness, showed an average AUC of 0.980, indicating high accuracy and reliability. Under current climate conditions, suitable habitats for A. sinensis cover approximately 13% of mainland China, primarily in Gansu (73.77%), Qinghai (14.73%), and Sichuan (11.18%) provinces. Environmental factors such as altitude, humidity, and temperature significantly influence the geographical distribution of A. sinensis. The future climate scenario predictions suggest that suitable habitats will generally shift towards higher latitudes, with areas of moderate to high suitability primarily distributed across the provinces of Gansu and Qinghai. The interactions between environmental factors, characterized by mutual and nonlinear enhancement, further influence the spatial differentiation of suitability zones. Overlay analysis with 2020 land cover data indicated that 861,437 km² of arable and forest land are suitable for A. sinensis cultivation. Future predictions under four SSP scenarios show varying changes in suitable habitat areas, with the most significant expansion under SSP370 between 2080 and 2100, covering 14.54% of mainland China. These findings provide critical insights for optimizing A. sinensis cultivation regions and quality assessments in response to climate change.

Influence of Ventilation Parameters on Gas Transportation Patterns in Long Highway Tunnels and Sustainable Development of Ventilation Systems

In order to study the influence of ventilation parameters on gas movement in large sections of highway tunnels, a mathematical model of gas movement in tunnels is established based on the Yijin Expressway’s Kahaluo No. 1 three-lane tunnel project in Sichuan Province, by using Fluent numerical simulation software to simulate gas tunnel construction. The space–time distribution characteristics of the gas concentration in tunnel construction are obtained, and the influence of ventilation parameters on gas movement is analyzed, the ventilation parameters of the tunnel construction site were optimized. The results show that after ventilation for 20 min, the flow field in the tunnel gradually developed and stabilized, and the gas concentration developing area finally extended to the 45 m position behind the working face, and the gas in the 9 m area behind the face mainly accumulated at the different side of the arched feet of the air duct. Ultimately, the internal flow field structure of the tunnel is mainly composed of a vortex zone (within 10 m in front of the tunnel), a development zone (10–50 m in front of the tunnel), and a stable zone (50–200 m in front of the tunnel). Under the background of the project, the optimal ventilation parameters are as follows: wind velocity 12 m/s, duct diameter 2.0 m, distance from outlet to working face 8 m, and distance from outlet to secondary lining trolley 24 m. According to the optimal ventilation parameter combination, the ventilation system of Cahalo No. 1 tunnel was optimized. It was found that the gas concentration in the tunnel decreased obviously with the increase in ventilation time. The above research further improves the gas tunnel ventilation study, which is of great significance in guiding the site to optimize the ventilation system and guaranteeing the sustainable development of the tunnel ventilation system.

A study of the mediating effect of self-perceived burden between meaning in life and dignity in disabled patients based on a dignity theory model

ObjectiveTo explore the mediating role of self-perceived burden between meaning in life and the level of dignity in patients with disability.MethodsFrom July to October 2023, 229 disabled patients in a tertiary hospital in Sichuan Province, China were selected and surveyed using the Self-Perceived Burden Scale, Meaning in Life Questionnaire, and Patient Dignity Inventory.ResultsThe levels of self-perceived burden, meaning of life, and dignity of the disabled patients were 23.55 ± 9.83, 46.27 ± 9.71, and 43.38 ± 22.04 points, respectively. Self-perceived burden was positively correlated with the level of dignity (r = 0.460, p < 0.001), and meaning in life was negatively correlated with self-perceived burden and the level of dignity (r = −0.325, r = −0.526, both p < 0.001). The results of structural equation modeling showed that the total effect of the meaning in life of disabled patients on the level of dignity was −1.1945, the direct effect was −0.9559, and the indirect effect was −0.2386, with the indirect effect accounting for 19.98% of the total effect.ConclusionSelf-perceived burden partially mediated the relationship between the meaning of life and the dignity of patients with incapacitation. Caregivers should pay attention to the level of patients’ self-perceived burden and actively cooperate with treatment and control of disease development as the current goal of life to enhance patients’ meaning of life and improve the loss of dignity.

Evaluation of Heavy Metal Contamination from Large-scale Swine-Farming Wastewater in Sichuan Province, China: Removal Efficiency, Spatial Distribution and Risk Assessment.

The widespread application of swine-farming wastewater to soil and water is increasingly contributing to heavy metal contamination, posing significant environmental risks. This study investigated the concentrations of eight heavy metals in swine-farming wastewater following different treatment processes, and assessed their ecological risks in Sichuan Province, China. The findings revealed that zinc, copper and nickel exhibited the highest concentrations, potentially causing heavy or strong contamination levels and leading to heavy or slight ecological risks. Advanced treatment processes employing physical-chemical, biochemical and ecological technologies, significantly reduced heavy metal concentrations compared to anaerobic fermentation, mitigating the widespread and severe ecological risks in Sichuan. However, the utilization of biogas slurry poses a high potential for severe ecological risks associated with heavy metals, particularly in the Panxi and Northwest regions. To control the ecological risks of heavy metals, advanced treatment processes should be strongly recommended alongside diverse resourceful utilization strategies tailored to large-scale swine farms in different regions of Sichuan Province.

Soil Comprehensive Fertility Changes in Response to Stand Age and Initial Planting Density of Long-Term Spacing Trials of Chinese Fir Plantations

The growing demand for wood products and ecosystem services in Chinese fir plantations has led to longer rotation ages and density control practices, raising concerns about their impact on soil fertility. This study assessed soil fertility of Chinese fir plantations in Fujian, Jiangxi, and Sichuan Provinces using the Nemerow index. The effects of stand age and initial planting density on soil fertility were analyzed using statistical models. In Fujian and Jiangxi, soil fertility was significantly higher at 11 and 30 years than at 5 and 25 years, while in Sichuan, it was higher at 25 and 30 years than at 5 and 11 years. In Fujian, soil fertility was higher at 6667 trees ha⁻2 than at 1667 trees ha⁻2. No significant differences were observed in Jiangxi, while in Sichuan, soil fertility at 6667 trees ha⁻2 was significantly higher than at 5000 and 1667 trees ha⁻2, and soil fertility at 10,000 trees ha⁻2 exceeded that at 1667 trees ha⁻2. Soil fertility typically increased with stand age, especially in Fujian and Sichuan. Soil fertility also increased with initial planting density, especially in Jiangxi and Sichuan. A structural equation model (SEM) explained 88% of the variance in soil fertility, with stand age directly affecting soil fertility and soil organic matter mediating the effects of stand age and planting density. These findings suggest that adjusting rotation age and planting density could help improve soil fertility, offering practical implications for sustainable forest management in Chinese fir plantations.

Actors influencing cancer-related fatigue and the construction of a risk prediction model in lung cancer patients

PurposeThe paper aims to investigate the factors influencing cancer-related fatigue (CRF) in lung cancer patients and construct a CRF risk prediction model, providing effective intervention strategies for clinical medical staff.MethodsThis paper employs convenience sampling to select 400 lung cancer patients who visited a tertiary hospital in Dazhou, Sichuan Province, from January 2021 to January 2022. A questionnaire survey was conducted using the Revised Piper Fatigue Scale (PFS-R), Pittsburgh Sleep Quality Index (PSQI), and Hospital Anxiety and Depression Scale (HADS) to collect data on patient demographics and sociological characteristics, disease-related information, physiological indicators, sleep quality, mental health, and other relevant factors. To explore the factors influencing CRF in lung cancer patients, single-factor analysis and multiple logistic regression analysis were performed. A CRF risk prediction model was then established, with its predictive performance and calibration evaluated using ROC curves.FindingsThe results of multivariate logistic regression analysis showed that gender, age, education level, living status, daily exercise, clinical stage, course of disease, treatment mode, chronic disease, BMI, hemoglobin, serum albumin, blood glucose, potassium concentration, magnesium concentration, PSQI score and HAD score were the influencing factors of CRF in lung cancer patients (P<0.05). The AUC of the model construction group and the model validation group were 0.863 and 0.838, respectively, and the results of Hosmer-Lemeshow fit test showed that χ2 = 7.540, P=0.378>0.05 of the model construction group and χ2 = 8.120, P=0.320>0.05 of the model validation group indicated that the model had high prediction accuracy.Originality/valueThe risk prediction model for CRF holds significant clinical value. It can help medical staff to promptly identify high-risk patients, develop personalized intervention strategies, alleviate fatigue symptoms, and improve overall patient quality of life.

Characterization of Metabolites and Transcriptome of Pepper Accessions from Four Southern Provinces of China

Background/Objectives: Pepper (Capsicum annuum L.) is a widely grown vegetable and spice crop worldwide. This study aims to reveal the differences of metabolites among pepper accessions from different regions and explore candidate genes related to metabolites of pepper. Methods: The metabolome and transcriptome of 36 pepper accessions were determined by widely targeted metabolomics analysis and RNA sequencing technology, and the differential metabolites and differential genes among C. annuum from four important pepper production and consumption provinces of China, Hunan, Guizhou, Yunnan and Sichuan, were analyzed. Results: Flavonoids are the main characteristic metabolites that distinguish pepper accessions from Yun_Gui_Chuan Group and Hunan Group. The aglycones of characteristic flavonoids in each group are different; in Yun_Gui_Chuan Group mainly are luteolin, quercetin, chrysoeriol and isorhamnetin; in Hunan Group mainly are apigenin. Transcriptome data showed that two genes related to flavonoid 3′-monooxygenase differed significantly between the two groups of chili peppers, and we speculated that they may be the core enzymes regulating their flavonoid profile. And an SNP mutation located in gene Cgla06g001871 showed a strong correlation with pepper accessions from Yun_Gui_Chuan Group, which can be used as a DNA marker to identify pepper accessions from Yun_Gui_Chuan Group, and provide strong support for regional specialty variety conservation. In addition, we also analyzed the metabolites related to the taste and nutrition of pepper accessions in the four provinces, and the results showed that the sugar content of pepper accessions from Guizhou was low and the capsaicinoids content of pepper accessions from Sichuan was low, while no significant difference was found in acid and vitamin contents among pepper accessions from the four provinces. Conclusions: The metabolome and transcriptome of 36 pepper accessions from four important pepper production and consumption provinces of China were determined, and the characteristic metabolites and expressed genes of pepper accessions from each province were analyzed.

Using Integrated Geodetic Data for Enhanced Monitoring of Drought Characteristics Across Four Provinces and Municipalities in Southwest China

This paper presents an analysis of regional terrestrial water storage (TWS) changes and drought characteristics in Southwest China, encompassing Sichuan Province, Chongqing Municipality, Yunnan Province, and Guizhou Province. Existing geodetic datasets, such as those from the Gravity Recovery and Climate Experiment (GRACE) and its successor satellites (GRACE Follow-On), as well as Global Navigation Satellite System (GNSS) data, face significant challenges related to limited spatial resolution and insufficient station distribution. To address these issues, we propose a novel inversion method that integrates GNSS and GRACE/GFO data by establishing virtual stations for GRACE/GFO data and determining the weight values between GNSS and GRACE/GFO using the Akaike Bayesian Information Criterion (ABIC). This method allows for estimating the TWS changes from December 2010 to June 2023 and monitoring drought conditions in conjunction with hydrometeorological data (precipitation, evapotranspiration, and runoff). The results show strong correlations between TWS changes from the joint inversion and GNSS (0.98) and GRACE/GFO (0.69). The Joint Drought Severity Index (Joint-DSI) indicates five major drought events, with the most severe occurring from July 2022 to June 2023, with an average deficit of 86.133 km³. Extreme drought primarily impacts Sichuan and Yunnan, driven by abnormal precipitation deficits. The joint inversion methodology presented in this study provides a practical approach for monitoring TWS changes and assessing drought characteristics in Southwest China. This paper leverages the complementary strengths of GNSS and GRACE/GFO data and offers new insights into regional water resource management and drought detection.

Causal Factors of Aesthetic Education Evaluation for Public Undergraduate Universities in Sichuan Province

Objectives: This study investigates the causal factors influencing aesthetic education evaluation in public undergraduate universities in Sichuan Province, aiming to identify the key determinants and their interrelationships. Theoretical Framework: The study integrates multi-dimensional evaluation methodologies, management theories, leadership models, teacher performance theories, and student development principles to construct a comprehensive and systematic approach to aesthetic education evaluation in universities. Method: This study administered a survey to a sample of 478 educational administrators and teachers. The data were analyzed using structural equation modeling (SEM), a robust statistical technique for examining the interrelationships among identified variables and their collective impact on aesthetic education evaluation. Results and Discussion: The findings indicate that academic administration, leadership styles, teacher quality, and student development have significant positive impacts on aesthetic education evaluation. Academic administration acts as a mediating variable, connecting leadership styles, teacher quality, and student development with aesthetic education evaluation. These results emphasize the critical importance of integrating these factors to enhance the effectiveness and outcomes of aesthetic education evaluation. Research Implications: The study proposes practical strategies for optimizing aesthetic education evaluation, including improving teachers’ aesthetic competencies, fostering students’ developmental potential, and strengthening academic administration. These recommendations contribute to the holistic advancement of aesthetic education in higher education institutions. Originality/Value: This research offers a novel perspective on the structural relationships influencing aesthetic education evaluation, providing new insights to support the development and refinement of aesthetic education practices.

How do residents’ perceptions of tourism-led community development influence their government support? Evidence from poverty alleviation villages in China

ABSTRACT Rural tourism has emerged as a widely discussed hot topic. However, research regarding local residents’ perceptions of tourism-led community development (TLCD) and attitude of trust still requires further in-depth exploration. Drawing on the social exchange and ‘cognition-affective-conative’ theories, this study analysed how residents’ perceptions of TLCD influence supportive attitudes in four representative tourism villages in Sichuan Province, China. Residents’ government trust and satisfaction with TLCD were treated as mediating variables, while residents’ tourism working experiences served as a moderating variable. The findings indicated that residents generally had a positive attitude towards TLCD and also unreservedly trusted and supported the local government's tourism efforts. Residents’ positive perceptions of TLCD not only significantly enhanced their satisfaction with TLCD, but also directly and indirectly influenced government trust through residents’ satisfaction with TLCD. Besides, residents’ tourism working experiences significantly moderated the relationship between positive sociocultural perceptions and attitudes of support. This study not only deepens the research on the perceptions and attitudes of residents in rural tourism destinations, but also provides theoretical support for the implementation of rural revitalisation strategies.

Two new species of Trigonidiidae (Orthoptera: Grylloidea) from southwest China

Two new species of Trigonidiinae (Orthoptera: Grylloidea; Trigonidiidae), Trigonidium albarum sp. nov. and Svistella prominens sp. nov., were discovered in Sichuan Province, China. T. albarum sp. nov. has a similar coloration to Trigonidium rubrumoculum He & Ma, 2022 and can be distinguished by different ectoparamere; while S. prominens sp. nov. and Svistella anhuiensis He, Li & Liu, 2009 have similar morphological characteristics and are distributed in the same area, but the new species is characterized by a dark yellow body and a semicircular protrusion on the lateral lobe of epiphallus. This article presents descriptions and illustrations of the new species.

Prediction of Climate Change Impacts on the Distribution of an Umbrella Species in Western Sichuan Province, China: Insights from the MaxEnt Model and Circuit Theory

Climate change poses a significant threat to biodiversity. Predicting the impacts of climate change on species distribution and dispersal through computational models and big data analysis can provide valuable insights. These predictions are crucial for developing effective strategies to mitigate the threats that climate change poses to biodiversity. Our study investigated the potential impact of climate change on an umbrella species (Ursus arctos pruinosus) in Western Sichuan Province, China. We employed the MaxEnt and Circuit Theory to assess both the current and potential future shifts in the distribution and migration corridors. The results indicated that climate and environmental factors had the greatest influence on species distribution, with bioclimatic variables bio12, bio3, and elevation contributing 22.1%, 21.5%, and 19.3%, respectively. Under current climatic conditions, the total suitable habitat area for the species was 70,969.78 km2, with the largest suitable habitats located in Shiqu and Litang, accounting for 24.39% and 15.86% of the total area, respectively. However, under future climate scenarios, predictions for RCP 2.6, RCP 4.5, and RCP 8.5 showed a significant reduction in suitable habitat area, ranging from 7789.26 km2 to 16,678.85 km2. The Yajiang and Xinlong counties experienced the most severe habitat reductions, with declines exceeding 50%. Additionally, the altitudinal distribution of suitable habitats shifted, with suitable habitats gradually moving to higher elevations under future climate scenarios. Our study also analyzed the species’ dispersal paths. Under current climatic conditions, the dispersal paths predominantly followed a northwest-to-southeast orientation. However, by the 2070s, under all three RCPs, dispersal resistance is projected to significantly increase, the density of dispersal paths will decrease, and the connectivity of these paths will be reduced. In the most extreme RCP 8.5 scenario, southern dispersal paths nearly disappeared, and the dispersal paths contracted towards the northwest. These findings highlight potential threats posed by climate change to the species’ habitats and dispersal corridors, emphasizing the importance of considering both current and future climate change in conservation strategies to protect this vulnerable species and its ecosystem.

Risk Perception and Key Beliefs on Business Adaptation Behavior of Family Farmers: Empirical Evidence from Sichuan Province, China.

Family farmers face various business risks, including natural disasters, policies, technology adoption, and market uncertainties. This paper develops a conceptual framework for the formation mechanism of family farmers' business adaptation behaviors by linking "risk perception, key beliefs, and adaptation behavior". Using microdata from 363 family farmers in Sichuan Province, China, and applying ordered logit model regression analysis, we find that both risk perception and key beliefs positively influence family farmers' business adaptation behavior. Key beliefs partially mediate this relationship, while risk preference negatively moderates the effect of risk perception on business adaptation behavior. Additionally, family farmers with higher farm profit levels and larger social networks are more likely to engage in business adaptation behavior. Family farmers who have higher education, are older, operate larger-scale farms, and are male exhibit stronger risk perceptions.

Research on Messaging Applications as Mediators to Enhance Design Creativity in Industrial Design Students in China

Background and Aim: In globalization, creativity emerges as a pivotal factor in bolstering the competitiveness of nations and individuals. Therefore, fostering students' creativity becomes a crucial goal of education and a key driver for societal development and innovation. This study, with its potential to determine the factors that affect the design creativity of industrial design students through messaging applications, holds significant promise. The research framework includes variables such as design creativity (DC), knowledge sharing (KS), cooperative learning (CL), inspiration (IN), creative self-efficacy (CS), and the use of messaging applications (UMA). By exploring the influence of educational methods on creativity development through the analysis of students' creative generation process in messaging applications, we aim to provide new perspectives and tools that could profoundly impact creativity and educational research. Materials and Methods: In this research, we meticulously collected 467 valid questionnaires from colleges and universities in Sichuan Province, China, employing rigorous quantitative methods and questionnaire surveys. To ensure the utmost accuracy of the questionnaire data, we conducted a confirmatory factor analysis (CFA) to test the relationship between the observed variables and the potential variables. Subsequently, we employed the structural equation model (SEM) to test the research hypothesis comprehensively. Applying these two analytical techniques underscores the scientific rigor of our research methods and the robustness of our results. Result: The results of data analysis show that the use of message application, knowledge sharing, cooperative learning, inspiration, and creative self-efficacy significantly affect design creativity. Using message application as an intermediary variable improves industrial design students' knowledge-sharing and creative self-efficacy, thus enhancing their design creativity. However, the intermediary role of message application between inspiration, collaborative learning, and design creativity is not significant. This finding contrasts with the results of pilot tests, reflecting the differences in educational strategies implemented by different educators in influencing students' interaction and inspiration in collaborative learning. Conclusion: Studying the use of message applications to enhance creativity can promote educational equity and social interaction and stimulate interdisciplinary learning and collective wisdom. At the same time, cultivate students' innovative skills and lifelong learning and innovation ability. The research results provide educators with insights into how industrial design students can use new applications more effectively to improve their design creativity and confirm the effectiveness of students' creativity self-assessment. Therefore, in educational practice, the design creativity self-assessment scale can be used to evaluate students' design works. In addition, this study can be used as a reference for teaching and creativity research in other art disciplines.

Landslide susceptibility assessment using information quantity and machine learning integrated models: a case study of Sichuan province, southwestern China

Landslide susceptibility assessment using information quantity and machine learning integrated models: a case study of Sichuan province, southwestern China

The relationship between interpersonal trust, family capital, and physical activity behavior among university students: a cross-lagged study

To explore the interaction mechanism between interpersonal trust, family capital, and physical activity behavior among college students using a cross-lagged study design, providing a theoretical basis for the healthy development of their physical and mental well-being. A longitudinal follow-up survey was conducted among 412 college students in Sichuan Province, using the Interpersonal Trust Scale, Physical Activity Rating Scale, and Family Capital Scale, in two phases over eight weeks from early March (T1) to early May (T2) 2024. (1) The autoregressive path coefficients for interpersonal trust, family capital, and physical activity behavior were 0.51, 0.41, and 0.66, respectively, indicating good stability (p < 0.001). (2) Interpersonal trust at T1 positively predicted family capital at T2 (β = 0.28, p < 0.001), and family capital at T1 also positively predicted interpersonal trust at T2 (β = 0.23, p < 0.001), indicating a mutual influence between family capital and interpersonal trust. (3) Family capital at T1 did not predict physical activity behavior at T2 (p > 0.05), but physical activity behavior at T1 positively predicted family capital at T2 (β = 0.20, p < 0.001), indicating that physical activity behavior is a causal variable for family capital. (4) Interpersonal trust at T1 positively predicted physical activity behavior at T2 (β = 0.16, p < 0.001), while physical activity behavior at T1 did not predict interpersonal trust at T2 (p > 0.05), suggesting that interpersonal trust is a causal variable for physical activity behavior. (5) Family capital mediated the relationship between interpersonal trust and physical activity behavior (α = 0.046), with a confidence interval of [0.014,0.097]. There were no gender differences in the relationship between interpersonal trust, family capital, and physical activity behavior among college students. There was a longitudinal relationship between interpersonal trust, family capital, and physical activity behavior, where family capital and interpersonal trust mutually influence each other. Physical activity behavior was a positive causal variable for family capital, while interpersonal trust was a positive causal variable for physical activity behavior. Additionally, family capital mediated the relationship between interpersonal trust and physical activity behavior.