Job demands-resources on digital gig platforms and counterproductive work behavior.

Introduction: With the rapid expansion of digital gig platforms, counterproductive work behavior among gig workers has become increasingly prominent, adversely impacting the platform's reputation, operational efficiency, and user experience. This study aims to explore how job demands and job resources influence counterproductive work behavior among gig workers. Methods: Grounded in the Job Demands-Resources model and Job Engagement Theory, this study develops a second-order chain mediation structural model to analyze the effects of job demands (Work pace/workload, physical demands, psychological demands, and customer-related social stressors) and job resources (Compensation, job security, learning opportunities, and opportunities for professional development) on counterproductive work behavior. Cognitive, emotional, and behavioral engagement are also examined as mediators. Results: Job demands positively influence counterproductive work behavior, while job resources have a negative impact. Cognitive, emotional, and behavioral engagement each negatively affect counterproductive work behavior. Additionally, platform formalization moderates the negative influence of gig workers' engagement on counterproductive work behavior. Discussion: This research provides a comprehensive theoretical framework for digital gig platform managers to understand and predict gig workers' counterproductive work behavior. It also offers practical implications for optimizing the work environment, enhancing job engagement, and mitigating counterproductive work behavior, thus fostering mutual development between gig workers and the platform.

Correlation between organizational support, self-efficacy, and core competencies among long-term care assistants: a structural equation model.

Introduction: Long-term care assistants are taking on more important roles in the healthcare system. The purpose of this study was to investigate what demographic factors influence the core competencies of nursing assistants, as well as to investigate the levels of organizational support, self-efficacy, and core competencies among nursing assistants in China, to explore the relationship between them. Methods: This is a cross-sectional study with prospective data collection based on a self-report questionnaire. A total of 320 long-term care assistants from two healthcare institutions. We collected socio-demographic characteristics and measured their perceived organizational support, self-efficacy, and core competency levels of the participants. Pearson correlation tests were conducted to examine the relationships among three variables, and a structural equation model was developed to test the interrelationships among these variables. Results: The results indicated that age, employment type, licensing status, monthly income, pre-job training, and training methods were associated with core competency, with nursing knowledge identified as a weak area in core competencies. There were significant associations among each dimension of perceived organizational support, self-efficacy, and core competencies (p < 0.01). The structural equation model demonstrated good fit: X 2/df = 2.486, GFI = 0.974, CFI = 0.988, IFI = 0.988, TLI = 0.977, RMSEA = 0.068, SRMR = 0.013. The direct effect of organizational support on core competencies was 0.37, with self-efficacy mediating the relationship between organizational support and core competencies, yielding an indirect effect of 0.122 and a total effect coefficient of 0.492 (all p < 0.001). Conclusion: Training in core competencies should prioritize nursing knowledge. Enhanced perceived organizational support and self-efficacy among nursing assistants were associated with higher core competencies.

The impact of the nurse practice environment, workload, and professional support on job outcomes and standards of care at primary health care clinics in South Africa: A structural equation model approach.

Background: There is substantial evidence on the associations between a positive nurse practice environment and improved nurse and patient outcomes, as well as the factors that mediate these associations, in high-income countries and in hospital settings. The knowledge gaps in African and primary health care settings motivated this empirical study. Objective: The objective of this study was to examine the impact of the dimensions of the nurse practice environment, specifically human resource management, foundations for nursing care, and participation in clinic affairs, on job outcomes and standards of care. Design: A cross-sectional study was conducted between November 2021 and June 2022. Setting: 180 primary health care clinics in two South African provinces of Gauteng and North West. Participants: 665 nurses of all categories. Methods: A causal model was developed with pathways between the nurse practice environment dimensions and the outcomes of job satisfaction, intention to leave, and standards of care. A set of standardised instruments was used to measure the study variables. Using structural equation modelling, workload and professional support were tested as potential mediators between the nurse practice environment and the outcome variables. Results: The nurses scored the domain of foundations for nursing care 71.2 out of 100 on average, indicating high agreement, while the mean scores for nurses' participation in clinic affairs and human resources management were lower at 68.0 and 61.7 respectively. Although nurses expressed moderate satisfaction with professional support (67.7), they were less satisfied with their workload (52.2). The mean score of overall job satisfaction was moderate (58.9), with 53.8 % of the nurses reporting that they intended leaving the clinic where they were working. Thirty-six percent intended leaving the nursing profession, indicating low intention to stay. The final mediation model was judged to fit the data adequately based on goodness-of-fit indices, confirming that workload and professional support had a mediating role between the nurse practice environment dimensions of interest and both nurses' job outcomes and standards of care. Conclusions: We have highlighted the value of supportive practice environments, effective workload management, and enhanced professional support in improving nurses' job outcomes and satisfaction with standards of care. Improving nurses' practice environments at primary health care level may have a wide-ranging impact on the performance of the health system. Therefore, primary health care facility managers should ensure that workload is distributed equitably, professional support for nurses is enhanced, and the overall work environment is improved.

Adult attachment, social anxiety, and problematic social media use: A meta-analysis and meta-analytic structural equation model.

The relationship between adult attachment (anxious attachment and avoidant attachment) and problematic social media use is controversial and contradictory. Hence, the present study clarified the relationship between adult attachment dimensions and problematic social media use through meta-analysis. To better explain the relationship, this study also established meta-analytic structural equation modeling to examine the mediating role of social anxiety in the relationship. This study used CMA and R software for data analysis. Forty-five effect sizes were included in the study, including 11,746 individuals. Results showed that anxious attachment was strongly correlated with problematic social media use (r = 0.319, 95 %CI[0.271, 0.366]), whereas avoidant attachment was weakly correlated with problematic social media use (r = 0.091, 95 %CI[0.011,0.170]). Moderating effects showed that the relationship between anxious attachment and problematic social media use was moderated by the measurement instrument. Meta-analytic structural equation modeling showed that anxious attachment had a significant positive effect on PSMU through social anxiety, anxious attachment had a significant positive effect on PSMU through social anxiety. This study clarifies inconsistencies in the existing literature through meta-analysis, providing reliable conclusions and novel perspectives. It assists clinical practitioners in developing tailored treatment programs for practical interventions. It is suggested that treatment for problematic social media use requires attention to individuals with insecure adult attachment and social anxiety. For individuals with high anxious attachment and social anxiety, it is essential to help them manage their social media use effectively and reduce their dependence on it. Concurrently, interventions for attachment avoidant individuals should focus on enhancing their social self-confidence to reduce the influence of social anxiety on their social media use.

Mediating effect of cognitive appraisal and coping on anticipatory grief in family caregivers of patients with cancer: a Bayesian structural equation model study.

BACKGROUND: Anticipatory grief is common among family caregivers of cancer patients and may be related to caregiver burden, family resilience, psychological capital, cognitive appraisal, and coping strategies. The purpose of this study was to examine the mediating role of cognitive appraisal and coping strategies in the relationship between caregiver burden, family resilience, psychological capital, and anticipatory grief among caregivers of cancer patients. METHODS: This study surveyed from January to September 2023 among 265 caregivers of lung and breast cancer patients in two public hospitals. They completed measures of caregiver burden, family resilience, psychological capital, cognitive appraisal, coping, and anticipatory grief. AMOS software was used to model the data with Bayesian structural equation modeling. RESULTS: Bayesian structural equation modeling results showed that caregiver burden had a direct effect on anticipatory grief. The chain mediating effects for cognitive appraisal tendency and coping tendency between caregiver burden, family resilience, psychological capital, and anticipatory grief, respectively. Coping tendency acted as a mediator between psychological capital and anticipatory grief. CONCLUSIONS: The relationships between caregiver burden, family resilience, and psychological capital with anticipatory grief are embedded in the mediating effects of cognitive appraisal and coping. Early identification and intervention for caregiver burden, family resilience, psychological capital, cognitive appraisal, and coping methods may prevent anticipatory grief in caregivers of cancer patients.

Driving forces of herbaceous species diversity in natural broadleaf forests from in Maoershan from Northeast China.

The understory herbaceous flora plays a pivotal role in regulating the structural stability, complexity, and ecological function of forest communities. It is crucial to investigate the impact of the intricate connections between these factors and the forces driving the diversity of herbaceous species within natural broadleaf understory forests can assist forest managers in developing optimal forest structure optimization techniques, allowing them to adjust the forest species diversity. In this study, Pearson correlation analysis, conventional correlation analysis, and multiple linear regression were employed to elucidate the relationship between stand structure, soil nutrients, and understory herbaceous species richness in natural broadleaved forests. Structural equation modeling was utilized to ascertain the influence of multiple factors on understory herbaceous species diversity and to evaluate the underlying pathways. The results indicated a significant negative correlation between stand closure and the Simpson's and Shannon-Wiener's indices, and between the mixing degree and the Pielou evenness index, Simpson's index, and Shannon-Wiener's index (p<0.05). Furthermore, a significant positive correlation was observed between soil nutrients, specifically organic matter and total phosphorus, and the Pielou evenness index and Shannon-Wiener's index (p<0.05). It was found that total phosphorus was significantly positively correlated with both the Pielou evenness index and the Shannon-Wiener index (p<0.05). The correlation coefficients of the first group of typical variables in the typical correlation analysis were 0.498 and 0.585, respectively (p<0.05). From the set of typical variables of stand structure, it can be seen that the Hegyi competition index and the canopy density affected the diversity of understory herbaceous plants. The composite index demonstrated the greatest impact, with loadings of 0.872 and -0.506, respectively. The Simpson and Shannon-Wiener indices exhibited the most sensitive loadings of -0.441 and -0.408, respectively. The soil nutrients of SOM and TN affected the understory herbaceous plant species diversity composite index, with greater loadings of -0.184 and 1.002, respectively. The path coefficient of the understory herbaceous diversity stand structure was 0.35. The path coefficient with soil nutrient content was found to be 0.23 following structural equation analysis and the path coefficient between stand structure and soil nutrient content was 0.21, which indirectly affect the diversity of understory herbaceous species. To enhance the diversity of herbaceous species, it is recommended that the canopy density and tree density of the upper forest be reduced appropriately, while the degree of mixing and the level of spatial distribution of trees be adjusted in a manner that maintains a reasonable stand structure. Furthermore, a comprehensive forest management program for improving soil nutrients should be considered.

Exploring the factors affecting the readiness for hospital discharge after total knee arthroplasty: A structural equation model approach.

AIM: To investigate the factors that influence readiness for hospital discharge in Chinese patients after total knee arthroplasty and to identify priorities for nursing interventions. DESIGN: A cross-sectional study. METHODS: From January to August 2022, data were collected from 339 patients at two tertiary A-level hospitals in Jinan, Shandong Province. SPSS 26.0 and Mplus 8.3 software were used for statistical analysis. RESULTS: Results from multiple linear regression showed that patients' age, residence status, education level, knee pain during sleep, quality of discharge teaching, self-efficacy for rehabilitation, pain control knowledge, and social support were factors influencing their readiness for hospital discharge. The results of the structural equation model had shown that there were also indirect effects of the education level, knee pain during sleep, quality of discharge teaching, and pain control knowledge. CONCLUSION: Patients' readiness for hospital discharge needs further improvement, hence physicians and nurses should judiciously allocate medical resources and concentrate their efforts on high-risk groups characterized by low readiness for hospital discharge. IMPLICATIONS FOR THE PROFESSION AND PATIENT CARE: This study underscores the importance of physicians and nurses prioritizing key factors such as age, residency status, education level, and social support in total knee arthroplasty patients to enhance their readiness for hospital discharge. By implementing targeted discharge planning, effective pain management, and comprehensive rehabilitation education, healthcare providers can improve patient outcomes. IMPACT: This study identified key factors influencing readiness for hospital discharge in total knee arthroplasty patients, guiding targeted nursing interventions to improve post-operative care. REPORTING METHOD: STROBE. PATIENT OR PUBLIC CONTRIBUTION: The participants recruited for this study were actively engaged in the data collection process.

Effects of different soil and water conservation measures on plant functional traits in the Loess Plateau.

Soil and water conservation measures (SWCM) have wide-ranging effects on vegetation and soil, and their effects on the ecosystem are multifaceted, with complex mechanisms. While numerous studies have focused on the impact of such measures on soil, the improvement of plant functional traits is a major factor in the ecological recovery of the Loess Plateau. This survey extensively investigated no measure plots, vegetation measure plots, and engineering measure plots in the Loess Plateau. The impact of SWCM on plant functional traits was investigated using structural equation modeling. We examined six plant functional traits-leaf dry weight (LD), specific leaf area (SLA), leaf tissue density (LTD), leaf total phosphorus (LTP), leaf total nitrogen (LTN), and leaf volume (LV)-correlated with resource acquisition and allocation. In 122 plots, we explored the effects of measures, soil, diversity, and community structure on the weighted average of plant functional traits. The findings showed substantial positive correlations between LD and SLA, LD and LV, SLA and LV, SLA and LTP, and LTP and LTN. LTD has a substantial negative correlation with LD, LTD with SLA, and LTD with LV. SWCM limits diversity, and the mechanisms by which it affects plant functional traits vary. In the structural equation model (SEM) of vegetation measures, improving community structure enhances plant functional traits, but soil factors have the greatest influence on plant functional traits in SEM engineering measures. Plant functional trait differences on the Loess Plateau result are due to differential plant responses to diverse soil properties and community structure. Vegetation measures enhance the chemical properties of plant functional traits, while engineering measures improve physical properties. The study provides a theoretical foundation for vegetation restoration and management following the implementation of diverse SWCM.

Impact of urban form on carbon emissions of residents in counties: evidence from Yangtze River Delta, China.

Urban form is a key factor affecting carbon emissions. Accurately estimating the impact of urban form on the carbon emissions of residents (CER) is an important prerequisite for China to adopt effective low-carbon spatial planning strategies and respond to climate change. However, counties mainly account for China's energy consumption, and the relationship between their urban form and the CER remains unclear, limiting their low-carbon development. Therefore, in this study, the PLS-SEM model and data from 90 counties in the Yangtze River Delta are used to determine the extent and ways that urban form affects the CER. The model considers the impact of both geometric-aspect urban form factors (urban scale, compactness, spatial structure, and urban shape) and built environment-aspect urban form factors (public service facilities, urban greening, road traffic, public transportation, and urban energy infrastructure) on the CER. The results indicate that urban form factors related to the built environment (public service facilities, urban greening, road systems, and municipal infrastructure) have a direct impact on the CER. Geometric-aspect urban form factors (size, compactness, spatial structure, and shape) not only directly affect the CER but also indirectly affect the CER by altering built environment-aspect urban form factors. This study identifies the complex relationship between urban form and the CER, facilitating the coordinated integration of multiple elements and providing a basis for the formulation of low-carbon spatial planning strategies for counties.

Understanding pathways from feeding difficulties of children to mental health risks of mothers at critical stages of childrearing: Does social support make a difference?

Background: Identifying the factors influencing mental health of mothers at critical stages of childrearing is significant for the implementation of effective promotion policies and counselling activities. Objective: This study aimed to investigate the relationships between children's feeding difficulties, marital quality, parenting quality and maternal mental health risks amidst Chinese mothers with high and low social support using a multi-group structural equation modelling approach. Participants: A cross-sectional study was conducted in Wenzhou, China and a total of 772 mothers with children aged 0-3 were surveyed by using purposive sampling. Findings: Results showed that of the 772 participants, 23.6 % reported anxiety, 50.1 % reported depression, 91.2 % reported insomnia, and 24 % reported feeding difficulties. The joint occurrence of multiple forms of mental problems is the most commonly reported features of mental health risks among mothers. The positive association between feeding difficulties of children and mental health risks of mothers was mediated by marital quality and parenting quality. In addition, feeding difficulties were not related to mental health risks in high social support group but all the relationships were significant in low social support group. Conclusions: These findings highlight the importance of the specific interventions to enhance social support, marital quality and parenting quality for improving mental health of mothers of children with feeding difficulties.

Soil type data provide new methods and insights for heavy metal pollution assessment and driving factors analysis.

Assessing heavy metal pollution and understanding the driving factors are crucial for monitoring and managing soil pollution. This study developed two modified assessment methods (NIPIt and NECI) based on soil type-specific background values and pollution indices, and combined them with the receptor model to evaluate pollution status. Additionally, a structural equation model was used to analyze the driving factors of soil heavy metal pollution. Results showed that the average NIPIt and NECI were 1.48 and 0.92, respectively, indicating a low pollution risk level. In some areas, Cd and Hg were the primary heavy metals contributing to pollution risk, with their highest average concentrations exceeding soil type-specific background values by 2.06 and 2.04 times, respectively. Additionally, in black soils, meadow soils, and chernozems, heavy metals primarily originated from natural sources, accounting for 48.92 %, 45.98 %, and 45.58 %, respectively. In aeolian soils, agricultural sources were predominant, contributing 43.38 %. Soil pH and organic matter were key soil properties affecting NECI and NIPIt, with direct effects of 0.36 and -0.19, respectively. This study aims to provide new methods and insights for the comprehensive assessment and driving factors analysis of soil heavy metal pollution, with the goal of enhancing pollution monitoring and reducing risk.

Analyzing health service employees' intention to use e-health systems in southwest Ethiopia: using UTAUT-2 model.

BACKGROUND: E-health systems have the potential to improve healthcare delivery and access to medical services in resource-constrained settings. Despite its impact, the system exhibits a low level of consumer acceptance and intention to use it. This research paper aims to analyze the intention of health service employees to use e-health systems in southwest Ethiopia using the UTAUT-2 model. METHOD: Institutional-based cross-sectional studies were conducted at four referral hospitals (two private and two public) to examine the acceptance of e-health among consumers. Employees who had previous experience with diagnostic information systems and the health logistic information system were given structured questionnaires based on the UTAUT-2 model. The data were analyzed using the PLS-SEM method to identify the key factors that influence the intention to use e-health systems. The data were analyzed using SPSS version 20 and SmartPLS 3 software. RESULT: Out of the 400 surveyed employees, 225 (56.25%) valid questionnaires were collected. The findings indicate that three factors-effort expectancy (ß = 0.276, t = 3.015, p = 0.001), habit (ß = 0.309, t = 3.754, p = 0), and performance expectancy (ß = 0.179, t = 1.905, p = 0.028)-had a significant positive impact on employees' intention to use e-health systems. On the other hand, factors such as social influence, facilitating conditions, hedonic motivation, and price values did not appear as significant predictors of intention to use e-health. The study model was able to predict 63% of employees' intentions to use e-health systems. CONCLUSION: Effort expectancy, habit, and performance expectancy were significant predictors of employees' intention to use e-health systems among health service employees in southwest Ethiopia. The study supports the ideas that ease of use, experience with information systems, and the role of the systems in improving job performance contribute to employees' intention to use e-health. Policymakers and healthcare organizations in the region can use these findings to develop strategies for successful implementation and adoption of e-health systems, ultimately improving healthcare services and outcomes for the population.

[Effect of Meteorological Elements and Air Pollutants on Ozone in Yinchuan City Park].

To examine the underlying determinants of ozone （O3） in Yinchuan's urban park during varying seasons and to ascertain the role played by meteorological events and air contaminants in influencing O3 concentrations at high altitudes, data on O3, meteorological factors, and air pollutants were collected through prolonged positional observations carried out at the Ningxia Yinchuan National Urban Ecosystem Research Station. Pearson correlation analysis and a structural equation model were utilized to investigate the spatio-temporal distribution patterns, trends, and the primary factors influencing O3. The findings demonstrated a notable seasonal variability in O3 levels in Yinchuan's urban park, displaying an "unimodal type" with the O3 concentration peaking in summer （131.18 µg·m-3） and bottoming out in winter （71.45 µg·m-3）. Among the meteorological factors, the highest impact on O3 was attributed to temperature and wind speed （temperature mainly through direct effects and wind speed mainly through indirect effects）. Conversely, air pollutants such as NOx and SO2 greatly affected O3 primarily through direct effects. Wind speed was identified as the primary influencing factor on O3 during spring and summer, potentially contributing 29% and 24.7%, respectively. Conversely, NO2 was implicated as the primary factor during autumn and winter, with an estimated contribution of 26.6% and 29.7%, respectively. Thus, a structural equation model can efficiently reveal the primary determinants behind O3 variations throughout various seasons, which could furnish a scientifically rigorous foundation and technical aid for mitigating and managing O3 levels in high-altitude regions.

[Stabilization of Cd-contaminated Soil with Thiol-modified Biochar and Response of Soil Microorganisms].

To explore the stabilization effect of livestock manure biochar on Cd-contaminated soil and its impact on the soil environment, a pot experiment was conducted to investigate the stabilization efficiency of cattle manure-biochar （BC） and thiol-modified biochar （SBC） on Cd in soil and their effect on the soil properties and microbial community. The structural equation model （SEM） was used to analyze the effect pathways of BC and SBC on the soil microbial community. The results showed that BC and SBC increased soil pH, available potassium, available phosphorus, and organic matter content but decreased soil available nitrogen content compared with those in CK. The stabilization efficiency of BC for Cd in soil was 14.97%, which was much lower than that of SBC （85.71%）. Moreover, SBC increased the abundance of dominant bacterial phyla in soil, with Proteobacteria, Bacteroidota, and Cyanobacteria increasing most significantly. SBC decreased the diversity of soil microorganisms, but the decrease was insignificant （P≥0.05） compared with that in CK and BC. SEM analysis indicated that the available phosphorus, available potassium, organic matter, and soil pH were the key factors influencing Cd availability in soil, whereas organic matter and Cd availability were the key factors affecting the soil microbial community. Overall, SBC could stabilize Cd effectively and increase the abundance of dominant bacteria and has great potential in the remediation of Cd-contaminated soil.

Structural Equation Models to Infer Relationships between Energy-related Blood Metabolites and Milk Daily Energy Output in Holstein Cows.

During lactation, high-yielding cows experience metabolic disturbances due to milk production. Metabolic monitoring offers valuable insights into how cows manage these challenges throughout the lactation period, making it a topic of considerable interest to breeders. In this study, we used Bayesian networks to uncover potential dependencies among various energy-related blood metabolites, i.e. glucose, urea, Beta-hydroxybutyrate (BHB), non-esterified fatty acids (NEFA), cholesterol (CHOL), and daily milk energy output (dMEO) in 1,254 Holstein cows. The inferred causal structure was then incorporated into structural equation models (SEM) to estimate heritabilities and additive genetic correlations among these phenotypes using both pedigree and genotypes from a 100k chip. Dependencies among traits were determined using the Hill Climbing algorithm, implemented with the posterior distribution of the residuals obtained from standard multiple trait model (MTM). These identified relationships were then used to construct the SEM, considering both direct and indirect relationships. The relevant dependencies and path coefficients obtained, expressed in units of measurement variation of 1σ, were as follows: dMEO → CHOL (0.181), dMEO → BHB (-0.149), dMEO → urea (0.038), glucose → BHB (-0.55), glucose → urea (-0.194), CHOL → urea (0.175), BHB → urea (-0.049), and NEFA → urea (-0.097). Heritabilities for traits of concern obtained with SEM ranged from 0.09 to 0.2. Genetic correlations with a minimum 95 % probability (P) of the posterior mean being > 0 for positive means or < 0 for negative means include those between dMEO and glucose (-0.583, P = 100), dMEO and BHB (0.349, P = 99), glucose and CHOL (0.325, P = 100), glucose and NEFA (-0.388, P = 100), and NEFA and BHB (0.759, P = 100). The results of this analysis revealed the existence of recursive relationships among the energy-related blood metabolites and dMEO. Understanding these connections is paramount for establishing effective genetic selection strategies, enhancing production and animal welfare.

Research on the energy saving behaviors of university students based on TPB in a hot summer-cold winter area in China.

Energy saving in higher education institutions holds significant importance in the establishment of environmentally friendly and low-carbon societies, with the energy-saving behaviors of university students playing a pivotal role in the development of sustainable campuses. However, there is a clear need for customized strategies to encourage energy-saving habits among university students in areas of China with extreme weather conditions, such as hot summers and cold winters. This study offers a thorough examination of the literature regarding energy-saving behaviors among college students and presents a new theoretical framework based on the Theory of Planned Behavior (TPB). A survey questionnaire is conducted at universities in regions with hot summers and cold winters across China, with the goal of identifying the main factors that influence students' intentions and actions regarding campus energy conservation. From July to August 2022, we collected 512 survey responses from different university campuses in China's hot summer-cold winter weather zone. The survey asked about subjective norms, understanding of energy conservation, and the importance of saving energy. Utilizing the Structural Equation Model (SEM), we examined how influencing factors are associated with energy conservation behaviors. Our findings indicate that (1) both the significance of energy conservation and subjective norms significantly drive energy-saving actions; (2) distinct factors impact different forms of energy-saving practices; and (3) the inclination to save energy partially mediates the relationship between comfort choices and the significance of energy conservation. This study presents a validated behavioral model tailored for regions experiencing hot summers and cold winters, offering valuable insights for college administrators in managing energy usage while also serving as a theoretical reference for establishing environmentally sustainable campuses.

How to maximize the travelers' shift to rail transit in a Chinese valley city after bus fare adjustment.

Existing studies have not analyzed travelers' travel modal shift behavior after bus fare adjustment for special urban topography. In order to fill this gap and explore the strategies that can effectively encourage the shift of valley city travelers to rail transit after the adjustment of bus fare, the price adjustment perception and topographic space perception are introduced to expand the theory of planned behavior (TPB). On this basis, an integrated model combining structural equation model (SEM) and Mixed Logit model (MLM) is established to analyze the factors of travelers' modal shift behavior of in the valley city after bus fare adjustment, and elastic analysis is carried out. Taking Lanzhou as an example, questionnaire data and traffic data were collected for example analysis. The results show that fare adjustment perception (FAP) and topographic space perception (TSP) have the same significant impact on travel modal shift intention (TMSI) and behavior (TMSB) as subjective norms (SN), shift behavior attitude (SBA) and perceived behavior control (PBC), and the travel characteristics and psychological perception sensitivity of travelers in the valley city are heterogeneous. After the adjustment of bus fares in valley city, the shift to rail transit is the most. When the subjective norms, fare adjustment perception and topographic space perception of travelers in the valley city increase by 50 %. The sharing rate of rail transit is increased by 10.284 %. The effective way to increase the sharing rate of rail transit is to increase the combined factors of subjective norms, topographic space perception and fare adjustment perception. Compared with the Multinomial Logit model and the Logit model combined with structural equation model, the goodness of fit and prediction accuracy of the proposed integrated model are improved.

Correlation of unobserved factors of old town street walkability using SEM: Case study of old southern area, Nanjing.

Contemporary research on the walking environment focuses closely on the construction logic and internal correlation. Walkability is one of the vital characteristics of the old town street space. To understand how to improve the old town street space effectively, the investigation of the correlation mechanism of street walkability is essential. This study utilizes structural equation model (SEM) to construct a street walkability measurement model composed of four unobserved factors. Then, take Old Southern Area in Nanjing as an example, integrate Depthmap, ArcGIS and Python to obtain multi-source data, and establish a database of observed factors on street space. Finally, the matrix of the observed factors is set by SEM to calculate the correlation of the unobserved factors. This paper provides a novel technical approach for the correlation study of spatial construction logic as well as a reference for strengthening the spatial quality of the contemporary built environment.

The Association Between Social Support And Trying Smoking Among Rural Adolescents In Rural Western China: The Intermediary Role Of Mental Health Problems And Life Satisfaction.

INTRODUCTION: Most adult smokers develop their addiction by trying smoking during adolescence. Elucidation of the psychosocial mechanisms underlying smoking initiation may be crucial for the prevention of adolescent tobacco use. The study aimed to identify key psychosocial factors in order to provide a scientific basis for preventing and reducing the occurrence of initial smoking behaviour among adolescents. METHODS: A total of 2671 students from rural middle schools in western China were surveyed three times as part of a two-year longitudinal study. The adolescent health questionnaire included the Global Youth Tobacco Survey, the Mental Health Inventory of Middle-School Students, the Social Support Rating Scale and the Adolescent Life Satisfaction Scale. Structural equation modelling was used to analyse the direct or indirect relationships between smoking initiation and psychosocial factors. RESULTS: The prevalence of trying smoking among adolescents was 28.3%, with boys (38.3%) having a higher rate than girls (19.7%) (P<0.05). Mental health problems were positively associated with trying smoking (ß=0.112, P<0.05). Greater life satisfaction had a negative direct effect on trying smoking (ß=-0.125, P<0.05) and also played a mediating role in the relationship between mental health problems and trying smoking (ß=0.016, 95%CI: 0.008 to 0.025), accounting for 20.7% of the total effect. Social support had a full mediating effect on smoking initiation through both mental health problems and life satisfaction (ß=-0.022, 95%CI: -0.028 to -0.016). CONCLUSIONS: The behaviour of young people who try smoking is associated with complex psychosocial factors. Interventions aimed at preventing adolescent tobacco use should prioritize the provision of social support and the promotion of life satisfaction. IMPLICATIONS: The study elucidated the direct and indirect relationships between psychosocial factors and trying smoking behaviour. In order to prevent adolescents from trying smoking, it is essential to intervene through external social support and internal development of mental health and well-being to improve adolescents' social support, increase their life satisfaction and maintain their mental health.

Combining effects of submerged macrophytes and lanthanum-modified bentonite on sediment enzyme activity: Evidence from mesocosm study.

Lanthanum-modified bentonite (LMB) combined with submerged macrophytes (SM) has been a conventional means of eutrophication management in lakes in recent years, and is one of the most important methods for P removal. However, trends in nutrients and sediment enzymes at the water-sediment interface during this process have not been systematically assessed, and there are still some gaps in how abiotic properties drive changes in enzyme activity. Here, we show changes in aquatic environmental conditions under the action of different ratios of modified bentonite (0, 10%, 20%, and 30%) in combination with SM (Vallisneria natans, Potamogeton lucens, and Hydrilla verticillate) and quantify their effects on sediment enzyme activities. The results showed that the nutrient cycling at the water-sediment interface was facilitated by the combined effect of SM and LMB, which effectively reduced the overlying water nutrient concentration, increased the sediment enzyme activity and enhanced the N cycling process. Partial least squares structural equation model (PLS-SEM) showed that sediment parameters strongly influenced changes in enzyme activity, with NO3-N as the main controlling factors. Our study fills in the process of changing environmental conditions in lake water under geoengineered materials combined with macrophyte measures, especially the changes in biological properties enzyme activities, which contributes to a clearer understanding of nutrient fluxes during the management of eutrophication in lakes.