Abstract China’s one-third western region disseminated in Qinghai, Ningxia, Shaanxi, Gansu and other provinces witnessed landslide disasters in recent decades over loess and loess-like soils with special composition and properties. Loess landslides occur more frequently with serious constrained in the development of regional economy following the sharp increase in human engineering activity, especially from the launch of China’s Grand Strategy of Developing the West region of china. Therefore, the loess landslide forecasting and prediction is a hot topic in the study of environmental geology. This research demonstrates the situation and progress of the landslide forecasting and prediction motivated by the theoretical methods and technological means of landslide forecasting and prediction, the study of remote sensing survey of landslides, the study of multi-source information fusion and the study of loess landslide forecasting and prediction, followed by the prediction model for loess landslide based on assimilating multi-source information with its specific technology route anticipation based on assimilating multi-source information.
In order to reconstruct the panoramic model and extract plant community structure characteristics rapidly and accurately for the highway central green belt, a method for rapidly acquiring images of the targets highway central green belt using quad rotor unmanned aerial vehicle (UAV) and digital image processing techniques is explored. It has the advantages of real-time, high flexibility and low cost to obtain the plant information of the green belt in the middle of the road based on the low-altitude unmanned aerial vehicle. The results show that the images acquired with a lower flight height (30 m and 50 m) can be used to produce rather high quality Ortho-mosaic, 3D point cloud reconstruction and ideal digital surface model. The density of 3D reconstruction point cloud for the target sections is even, and the single-pixel resolution of the ortho-mosaic image can reach 0.67 cm and 1.0 cm, respectively. Thus, it can be seen that the UAV platform can obtain high-precision panoramic reconstruction of monitoring areas with different road types.
Abstract Background: Turnover intention is a major cause of reduced team morale and low work efficiency. It hinders work performance and reduces the quality of medical services. This study aimed to investigate the relationship between financial satisfaction and turnover intention and its mediators among primary care providers. Methods : Stratified sampling was used to select 1241 participants from three counties in Anhui province, China. Data were collected using self-administered questionnaire. Turnover intention was assessed with a turnover intention assessment scale. Social support and burnout were measured with the 12-item Perceived Social Support Scale and the Chinese version of the Maslach Burnout Inventory, respectively. Structural equation modeling was used for data analysis. Results: The findings showed high turnover intention among primary care providers (mean score 14.16±4.337), and most providers reported low financial satisfaction (mean score 2.49±0.990). The mean social support score was 64.93±13.229, and only 6.1% of primary care providers reported no burnout. Compared with participants with high financial satisfaction, those with low financial satisfaction were more likely to report higher turnover intention (β=−0.216, p<0.001), more social support (β=0.181, p<0.001), and more severe burnout (β=−0.123, p<0.05). Turnover intention may be related to social support (β=−0.147, p<0.001) and burnout (β=0.239, p<0.001). Furthermore, the effect of financial satisfaction on turnover intention was significantly mediated by social support (β=−0.027, p<0.001) and burnout (β=−0.029, p<0.05). Conclusions: Turnover intention is associated with financial satisfaction, with this association mediated by social support and burnout. A reasonable mechanism needs to be established to improve the financial satisfaction and social support and reduce burnout among primary care providers.
Firstly expounds post evaluation of elements of the AHP choice theory and design ideas,the questionnaire survey and predict try,on the basis of analytic hierarchy process in the inland maritime evaluation factors determine the weight of the problems in the practice,finally to inland maritime post evaluation of the weight of each factor to test and determined.
BACKGROUND Job burnout is a prevalent and emerging challenge in the health system, which causes a mass turnover, especially for primary healthcare workers. Little attention has been paid to the research about multidimensional characteristics of job burnout (emotional exhaustion, disintegration of personality, and reduction in sense of achievement) among primary healthcare workers. From the perspective of conservation of resource theory, social support and psychological capital as basic resources are likely to be valued to diminish burnout. OBJECTIVE Our study examined the correlations between two types of resources (social support and psychological capital) and three subdivisions of job burnout. Meanwhile, this study also tested the impact of multidimensional job burnout on primary healthcare workers’ turnover intention. Hence, based on the results effective management strategies to improve the work stability of primary healthcare workers are discussed. METHODS Multi-stage cluster random sampling combined with a questionnaire method was used to collect data in the Anhui Province of China. The main information of the survey questionnaire contains demographic characteristics and questions about construction measurement. A total of 1132 valid questionnaires were obtained ultimately, and the structural equation modeling method was used for data analysis. RESULTS The findings of our study were that social support was negatively associated with emotional exhaustion (β=-0.088, P<0.05), the disintegration of personality (β=-0.235, P <0.001), and reduction in sense of achievement (β=-0.075, P<0.05). Psychological capital also had the same effect on emotional exhaustion (β=-0.079, P<0.05), the disintegration of personality (β=-0.156, P<0.001), and reduction in sense of achievement (β=-0.432, P<0.001). Moreover, all three sub-dimensions of job burnout positively affected turnover intention (H3a: β=0.246, P<0.001; H3b: β=0.076, P<0.05; H3c: β=0.119, P<0.01). CONCLUSIONS As the results shown in this study that both social support and psychological capital can reduce primary medical workers’ job burnout, which indicates personal physical and psychological concerns given by the organization, family, and friends are essential as well as the measures to improve primary healthcare workers’ psychological energy.
Abstract Objectives Few studies have investigated the association between social capital and quality of life (QoL) among stroke patients. To address this research gap, we aimed to explore the association between social capital and QoL among stroke patients in Anhui Province, China. Study design Cross-sectional study. Methods This cross-sectional study was conducted using a multi-stage stratified random sampling method. The following data including demographic characteristics, health-related conditions, five dimensions of social capital status, and quality of life (QoL) were collected using a questionnaire. Generalized linear models were then used to determine the relationship between social capital and QoL after adjusting for confounding factors. Results A total of 390 participants were included for the final analysis in this study. Our results indicated that subjects with higher social capital including social connection (coefficient: 28.28, 95% CI: 19.39–37.16), social support (coefficient: 21.17, 95% CI: 10.63–31.71), trust (coefficient: 13.46, 95% CI: 2.73–24.19), reciprocity (coefficient: 25.56, 95% CI: 15.97–35.15), and cohesion (coefficient: 19.30, 95% CI: 9.90–28.70) had increased odds of reporting poor QoL when compared with lower social capital group. We also observed that the association between social capital and QoL varied across cities. Conclusions Our findings show that social capital is associated with QoL in adult stroke patients, suggesting that social capital may be significant for enhancing QoL among adults with stroke.
Abstract Background The shortage of primary medical staff is an important issue in the management of health human resources, and it is also a problem that all countries in the world need to face together. Since 2009, China has implemented a new series of medical system reforms and the shortage and loss of primary medical staff have been alleviated accordingly. However, China has a large population and it is difficult to distribute health human resources evenly across regions. This study aimed to explore the current status of turnover intention and its relationship with psychological capital, social support, and job burnout, as well as how these factors influence turnover intention of primary medical staff in Anhui province, China. Methods Using structured questionnaires to collect data, including demographic characteristics, turnover intention, psychological capital, social support, and Chinese Maslach Burnout Inventory scale. A total of 1,152 primary medical workers of Anhui were investigated. Data were analyzed by t-test, analysis of variance (ANOVA), Pearson correlation analysis, and multiple linear regression model. Results Total scores of turnover intention, psychological capital, social support, and job burnout of subjects were 14.15 ± 4.35, 100.09 ± 15.98, 64.93 ± 13.23 and 41.07 ± 9.437, respectively. Multiple linear regression showed the related factors of turnover intention were age, job position, work unit, and scores of job burnout. Pearson correlation showed psychological capital and social support were negatively correlated with turnover intention, while the score of job burnout was positively correlated with turnover intention. Conclusion The improvement of psychological capital and social support and the reduction of job burnout may play an important role in reducing turnover intention of primary medical staff. Primary medical managers should strengthen the humanistic care for primary medical staff, optimize the incentive mechanism, and improve internal management of medical institutions for stability.
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