The aim of this study was to examine the relationships among social support, self-efficacy, and resilience in early career registered nurses. A cross-sectional study was conducted with a convenience sample of 747 early career registered nurses. Data collection was performed between August and November 2015. Data were analyzed using structural equation modeling. Among the three factors of social support, only the impact of coworker support on nurse resilience is fully mediated by self-efficacy; friend support had a significant positive direct effect on self-efficacy and an indirect effect on nurse resilience. This would suggest the importance of administrators/managers understanding how to promote coworker support, increase self-efficacy, foster a positive work climate, and develop effective mentorship programs to improve early career registered nurses resilience and mitigate factors leading to turnover.
By analyzing the historical background of the times and summarizing the current situation of urban development research at home and abroad, we find that there is a lack of theoretical and practical research related to intelligent park cities. Therefore, this paper first starts with the connotation of park city theory, focuses on the improvement of planning methods, and studies the application paths of big data technology in the planning and construction of park cities. Taking Jinzhai Country as the research object, this paper further illustrates the applicability of this research method at the macrolevel. In the context of the park city, we analyze the problems of the current status of city construction in general and explore the path of “planning concept first, big data-assisted design” for innovative and intelligent city construction. According to the study, the overlook corridor control has an impact on the building height. In terms of landscape protection, overlook system simulation is the other key factor. In addition, the analytic hierarchy process is the basis for development intensity control. The results show that big data technology can assist in the landscape conservation, morphology formation, and efficient operation of Jinzhai Country Park City. Our aim is to achieve the protection and utilization of its ecological environment and natural resources and thus to comprehensively coordinate the multidimensional urban spaces and build a park city model. As an urban development model that meets the requirements of being “people-oriented, efficient, green, and aesthetic” in the new stage, park cities need to be faced by researchers in order to further realize the overall city goal and vision for the whole society to be smart. It also provides relevant design ideas and methods for the planning and construction of park cities in other similar cities or regions.
Urban resilience and urbanization have been researched wildly by urban researchers. The coupling relationship between the level of urban resilience and urbanization is a considerable reference to assess the quality of urban development. Based on the correlation of objective index data, it theoretically explains whether the urban resilience level is coupled with the urbanization level and the degree of coupling, providing advice and wisdom for the future high-quality urban development of Hefei. Objective. To explore whether there is coupling between the urbanization level and the urban resilience level and to explore what extent of the coupling is. Research Methods. The dimensionless method was mainly used to standardize the original statistical data, the entropy method can be chosen to obtain the weight of the indexes of urbanization level and urban resilience level, and the coupling coordination model was chosen to study the degree of coupling coordination. Research conclusions. From 2011 to 2013, the coupling coordinate on degree was low. The coupling coordination level of urbanization and urban resilience was moderately unbalanced in 2011, mild disorder in 2012, and primary coordination in 2013. However, in 2014 and 2015, the situation improved a lot, and the coordination degree was intermediate coordination. From 2016 to 2019, the coupling coordination degree was in the stage of advanced coordination.
The rapid development of industrialization and urbanization aggravates the tension of human–land relationships, leading to increasingly prominent contradictions and a serious imbalance in the relationship among production–living–ecological space (PLES). The study of county PLES is important for guiding the spatial development and layout optimization of national land as well as promoting the integrated development of urban and rural areas. This can be made more accurate, comprehensive, and visualized by using a land transfer matrix, a land use dynamic attitude, and a barycenter migration model. Research results have shown that the spatial type of Changfeng County was dominated by production space and living space from 2000 to 2020. The production space area decreased the most, to 16.3044 km2, and the ecological space area increased by 50.175 km2, within which the single dynamic attitude was first positive and then negative, with more drastic spatial changes and the fastest expansion rate. The transfer relationship was mainly based on the transfer of production space out and ecological space in; the longest distance and most obvious change was in the center of gravity of ecological space in the first 10 years of the study period, showing a trend toward the southeastern town of Xiatang. In addition, population, the increase in the proportion of tertiary industry structures, and policy regulation are the dominant factors in changes in the PLES in the county. This study provides a basis and support for the rational use of land resources and the balanced and coordinated development of people and land in Changfeng County, which is currently implementing unbalanced development.
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