BackgroundStatistics regarding HPV prevalence and cervical cancer rates in rural China are high, however, low levels of HPV awareness and HPV-related knowledge pose a great challenge for cervical cancer control.MethodsThe authors conducted an educational intervention study, which was embedded in a cervical cancer screening project in Yangcheng county, Shanxi Province, China from October to December, 2011 and was designed to assess the short-term effectiveness of a hospital-based, brief, HPV-focused session on rural Chinese women’s knowledge and attitudes. Student’s t-test was used when comparing quantitative variables. Chi-squared test or Fisher’s exact tests was used when comparing qualitative variables.ResultsWe found that following the intervention, significant increases were detected in awareness regarding HPV (5.9 % vs. 59 %, p < 0.001) and cervical cancer (63.0 % vs. 89.2 %, p < 0.001). Changes were also observed regarding women’s intention to vaccinate themselves (82.0 % vs. 89.0 %, p = 0.001) and their daughters (82.9 % vs. 88.0 %, p = 0.011), although the impact was more modest compared with the impact on change of awareness. Among women who were aware of HPV, 60.3 % knew that cervical cancer is related to HPV, while only 5.0 % knew the relationship between HPV and genital warts after the educational intervention.ConclusionsEducational campaigns, particularly those targeting women with limited education and poor access to public media or other educational channels are needed to improve knowledge regarding HPV in the general population.

The size of a city is not only essential for depicting the scale of the urban system, but also crucial to support the prosperity, order, and high-speed developments. However, its relation to the underlying urban structure has not been empirically investigated in detail. To examine the impact of city size on the city structure and quantify structural features, in this study, a statistical analysis was performed based on network science and an interdisciplinary theoretical system. To obtain the statistical law of internal node layout, the urban system was regarded as a complete graph weighted by the Euclidean distance. The relationship between the urban internal nodes layout (points of interest data, Weibo check-in data, and central point of road intersection data) and the city size was established. The results confirmed the existence of statistical laws in the layout of urban spatial elements, and explored the relationship between the changes in urban node network structure and inequality. This study provided a new perspective of urban structure to understand the complexity of the city, and suggested an approach to adjust this structure to narrow down the gap between the urban and rural areas.

&lt;p&gt;Knowledge creation is essential to encourage regional development especially for areas in regional transition. The positive impact of university-enterprise cooperation on the process has been extensively discussed in previous studies, but a comprehensive picture of the mechanism has not been fully described, such as how academic researches promote practical projects. Modeling this complex nature has been dealt and required by both academia and planner. Toward this target, we propose an empirically founded agent-based model to demonstrate the collaborative network. It uses the literature and patents created in each project as a basis for measuring regional knowledge production and innovation. Based on the analysis of the observed data, a conceptual model of network-based university-enterprise cooperation was constructed with the help of NetLogo. It will simulate the whole process from academic research to industrial practice to explore the driving mechanism of universities for regional knowledge production and innovation. The collaborative network of practice projects is constructed from the partnership data of every project recorded within the REVIERa platform, where each node in the network was classified into fields of research. Knowledge was quantified by metrics such as the quantity and quality of literature. Based on the various characteristics of nodes, networks and their path dependencies, the birth of innovative projects will be simulated and the impact of interdisciplinary on regional transformation will be quantified in the model. The model is based on the real world data and corroborated with it to capture the mechanism and characteristics of this complex process, showing its value to boost the scientific regional planning in the future.&lt;/p&gt;

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