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In this paper, taking three ethnic minority areas as an example, through a questionnaire to obtain relevant data, according to the characteristics of the ethnic minority areas, using the factor analysis method, we analyse the tourism in ethnic areas of country life with various effects. We summarize the pros and cons, avoid or minimize the adverse impacts within the maximum limits, mitigate the conflicts between the value of resource and the development, find a balance between tourism development and rural construction, realize win-win tourism development and rural construction.
We used a questionnaire to obtain data about 664 university students’ amative behavior in a campus. Then we studied dissemination rules of university students’ amative behavior on campus social network. We found the amative behavior changes over time by focusing on the analysis of love group’s influence to single people and single group’s affected degree. Meanwhile, we compared the influence of single and multiple social relationships to the spread of amative behavior, and the result shows diversity of social relationships is a significant effect factor in spreading process.
In this paper,
through understanding the basic situation of three villages at different stages
of life cycle development about tourism, using the method of grey correlation
analysis from the quantitative aspects, the results show that impact assessment
on rural tourism in different stages is different . The impact on tourism stable stage is the
most; tourism decline stage is relatively weak; tourism development stage is
Mesenchymal stem cells (MSCs) have been recognized as the best candidate for tissue engineering, while the mechanism of biomaterial-induced MSCs differentiation is not well understood. Most of research has been focused on chemical signaling of biomaterial in the past, but a variety of non-chemical signals were also proved to play essential roles in cellular behaviors. In this paper, we reviewed the current reports about the effects of different kinds of biomaterial signals on MSCs differentiation.