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In the case of exploratory foresight there is a clearly established research distance.
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In this research, Euclidean distance is utilized as a distance measure.
Research the distance from the space station to the landing spot on Earth and the speed of the shuttle in order to calculate the time it takes for a shuttle to touch down on Earth from disembarking from the space station.
We discuss how the solution can be applied to two types of research problems, distance join and vertex set bonding, which are distance-based graph pattern discovery and finding the structure-wise bonding of vertices, respectively.
Yet, very little research on distance education has focused on providing higher education to highly vulnerable and marginalized populations.
On the basis of the Scale Invariant Feature Transform (SIFT) feature, we research the distance measure in the process of image resizing.
However, in the context of educational research, the distance between the individual and educational institution has been used the most often as an instrumental variable.
In this section, we briefly describe related research, Euclidian distance of the average Lab vector, prohibited points, and context-aware saliency.
In previous research, using distance between lenders and borrowers to approximate the ability to get credit-related information on borrowers, Hauswald and Marquez (2006) and Agarwal and Hauswald (2010) found that credit-related information helped credit decisions and could help banks get customers from competitors.
In stigma research, social distance has been identified as a proxy measure of discriminating behaviour [ 49].
However, nearly all of the research on distance learning and e-mentoring has come from the West.
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