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possible to go through the entire curriculum or to imagine how the individual courses, learning units, outcomes and branches of medicine are interrelated. This paper introduces an innovative analytical approach which helps to identify automatically the most frequent topics based on keyword extraction. Moreover, the
Invalid web links exert a profound negative influence both on detection effect and support evidence of anti-plagiarism system based on the network information resources. For this reason, we utilize the self-developed software ROST CM to detect 57662 academic keyword links of 30 hot research issues from 6 popular
at the previous environments. This paper describes one of such an environmental change and how to recover performance of relevant tools from "before" to "after". One of keywords is Java programming language. And we have designed and implemented our tool with Java programming language not only as Applet but also as Stand
time. Comparing the 'like' query in the standard SQL in relational databases, which can not decide the similarity according users' interests when keywords appear in several different fields, a novel similarity evaluation is given in algorithm of the personalized recommendation. Using the method, a personalized digital
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.