background : one of the important health indicators in every society is maternal and neonatal health status. provision of the best prenatal care can reduce mortality rate in these two susceptible groups. this study focused on the effect of maternal care log book on pregnancy outcome. methods : this was a clinical trial and 180 samples were randomly selected from the mothers referred to private ...

In this paper we describe our participation in the Interactive Social Book Search task at CLEF 2015. We focus our analysis on differences in search behaviour between native and non-native speakers of English. The analysis is based on both questionnaire and log data. 49 participants out of the 192 total participants are native speakers and the remaining 143 participants are nonnative speakers. I...

Backgrounds: one of the most difficult tasks carried out by educators in health plan field is educational program assessment and students' clinical evaluation. Logbook is an assessing tool that reduces the distance between the theory and practice; it could be definitely worthwhile for both the professors and the students to achieve the clinical and educational objectives. The purpose of this st...

Seamless learning is an approach in which learners can build a relationship between their formal learning and informal learning. One of the issues of seamless learning is the way to connect formal learning with informal learning. To tackle this issue, we propose an e-Book based system in this paper. Our proposal learning system has two functions. One is an e-Book viewing function which can log ...

This paper deals with mining the logical layer of the Semantic Web. Our approach adopts the hybrid system AL-log as a KR&R framework and ILP as a methodological apparatus. We illustrate the approach by means of an example of frequent pattern discovery in data and ontologies extracted from the on-line CIA World Fact Book.

We present data-driven log file analyses of an electronic text book for history, called the mBook, to support teachers in preparing lessons for their students. We represent user sessions as contextualised Markov processes of user sessions and propose a probabilistic clustering using expectation maximisation to detect groups of similar (i) sessions and (ii) users.