REACH is an intelligent, people-finding system that helps users to find someone in their social directory, especially those whom they do not fully remember or barely know. It analyzes a user's communication and social networking data to automatically extract all the contacts and derive multiple facets to characterize each contact in relation to the user. It then employs a personalized, faceted search to retrieve and present a ranked list of matched contacts based on their properties. A preliminary evaluation shows the effectiveness of our approach.

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The purpose of this paper is to investigate the pre-enrollment attributes of first-year students at Computer Science BSc programs of the University of Miskolc, Hungary in order to find those that mostly contribute to failure on the Programming Basics first-semester course and, consequently to dropout. Our aim is to detect at-risk students early, so that we can offer appropriate mentorship program to them. The study is based on secondary school performance and first-semester Programming Basics course results from the last decade of over 500 students. Secondary school performance is characterized by the rank of the school, admission point score, and foreign language knowledge. The correlation of these data with the Programming Basics course result is measured. We have tested three hypotheses, and found that admission point score and school rank together have significant impact on the first-semester Programming Basics course results. The findings also support our assumption that students having weaknesses in all examined pre-enrollment attributes are subject to dropout. This paper presents our analysis on students' data and the method we used to determine the attributes that mostly affect dropout.

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In this study, the relationship between challenge stressors and burnout was examined to find out whether the challenge stressors can be one of the root causes of burnout among Mongolian female employees in the banking sector. As the service industry contributes to more than 50 percent of GDP in Mongolia, most employees in the financial sector are females; the adaption of smart technologies in this sector is thriving. Therefore, the first objective was to reveal whether there is a significant relationship between challenge stressors and burnout. The second objective was to test whether challenge stressors are inversely related to burnout and its three dimensions. A quantitative design was applied, and 101 validated questionnaires were analyzed. Overall, approximately 4% of the variance in burnout can be predicated by challenge stressors. A significant and positive association between challenge stressors and burnout (its two dimensions: emotional exhaustion and depersonalization) was found.