Introduction: Despite growing progress of perinatal medicine and perinatal care, between 9-19% of preterm infants are born each year. Improvement in survival of infants and the reduction in infant mortality rates is a key role of perinatal quality healthcare. The Aim: To evaluate the perinatal outcome of preterm infants in maternity wards of the Federation of Bosnia and Herzegovina for a period of one year. Material and methods: Of 22 897 live newborns, the research criteria matched 669 (2.9%) preterm in- fants with complete medical records in ten cantons of the Federation Bosnia and Herzegovina. We analyzed data from maternity wards documentation and dischar- ge letters from tertiary health care centers. Results: Most deliveries were in the Tuzla and Sa- rajevo Canton with 42.5% of preterm infants. The mean gestational age of preterm infants was 31.4 weeks, with SD ± 5.34, and the mean birth weight 1295 grams, SD ± 234.2. The mean Apgar score was 4.6 ± 2.1, and in the fifth minute 6.6 ± 1.9. Of 669 examinees, there were 345 (51.56%) males and 324 (48.44%) females (51.56 vs 48.44; 2 = 1.19; P = 0.27). By analyzing the frequency of preterm infant birth rate according to weight categori- es, we found a significant difference in some levels of perinatal health institution, between the 1 st

Student engagement should be one of the most powerful drivers for improvement of quality teaching in higher education. As students are direct beneficiaries of quality teaching, they are able to provide crucial feedback not only on what works well but also on what they would like to be done differently and how. The paper presents results of research related to students' perception of course Accounting Information Systems (AIS) and way of its implementation at the Faculty of Economic - University of Mostar. At this course lectures include many opportunities for active student engagement through cooperative learning activities (debates, team work, and presentation of project results). The authors developed two questionnaires in order to investigate the students' understanding of AIS course at the beginning and at the end of lectures. At the first class students completed a questionnaire about their expectations from AIS lectures (content, their engagement, learning activities, learning outcomes, assessment) and at the last class they completed another questionnaire about their real experiences related to AIS lectures. Research has been conducted for last two years and it enabled authors to use its results to tailor lectures in accordance with student's expectation and accordingly to improve teaching process. DOI: 10.5901/jesr.2015.v5n1s1p147

Abstract Power system is constantly exposed to disturbances of varying intensity and cascading propagation of disturbance that can lead to partial or total power system blackout. Some of the consequences are network topology changes, outage of generator units or occurrence of low-frequency electromechanical oscillations (LFEO). One of the techniques for signal analysis and processing used in the past 20 years for power system disturbance analysis, and helped in better understanding of power system dynamic, is Wavelet Transform (WT). This work reviews WT applications for power system dynamic behavior analysis. With research made on vast literature it can be concluded that WT technique has different applications in disturbances identification and localization, LFEO identification and analysis, and assessment of active power imbalance.