Paper monitors seasonal dynamics of heavy metals bioaccumulation (Fe, Mn, Cu, Zn and Pb) of emerged plant Phragmites australis (Cav.) Trin. ex Steud. on two localities (Necik and Sinjak) in the area of Bardača fishpond (BiH-Republic of Srpska). Dynamics of heavy metals bioaccumulation varied depending on sampling period, locality and plant organ. Concentration, transfer (transport) and accumulation of metals from sediment to rhizome above ground plant part was evaluated based on biological concentration factor (BCF), translocation ability (TA) and bioaccumulation factor (BAC). The highest average BCF value in researched species was determined for Fe (0.87) and the lowest for Zn (0.18). Bioaccumulation coefficient was the highest for Mn (0.82) and the lowest for Fe (0.20) whereas TA was the highest for Zn (2.28) and Mn (2.70). For Fe, it was significantly lower (0.24). Based on values for BCF, TA and BAC, Phragmites australis (Cav.) Trin. ex Steud. could be identified as accumulator for Mn and indicator for metals Fe, Zn and Cu and it has good potential for application in phytoremediation techniques, especially in phytostabilization and phytoextraction of polluted land. Considering the fact that higher degree of bioaccumulation was recorded in the period at the end of season, we could take this period as a signal for their removal from water ecosystems.

The objective of the study was to explore the barriers or the reasons behind the insufficient use of Web 2.0 technology in companies. The empirical research was conducted among managers in companies in Bosnia and Herzegovina during 2015. The results indicate that managers see information technology infrastructure (department size, technology implementation costs) and computer illiteracy as the main barriers to intensified use of Web 2.0 technology in business. The least relevant obstacles are related to the lack of support from, and the inability to protect the data privacy and integrity in an adequate manner. The results indicate that significant efforts to promote the benefits that Web 2.0 technology brings to the business are needed, which would, in turn, significantly affect the perception of their disadvantages.

Over the last few decades, researchers put efforts to improve intelligent tutoring systems' abilities with the aim to get them as close as possible to the ultimate goal of one-to-one tutoring. CoLaB Tutor and AC-ware Tutor are intelligent tutoring systems based on conceptual knowledge learning and are notable due to the fact they are relatively easy to generalize to multiple knowledge domains. CoLaB Tutor's forte lies in teacher-learner communication in controlled natural language, while AC-ware Tutor focuses on the automatic and dynamic generation of adaptive courseware. In order to compare various intelligent tutoring system supported education environments, in this chapter, the authors summarize several empirical evaluations of CoLaB Tutor and AC-ware Tutor. The results of intelligent tutoring systems' effectiveness in these environments offer the possibility to observe the specific intelligent tutoring system across various education levels, as well as to compare the intelligent tutoring systems' supported education environments.

Mastitis is one of the most important diseases in dairy cow farms and one of the most common cause for antibiotic treatment. Aims of this study were: to investigate frequency and trends of clinical mastitis in cows on a large dairy farm, describe clinical characteristics of mastitis and investigate causative infectious agents in selected cases alongside antimicrobial resistance. In our study we used farm records for clinical mastitis recorded for period 2016 and 2017. We also used results of the regular on farm testing of the somatic cell count for 2017. Samples of milk from all clinical mastitis cases were taken during November and December 2017 in order to investigate causative agents and their antimicrobial resistance. Occurrence of clinical mastitis was 205 cases (47.7%) in 2017 compared to 93 cases (29.7%) recorded in 2016. In 2017 reoccurrence of clinical mastitis in same animal was recorded for 93 cows (45.4%). In 2016 reoccurrence of clinical mastitis in same animal was recoded for 49 cows (29.7%). Average course of clinical mastitis in 2016 was 3 days, while in 2017 4.5 days (continuous days of recording a case in farm records). Somatic cell count in more than half of tested animals was higher than 200.000 SC/ml according to the measurements from February and July 2017 (number of cows tested 236 and 169, respectively). Out of 23 milk samples, 20 had bacteriological growth. In 9 samples we identified S.aureus, in 6 streptococcus spp., in 4 coagulase negative staphylococci (CNS) and one sample contained E.coli. Most common resistance was found for lincomycin-spectinomycin (100%) gentamicin (92%), followed by cefquinome (65%), linkomycin (53%) and erythromycin (47%). Isolates of S.aureus were resistant on the largest number of investigated antibiotics.

This Publication has to be referred as: Cekic, A[hmet]; Muhamedagic, K[enan]; Cohodar, M[aida]; Begic-Hajdarevic, D[erzija] & Biogradlija, S[amra] (2019). Experimental Investigation of Effect of Overhang Tool Length on Tool Vibration and Surface Roughness, Proceedings