U radu je prikazana primjena conjoint analize u proucavanju procesa vrednovanja i kriterija odabira pri kupnji MP3 playera kod segmenta mladih, kao najznacajnijeg segmenta za tu kategoriju proizvoda. Metodologija: Provedeno je nekoliko istraživanja mladih potrosaca u sarajevskoj regiji. Najprije su provedeni nestrukturirani intervjui pomocu fokus grupa u kombinaciji s nizom pitanja visestrukoga izbora i otvorenih pitanja, a sve radi identificiranja varijabli proizvoda i razine njihove važnosti za preferencije potrosaca. Nakon sto su izdvojene glavne varijable i određene razine njihove važnosti, one su kombinirane kako bi se dobili razliciti profili hipotetskog proizvoda. Dobiveni rezultati analizirani su pomocu softvera za conjoint analizu. Spoznaje: Rezultati pokazuju da bi proizvođaci i prodavaci MP3 playara svoje strategije trebali usmjeriti na marku kada ciljaju na segment mladih kao najznacajniji segment za takve proizvode. Istraživanje potražnje i osjetljivosti na cijene pokazalo je da su kupci ove kategorije proizvoda osjetljivi na cijene i zbog toga su spremni mijenjati marke. Ogranicenja: Iako istraživanje obuhvaca vecinu cimbenika koji se odnose na MP3 playere, poželjno bi bilo ukljuciti dizajn kao dodatni cimbenik te vise razlicitih marki. Isto tako, velicina uzorka mogla bi biti veca sto bi omogucilo segmentaciju tržista temeljem dobivenih part-worths.

1 Ahmed Smajlović, MSc, senior assistant; Asima Baković, DVM, expert assistant; Indira Mujezinović, assistant professor; Mehmed Muminović, DSc, full professor; Department for Pharmacology and Toxicology, Veterinary faculty, University of Sarajevo, Zmaja od Bosne 90, 71000 Sarajevo 2 Muhamed Smajlović, DSc, assistant professor, Department of Food Hygiene and Technology, Veterinary faculty, University of Sarajevo, Zmaja od Bosne 90, 71000 Sarajevo 3 Osman Kapetanović, DM; Senada Hadžijusufović, DM; Sanitary Inspection, Ministry of health, canton Sarajevo, Bulevar Meše Selimovića 12, 71000 Sarajevo IDENTIFICATION OF HISTAMINE CONTENT IN FISH SAMpLES

With the movement of magnetic resonance imaging (MRI) technology towards higher field (and therefore frequency) systems, the interaction of the fields generated by the system with patients, healthcare workers, and internally within the system is attracting more attention. Due to the complexity of the interactions, computational modeling plays an essential role in the analysis, design, and development of modern MRI systems. As a result of the large computational scale associated with most of the MRI models, numerical schemes that rely on a single computer processing unit often require a significant amount of memory and long computational times, which makes modeling of these problems quite inefficient. This paper presents dedicated message passing interface (MPI), OPENMP parallel computing solvers for finite-difference time-domain (FDTD), and quasistatic finite-difference (QSFD) schemes. The FDTD and QSFD methods have been widely used to model/ analyze the induction of electric fields/ currents in voxel phantoms and MRI system components at high and low frequencies, respectively. The power of the optimized parallel computing architectures is illustrated by distinct, large-scale field calculation problems and shows significant computational advantages over conventional single processing platforms.