Many state-of-the art visualization techniques must be tailored to the specific type of dataset, its modality (CT, MRI, etc.), the recorded object or anatomical region (head, spine, abdomen, etc.) and other parameters related to the data acquisition process. While parts of the information (imaging modality and acquisition sequence) may be obtained from the meta-data stored with the volume scan, there is important information which is not stored explicitly (anatomical region, tracing compound). Also, meta-data might be incomplete, inappropriate or simply missing. This paper presents a novel and simple method of determining the type of dataset from previously defined categories. 2D histograms based on intensity and gradient magnitude of datasets are used as input to a neural network, which classifies it into one of several categories it was trained with. The proposed method is an important building block for visualization systems to be used autonomously by non-experts. The method has been tested on 80 datasets, divided into 3 classes and a "rest" class. A significant result is the ability of the system to classify datasets into a specific class after being trained with only one dataset of that class. Other advantages of the method are its easy implementation and its high computational performance.

In this work, the fatty acid (FA) composition of muscle tissue of baby-beef cattle was investigated with regard to its nutritional value. Twenty six Simmental cattle of both sexes produced under the intensive conditions of housing and feeding were slaughtered at the age of one year and final weight of 489.6p 46.5 kg. The portion of muscle (m.longissimus dorsi) was taken for the chemical analysis at the level of 8th rib on cooled halves 24 h post mortem. Muscle fat content was determined by Foss-Let apparatus after extraction of lipids with tetrachloroethylene. Fatty acid composition was determined by gas liquid chromatography using in situ transesterification method and given as % of total weight of fatty acids. The average muscle fat content was 18.96 g/kg (95% CI 14.09-23.83). The average proportions of saturated FA (SFA), monounsaturated FA (MUFA) and polyunsaturated FA (PUFA) in muscle tissue were 43.03 (95% CI 42.19-43.87), 43.05 (95% CI 40.74-45.36) and 13.08 % (95% CI 10.96-15.19), respectively. The indicators of nutritional quality of fats like ratios of PUFA to SFA (PUFA/SFA) and n-6 PUFA to n-3 PUFA (n-6/n-3), as well as the atherogenicity index (AI) in muscle were 0.31 (95% CI 0.25-0.36), 13.51 (95% CI 12.59-14.43), and 0.60 (95% CI 0.58-0.63), respectively. These results suggest a need for the improvement of nutritional value of baby-beef fats through the modifications of its FA composition, primarily through n-3 PUFA enrichment.

Ischemic stroke (IS) is defined as rapid development (focal or global) of clinical signs of brain function disorder with symptoms lasting 24 hours or longer, or leading to death, without other clear causes except destruction of blood vessel.1 Anxiety does occur in patients with IS, but not in those with intracerebral hemorrhages.2 Astrom found symptoms of anxiety in 28% of patients in acute phase of stroke.3 The aim of this study was to analyze anxiety in patients within 48 hours (hyperacute and acute phase) and 15th day (subacute phase) after the IS in relation to gender and location of the lesion. PATIENTS AND METHODS

UDK 630*23/.24:582.632.2(497.6 Sarajevo)          630*111/.114:582.632.2(497.6 Sarajevo) Panjače bukve u BiH zauzimaju površinu od 351.000 hektara, što je oko 13 % od ukupne površine šuma i šumskog zemljišta. Proizvodne mogućnosti ovih šuma nisu potpuno iskorištene pa je potrebno uzgojnim zahvatima poboljšati njihovo stanje. U ovom radu analizirane su stanišne karakteristike panjače bukve na lokalitetu "Musići" kod Sarajeva. U 60-godišnjoj panjači bukve postavljene su (u proljeće 2007. godine) dvije eksperimentalne plohe na kojim su provedena dva načina prorjeđivanja i to: selektivna prorjeda i selektivna prorjeda sa čišćenjem zaostalih i loših izbojaka sa panja. Stanišne i strukturne karakteristike imaju odlučujući značaj kod odabira načina prorjeđivanja panjača u cilju prevođenja u viši uzgojni oblik. Prorjedu treba prilagoditi stanju u kojem se panjača nalazi. Selektivna prorjeda uz uklananje zaostalih i loših izbojaka sa panja treba biti osnov za buduće mjere njege u mlađim panjačama bukve.