Reliable language corpus implies a text sample of size n that provides stable probability distributions of linguistic phenomena. The question is what is the minimal (i.e. the optimal) text size at which probabilities of linguistic phenomena become stable. Specifically, we were interested in probabilities of grammatical forms. We started with an a priori assumption that text size of 1.000.000 words is sufficient to provide stable probability distributions. Text of this size we treated as a "quasi-population". Probability distribution derived from the "quasi-population" was then correlated with probability distribution obtained on a minimal sample size (32 items) for a given linguistic category (e.g. nouns). Correlation coefficient was treated as a measure of similarity between the two probability distributions. The minimal sample was increased by geometrical progression, up to the size where correlation between distribution derived from the quasi-population and the one derived from an increased sample reached its maximum (r=1). Optimal sample size was established for grammatical forms of nouns, adjectives and verbs. General formalism is proposed that allows estimate of an optimal sample size from minimal sample (i.e. 32 items).

The distribution of ABO blood groups and the Rhesus factor was analyzed in 279 patients who suffered from malignant tumors of the digestive system. Patients were registered retrospectively in the Gastroenterohepatology Clinic, Clinical Center, University of Sarajevo over a discontinuous period of 88 months. From the results obtained, it was con- cluded that: (a) men became ill from gastric cancer significantly more frequently than women; (b) the frequency of liver carcinoma was three times higher than the global frequency and the frequency neighboring ethnic groups; and (c) patients with blood group B and patients with RhD(-) exhibited a significantly higher proportion of disease.

Bosnia and Herzegovina has a defi cit of most agricultural products, and that is why it is compelled to import signifi cant quantities of food. In order to increase the degree of self-suffi ciency, particularly for those products that have good potentials for production growth, creators of agrarian policy try to apply diff erent agrarian policy measures for stimulation of agricultural production growth. One production with good potential is cattle production, i.e. production of milk and meat, for which Bosnia and Herzegovina has signifi cant development potentials, and for whose advancement there have been provided diff erent supporting measures. Th is paper presents the possible application of the cost-benefi t analysis in evaluation of effi ciency for some supporting agrarian policy measures adopted in order to improve the cattle production in Bosnia and Herzegovina . Th e cost-benefi t analysis was completed for the sixyear period, taking into account the productive period of bought heifer. Th e analysis includes economic and fi nancial parameters (infl ows and outfl ows), which annual amounts were discounted to the present values by utilization of the average social discount rate, in order to put all annual amounts at the same trend of calculation and to account for opportunity capital costs as well.

This paper describes research on a ldquomental commitment robotrdquo. These robots have a different target audience to industrial robots, one that is not so rigidly dependent on objective measures such as accuracy and speed. The main goal of this research is to explore a new area in robotics, with the emphasis on human-robot interaction. In previous research, we classified robots into four categories, which related to their appearance. We then introduced a robot cat and a robot seal, which we evaluated by interviewing a large group of people. The results showed that physical interaction improved their subjective evaluation of the robots. Moreover, a priori knowledge of a subject has a considerable influence on the subjective interpretation and evaluation of mental commitment robots. In this paper, we asked several groups of subjects to evaluate the seal robot known as dasiaParopsila by answering questionnaires that were given out in exhibitions that were held in seven different countries; Japan, U.K., Sweden, Italy, Korea, Brunei and U.S. This paper reports the results of statistical analysis of the evaluation data.