UDK: 582.632.1:581.45(497.6) Natural interspecies hybrids of black (Alnus glutinosa (L.) Gaertn) and grey (A. incana (L.) Moench) alder are not frequent in nature but they are registered, and according to modern systematic nomenclature are classified within nothospecies A. × pubescens Tausch.. Since the presence of spontaneous intermediate forms of the genus Alnus in Bosnia and Herzegovina is insufficiently explored, the first results of comparative morphological analysis (seven leaf’s characters) of black and grey alder and their hybrids are given in this study. About 10% of hybrid individuals were present in the studied sympatric populations, and they had more heterogeneous leaves than parental species. Good diagnostic characters showed intermediate values in comparison to the parental species, which are: number of pairs of lateral veins, angle from the top of the leaflet to the top of the upper 3rd nerve, and distance from the top of the leaflet to the top of the upper 3rd vein. According to analyzed characters, hybrids either hold intermediate positions between the parental species or are closer to the maternal species (A. incana). Three new findings of nothospecies A. × pubescens for Flora B&H are rivers’ localities Drinjača near Kladanj, Turbe near Travnik, and Stavnja near Vareš. Due to the low frequency of observed individuals of A. x pubescens, they are vulnerable and require special measures of protection and biodiversity conservation activities of autochthonous gene pool, it is necessary to determine the actual state in all previously published hybrid complexes’ findings and expand researches in B&H in the coming period.

We present a minimalist social robot that relies on long timeseries of low resolution data such as mechanical vibration, temperature, lighting, sounds and collisions. Our goal is to develop an experimental system for growing socially situated robotic agents whose behavioral repertoire is subsumed by the social order of the space. To get there we are designing robots that use their simple sensors and motion feedback routines to recognize different classes of human activity and then associate to each class a range of appropriate behaviors. We use the Katie Family of robots, built on the iRobot Create platform, an Arduino Uno, and a Raspberry Pi. We describe its sensor abilities and exploratory tests that allow us to develop hypotheses about what objects (sensor data) correspond to something known and observable by a human subject. We use machine learning methods to classify three social scenarios from over a hundred experiments, demonstrating that it is possible to detect social situations with high accuracy, using the low-resolution sensors from our minimalist robot.

ABSTRACT Introduction: Many factors concomitantly influence the quality of life of patients with schizophrenia in a long-stay psychiatric facility. Th e appropriate selection of antipsychotics and the intensity of their adverse effects exert a significant influence on the quality of life of these patients. Th e aim of this study was to identify the influence of antipsychotic-related factors on the quality of life of patients with schizophrenia. Methods: Th e study included 102 beneficiaries at the Institute for Accommodation of Adults “Male Pčelice” in Kragujevac. Th e patients were interviewed on in one day using the questionnaire issued by the World Health Organization. The specified data were obtained from the health files of the beneficiaries. We performed a comparison between patients receiving only atypical antipsychotics, typical antipsychotics or a combination thereof. Results: Th e patients who were receiving only atypical antipsychotics demonstrated better physical health quality of life scores in comparison to those who received combined antipsychotics (77.14 vs. 68.57; U = 332.0; p = 0.02). A statistically significant difference in the mental health quality of life domain was observed between groups of patients receiving various antipsychotic treatments (31.96 vs. 55.27 vs. 49.46; c2 = 7.02; p = 0.03). Conclusion: Patients in a long-stay psychiatric facility who received atypical antipsychotics demonstrated a better quality of life in comparison to those who received typical antipsychotics, possibly due to the superior safety profile of atypical antipsychotics and a greater feeling of individual contentment. SAŽETAK Uvod: Na kvalitet života osoba koje boluju od shizofrenije utiče mnogo faktora istovremeno. Kod pacijenata u institucionalnom smeštaju adekvatan izbor antipsihotika i intezitet neželjenih dejstva lekova ima veliki uticaj na kvalitet života ovih pacijenata. Cilj ove studije je bio da se utvrdi uticaj faktora vezanih za antipsihotike na kvalitet života pacijenata koji boluju od shizofrenije. Metode: Istraživanjem je obuhvaćeno ukupno 102 korisnika Zavoda za smeštaj odraslih lica „Male Pčelice” Kragujevac. Korisnici su ispitani u samo jednom izabranom danu korišćenjem upitnika Svetske zdravstvene organizacije. Određeni podaci su prikupljeni iz zdravstvenih kartona korisnika. Poređene su grupe korisnika koji koriste samo apitičan ili tipičan antipsihotik ili kombinaciju ove dve grupe antipsihotika. Rezultati: Korisnici koji koriste samo atipičan antipsihotik imaju bolji skor fi zičkog zdravlja od korisnika koji koriste kombinaciju antipsihotika (77,14 vs. 68,57; U = 332,0; p = 0,02). Postoji statistički značajna razlika u skoru domena psihičkog zdravlja u zavisnosti od grupe antipsihotika koji je korisniku propisan (31,96 vs. 55,27 vs. 49,46; c2 = 7,02; p = 0,03). Zaključak: Korisnici ustanove za dugotrajan smeštaj psihijatrijskih bolesnika koji primaju apitične antipsihotike imaju bolji kvalitet života u odnosu na pacijente koji primaju tipične antipsihotike, verovatno zbog manje izraženih neželjenih dejstava atipičnih antipsihotika i boljeg osećaja subjektivnog zadovoljstva.

The aim of this research was the estimation of anthropometric characteristics of elite male basketball players from four Bosnian first league teams, as well as the identification of possible differ ...