The application of information technology in all areas represents a significant facilitation of all business processes and activities. A competitive business system is hardly imaginable without adequate information technology. Therefore, this paper evaluates the conditions for the implementation of barcode technology in a warehouse system of a company for the manufacture of brown paper. SWOT (Strengths, Weaknesses, Opportunities, Threats) matrix was formed with a total of 27 elements based on which the benefits of the implementation of barcode technology in the warehouse system need to be analysed. For this purpose, a new fuzzy PIPRECIA (PIvot Pairwise RElative Criteria Importance Assessment) method has been developed to evaluate all elements in SWOT matrix. In addition, a part of the new developed approach includes new fuzzy scales for criterion assessment that are adapted to the methodology required by the fuzzy PIPRECIA method. To determine the consistency of the method, Spearman and Pearson correlation coefficients are applied. The results obtained in this study show that weaknesses are most noticeable in the current system. By implementing barcode technology, it is possible to create opportunities defined in SWOT matrix, which, in a very efficient way, allow elimination of the current weaknesses of the system.

Clinical Center University of Sarajevo, Sarajevo, Bosnia and Herzegovina KeYWORdS: carotid artery stenosis, peak-systolic velocity, multiple risk factors. citAtiON: Cardiol Croat. 2018;13(11-12):443. | https://doi.org/10.15836/ccar2018.443 *AddReSS fOR cORReSpONdeNce: Amina Bičo, Clinic of Heart and Blood Vessel Diseases, Clinical Center University of Sarajevo, Bolnička 25, 71000 Sarajevo, Bosnia and Herzegovina. / Phone: +387-61-348-688 / Email: amina.osmanagic@yahoo.com ORcid: Amina Bičo, https://orcid.org/0000-0001-6937-1772 • Alden Begić, https://orcid.org/0000-0002-5374-0892 Dževdet Radončić, https://orcid.org/0000-0001-5917-2956 • Mirza Dilić, https://orcid.org/0000-0002-7309-1455

Introduction: Acinetobacter species is associated with health care associated infections especially in patients on respiratory therapy equipment and indwelling catheters. They are becoming increasingly drug resistant. The knowledge of the prevalence and pattern of antimicrobial susceptibility pattern of Acinetobacter spp. is important. Aims The study is undertaken to estimate the prevalence rate, risk factors and antimicrobial resistance pattern of isolates. in Acinetobacter spp. from various clinical samples. Material and Methods: The isolates of Acinetobacter species obtained from various clinical specimen. Specimens were processed by standard microbiological techniques. Antimicrobial sensitivity tests of the Acinetobacter isolates were done by modified Kirby-Bauer disc diffusion method. Results Out of 622 isolates, 399 isolates were from inpatients (62,18%) and 223 were from outpatients (37,82%). More than 90% of isolates displayed resistance to ampicillin, amoxicillin-clavulanic acid, ceftazidime, caftriaxon and amikacin. Resistance to gentamicin, co-trimoxazole and ciprofloxacin were also common. Least resistance was seen to piperacillin-tazobactam and imipenem. A total of 125 Acinetobacter isolates were analyzed, out of which 78.4 % were multi-drug resistant (MDR). Of these MDR isolates, 17.24% were pan-resistant. A. baumannii was the most common species responsible for wound infection (84,8%), pneumonia(96,15%), abscess (72.7%), urinary tract infection (85,7%) and septicemia(89,5%). Conclusion: Multi-drug resistant Acinetobacter has emerged as an important nosocomial pathogen. Antibiotic susceptibility testing is critical in the treatment of infections caused by Acinetobacter. Continued surveillance of prevalent organisms in ICUs, combined with preventive measures remains absolutely essential in efforts to prevent or limit the spread of Acinetobacter infection.

Editorial for the Special Issue: “Advances in Statistical Modelling for Economic PolicyMaking” in Croatian Review of Economic, Business and Social Statistics

A modular measurement model Extended Kalman filter (EKF) for for unmanned underwater vehicle (UUV) localization is proposed. Except for using measurements from UUV’s sensors, this EKF is augmented by ultra-short baseline range and visual-data based localization from an unmanned surface vehicle, and in-sonar image estimated UUV position. It is shown that the proposed EKF significantly enhances UUV’s navigational accuracy through a collaborative fusion of sensor data from multiple heterogeneous marine vehicles. Also, an Extended Rauch-Tung-Striebel (ERTS) smoother was run aposteriori to further improve UUV’s localization, which is shown to be very useful for accurate post-processing of the data acquired by the UUV.

Abstract This paper is dedicated to connection links and data transportation methods of monitoring system in real time for measurement of direct lightning currents. There are a few different ways to record and locate lightning flashes. To confirm recorded events, different independent systems were used on Broadcasting Center of Montenegro (RDC). Four sensors are embedded and integrated in one system: current transformer, IP camera, electric field sensor and transient recorders. Software platform is developed for lightning activity monitoring system (LAMS) and it provides services for collection, transportation and processing of measured data. Additionally, lightning activity monitoring system is connected with an international lightning location system (LINET). A great number of data were collected, analyzed and compared.