The transport of the tram system on a high capacity corridor in a narrow urban area with increasing demand has become limiting both in terms of capacity and in terms of quality improvement. In this sense, the tram system in Sarajevo, as the primary system of city passenger transport, for many years, requires improvement in order to meet demand. The lack of clear strategies and plans for improving the primary transport system results in interventions of short-term investments in the maintenance of the infrastructure and suprastructure of the classic tramway of outdated and abandoned technology. In this way, the system is brought into a state of very unreliable and unsafe work. On the other hand, it is obvious that the development of individual motorized traffic has led to the fact that the common route has worsened the quality and safety of driving. The paper presents basic guidelines and aspects for the transformation of the classical tram in Sarajevo to the Light Rail System that can reach the fast city railway with the quantity and quality of the offer.

In terms of Rhopalocera diversity Kosovo is one of the least studied areas in Europe. During 2018 we visited Kosovo on several occasions and gathered a total of 500 records of 98 species of butterflies or 57% of the 171 species known from the area so far. While our survey was not systematic and most localities were visited only once, the data gathered provide an important addition to the butterfly diversity of Kosovo. During this survey some species of European importance such as Lycaena dispar and Euphydryas aurinia were observed, adding to the knowledge about their distribution in the region. 14 of the recorded species are listed in the Red book of the fauna of Kosovo while six are listed in the European Red list of butterflies.

The paper shows a comparison of the three different methods to determine stress and strain in a U-shaped pipe compensator which is used to decrease stress in long pipes due to the constrained temperature dilatations. The stress and strain are analyzed analytically first with some parts of the analytical solution obtained numerically, such as integrals with no analytical solution in a closed form, i.e., functional series can be involved as a tool to solve those integrals. The pipe is analyzed as a beam or a planar frame using the Castigliano's method to determine displacements. Since there are curved parts of the U compensator, the curved beam theory is applied. The alternative method to determine the strains and stresses along the pipe is shown using the numerical simulations in SolidWorks. The results are compared with the analytical solution. Finally, the experimental method using a 3D scanner is involved for a comparison to check the applied conditions in the analytical and the simulation model.

Background and Study Aim. Athletic jumps are specific cyclically-acyclic movements that despite the good performance of the techniques require from competitors a high level of motor, specific-motor and functional abilities. The aim of this study was to examine the response effect of vertical and horizontal plyometric training on explosive capacity and kinetic variables in long jump athletes. Material and Methods. The participants of this study were twenty professional jumpers (22.5 ± 4.2 years; 178.4 ± 9.8 cm; 70.3 ± 7.6 kg) who were divided into two groups: experimental (plyometric training) and control (standard training). They participated in the last track and field championship in country, moreover, three of them participated in the last Asian games, and one athlete participated in the world track and field championship. The experiments were conducted on June-July 2019 in twenty professional athletes. All tests were performed after a standard warm up protocol. The place of camera was always determined wisely around the jumping field to attain best photography. Organizing and controlling the imaging and motor analysis processes were done by a biomechanics expert. Results. Post training results in experimental group showed more improvement in 30 m sprint, vertical jump, horizontal velocity at take-off, and long jump completion, comparing the control group. Significant between group differences in all variables were detected post training. No significant post training improvements in flight time and take off duration were reported in control group. Conclusion. Vertical and horizontal plyometric training protocol was shown to be more effective in promoting improvement in explosive capacity than kinetic variables.

Network traffic recognition serves as a basic condition for network operators to differentiate and prioritize traffic for a number of purposes, from guaranteeing the Quality of Service (QoS), to monitoring safety, as well as monitoring and detecting anomalies. Web Real-Time Communication (WebRTC) is an open-source project that enables real-time audio, video, and text communication among browsers. Since WebRTC does not include any characteristic pattern for semantically based traffic recognition, this paper proposes models for recognizing traffic generated during WebRTC audio and video communication based on statistical characteristics and usage of machine learning in Weka tool. Five classification algorithms have been used for model development, such as Naive Bayes, J48, Random Forest, REP tree, and Bayes Net. The results show that J48 and BayesNet have the best performances in this experimental case of WebRTC traffic recognition. Future work will be focused on comparison of a wide range of machine learning algorithms using a large enough dataset to improve the significance of the results.

Infertility is one of the most significant human health problems of the reproductive years. The causes of infertility are diverse and numerous-including non-genetic and genetic factors. A review of this case confirmed this. A balanced translocation was found in two siblings diagnosed with azoospermia. After being unable to conceive, the older brother and his wife had two in vitro fertilization (IVF) failed. At the same time, his younger brother and his wife had one IVF.  After the cytogenetic analysis was performed in both pairs, it was shown that the cause of their infertility was the same balanced translocation in the brothers. The female showed a regular (46, XX) karyotype, whereas the male was found to carry balanced reciprocal translocation [46, XY, t(8;17)(p23;q11)]. This case support that cytogenetic analysis is still the first and basic diagnostic analysis of patients with azoospermia and other reproductive problems.

Internet of Things (IoT) is the inter-networking paradigm based on many processes such as identifying, sensing, networking and computation. An IoT technology stack provides seamless connectivity between various physical and virtual objects. The increasing number of IoT applications leads to the issue of transmitting, storing, and processing a large amount of data. Therefore, it is necessary to enable a system capable to handle the growing traffic requirements with the required level of QoS (Quality of Service). IoT devices become more complex due to the various components such as sensors and network interfaces. The IoT environment is often demanding for mobile power source, QoS, mobility, reliability, security, and other requirements. Therefore, new IoT technologies are required to overcome some of these issues. In recent years new wireless communication technologies are being developed to support the development of new IoT applications. This paper provides an overview of some of the most widely used wireless communication technologies used for IoT applications.

The traditional approach to the analysis of traffic accidents has mostly involved identifying omissions in vehicles and drivers, which led to the occurrence of a traffic accident. However, more recent EU directives dealing with this area emphasize infrastructure failures that may be the real cause of the accident. This approach refers to preventive action, ie the design of such infrastructure that will, in case of failure of the driver, "forgive" the driver his mistake and prevent the occurrence of a traffic accident or reduce the consequences of a traffic accident. To achieve this, a completely new approach to the problem is needed, ie to build, reconstruct and regenerate the road infrastructure according to its real function from the aspect of traffic safety. The realization of these concepts in our area implies primarily the education of all entities that have contact with road infrastructure (designers, managers, auditors, etc.), with emphasis on the fact that savings on the material are significantly less than the savings achieved by reducing the number of accidents, with injured faces and fatalities.

A large number of researchers found their interest in addressing the issue of capacity scaling for wireless ad hoc networks. This paper aims to provide a comprehensive overview of the development of capacity scaling laws in wireless networks, highlighting the problem of scaling as one of the basic challenges in their research. The review began with the definition of the notion of bandwidth of random networks, which were taken as a reference model of consideration when determining more advanced strategies for improving throughput capacity. Based on these strategies, other factors that have an impact on capacity scaling laws have been identified and elaborated. Finally, the capacity of hybrid wireless networks, ie networks in which at least two types of nodes functionally exist (ad hoc nodes/infrastructure nodes / auxiliary nodes), was partially investigated.

U ovome radu istražena je važnost vrsta i porodica drveća u starom povijesnom parku Ilidža površine 16,5 ha, smještenom u blizini grada Sarajeva u Bosni i Hercegovini. Izvršeno je mjerenje najvažnijih dendrometrijskih varijabla (prsni promjer, visina i promjer krošnje) te je utvrđena i analizirana raspodjela broja stabala po debljinskim klasama. Važnost vrsta drveća i njihovih porodica iskazana je pomoću indeksa relativne važnosti, koja je određena pomoću relativne brojnosti i relativne dominantnosti. Rezultati istraživanja ukazuju na linearno inverzno proporcionalnu debljinsku raspodjelu kakva je poželjna u povijesnim parkovima, ali s neodgovarajućim udjelom stabala u najnižoj i višim debljinskim klasama. Najznačajnije vrste drveća, prema indeksu relativne važnosti većem od 10 %, su: gorski javor (Acer pseudoplatanus L.), obični jasen (Fraxinus excelsior L.), velelisna lipa (Tilia platyphyllos Scop.) i javor mliječ (Acer platanoides L.). Dobiveni rezultati imaju i praktičnu primjenu, jer mogu nam pomoći u planiranju kratkoročnih mjera njege i razvoju dugoročnih strategija radi održivog ostvarivanja biološke stabilnosti te svih funkcija urbanih zelenih površina (ekoloških, bioloških, estetskih, socijalnih i dr.).

ABSTRACT Optimal vitamin D status is very important for reflecting not only bone but overall woman’s health. The aim of the study was to determine pharmacokinetic variability of 25-hydroxy vitamin D, to reveal and quantify the most significant factors that affect its variability in the population of healthy non-menopausal women using the population pharmacokinetic (PopPK) approach. The study population consisted of 74 healthy reproductive women aged from 35 to 50 years, without the use of any supplement. A population pharmacokinetics analysis was conducted using a nonlinear mixed-effects model software. A total of 35 factors were assessed: demographic, clinical, biochemical data and lifestyle factors. The average age and bodyweight of our participants were 40.11 ± 4.35 years 65.30 ± 6.80 kg, respectively. The observed mean serum concentration of 25-hydroxy vitamin D was 26.51 ± 13.49 ng/mL with a wide range of 6.97 to 59.89 ng/mL. Development final PopPK model of the clearance of 25-hydroxy vitamin D showed that only the average daily dose of vitamin D intake from food had a significant influence, with a magnitude of its effects of 0.00401. These results could help when individualizing vitamin D intake in the form of supplements, especially during the wintertime, in healthy reproductive women.

Giant paraclinoid aneurysm remains a treatment challenge because of their complex anatomy and surgical difficulties stems frequently from a calcified or atherosclerotic aneurysmal neck and compression of the optic pathways.1-9 To improve exposure, facilitate the dissection of the aneurysm, assure vascular control, reduce brain retraction and temporary occlusion time, and enable simultaneous treatment of possible associated aneurysms, we combined the cranio-orbital zygomatic (COZ) approach9 with endovascular balloon occlusion of the internal carotid artery (ICA) and suction decompression of the aneurysm.4 The patient is a 50-yr-old female who presented with headache and hemianopsia. MRI, CT, and 4-vessel angiography revealed a giant right ophthalmic paraclinoid partially thrombosed aneurysm. Surgery was performed via right COZ approach with removal of the anterior clinoid. Unroofing the optic canal and opening the falciform ligament and the optic sheath, allowing the dissection and mobilization of the optic nerve from the aneurysm and the origin of ophthalmic artery. The endovascular team placed a deflated, double lumen balloon catheter in the ICA 2 cm above the common carotid bifurcation. Proximal control is achieved by inflating the balloon. Distal control is then gained by temporary clipping just proximal of the origin of PcomA.4 Retrograde suction decompression through the catheter partially collapses and softens the aneurysm.1,4,6-8 Carotid occlusion was applied twice, 2:47 and 2:57 min. Intraoperative angiogram revealed the obliteration of the aneurysm and the patency of the carotid and ophthalmic artery. The patient recovered well, and visual deficit resolved and was neurologically intact. Patient consented for surgery. Illustrations in video reprinted with minimal modification from Surgical Neurology, vol 50, issue 6, Arnautović KI, Al-Mefty O, Angtuaco E, A combined microsurgical skull-base and endovascular approach to giant and large paraclinoid aneuroysms, 504-518,4 Copyright 1998, with permission from Elsevier Science Inc.

New computing technologies inspired by the brain promise fundamentally different ways to process information with extreme energy efficiency and the ability to handle the avalanche of unstructured and noisy data that we are generating at an ever-increasing rate. To realize this promise requires a brave and coordinated plan to bring together disparate research communities and to provide them with the funding, focus and support needed. We have done this in the past with digital technologies; we are in the process of doing it with quantum technologies; can we now do it for brain-inspired computing? The benefits and future prospects of neuromorphic, or bio-inspired, computing technologies are discussed, as is the need for a global, coordinated approach to funding, research and collaboration.

Introduction: Dentists and generally dental personnel work under the risk of being infected by patients suffering from COVID-19, who are unaware that they are infected.  The reason lies in the fact that during dental procedures, aerosol is formed with droplets that may contain the virus. Thus, it is extremely important that dental personnel complies with adequate protective measures and equipment during clinical work. The aim of this investigation was to evaluate the knowledge of COVID-19 and determine the amount of stress with dental personnel of the Faculty of Dentistry in Sarajevo, Bosnia and Herzegovina.  Methods: Health care personnel of the Faculty of Dentistry with Clinics of the University in Sarajevo have been included in the research: teaching staff, clinical doctors, dental nurses and dental technicians. The research was conducted in April 2020. It was conducted by an anonymous survey that participants filled-in. Out of 157 distributed questionnaires in paper form, 134 participants responded. The questionnaire was divided into 3 parts: 1) personal data 2) knowledge of infection COVID-19 (diagnostic methods, transmission pathways, prevention measures); 3) the amount of stress (feelings and thoughts) during epidemic COVID-19 with personnel. Results: The largest number of participants (61.97%) consider that COVID-19 may be transmitted from infected to a healthy person by inhalation of droplets generated through coughing of an infected person and by direct contact with aerosol dispersed from the mouth of the infected patient during dental treatment. The largest number of participants, 80 of them (59.7%) consider that the method of nucleic acid test is used in diagnosing COVID-19.  COVID – 19 had a significantly larger influence on females; they showed higher extent of concern for the claim „I hardly fall asleep because of thinking about it“, „I try not to talk on this topic“ and „In my mind appear pictures in relation to this.“ (p<0.05) Conclusion: Knowledge of COVID-19 and measures of protection of health care personnel at the Faculty of dentistry with Clinics in Sarajevo is satisfactory. The largest fear of participants was fear of unconsciously transmitting the infection on people close to them and that members of their families become infected with COVID-19.

PurposeForests are negatively affected from rapid world population increase and industrialization that create intense pressures on natural resources and the possibility of an achieving circular economy. Forests can be considered as essential resources for providing sustainable society and meeting the requirements of future generations and circular economy. Therefore sustainable production tools as part of circular economy can be handled as one of the basic indicators for achieving circular economy. Accordingly the main purpose of this study is developing a novel rough – fuzzy multi-criteria decision-making model (MCDM) for evaluation sustainable production for forestry firms in Eastern Black Sea Region.Design/methodology/approachFor determining 18 criteria weights a novel Rough PIPRECIA (PIvot Pairwise RElative Criteria Importance Assessment) method is developed. Eight decision-makers (DMs) participated in the research, and to obtain group rough decision matrix, rough Dombi weighted geometric averaging (RNDWGA) operator has been applied. For evaluation forestry firms fuzzy MARCOS (Measurement of alternatives and ranking according to COmpromise solution) method was utilized.FindingsAfter application developed model the fourth alternative was found as the best. Sensitivity analysis and comparison were made to present the applicability of this method.Originality/valueDevelopment of novel integrated Rough PIPRECIA-Fuzzy MARCOS model with emphasis on developing new Rough PIPRECIA method.