Abstract This video demonstrates microsurgical resection of spinal cord hemangioblastoma. Hemangioblastomas are rare, benign, highly vascularized tumors classified as grade I according to World Health Organization classification systems. About 3% of all intramedullary tumors are hemangioblastomas.1,2 Spinal cord hemangioblastomas are either sporadic3,4 or manifestations of von Hippel-Lindau (VHL) disease in 20% to 45% of patients.5,6  A 30-year-old male presented with sudden onset urinary incontinence. Magnetic resonance imaging showed contrast enhancing intramedullary tumor with adjacent cyst in T11, and syringomyelia extending to C1. Surgical resection followed rules that apply to resection of arteriovascular malformations: coagulation of arterial feeders precedes the coagulation of the draining vein, which is preserved until the end of surgery.2,4,5,7,8  First, posterior midline myelotomy was performed and the tumor cyst was drained in order to develop a dissection plane. Following this, we continuously separated dorsal nerve roots from the tumor nodule using microsurgical technique. The key step in tumor resection is devascularization of the tumor, achievable in 2 ways.2,7,9-13 The circumferential detachment of the normal pia from the tumor pia is crucial in developing a plane of dissection. The coagulation and division of arterial feeders while preserving the drainage vein further devascularizes the tumor. Once the tumor mural nodule was detached from the spinal cord, the drainage vein was coagulated last and the tumor was removed. The patient fully recovered from his incontinence and was neurologically intact. Screening for VHL disease was negative.  Written consent was obtained directly from the patient.

According to estimates from 2010, the Canton of Sarajevo has about 465,000 inhabitants. City logistics centers are normally formed in all cities with more than 300,000 inhabitants. City logistics centers based on traffic and favorable locations on the periphery of cities or in the metropolitan area and connect the input and output streams, coordinate the flow of goods in the supply and the transportation of the urban area. This paper presents the possibility of building a city logistics center at the site of the city of Sarajevo, which we received on the basis of the method of assessment of credits offered three alternative sites. After choosing a location to build a city logistic center on the basis of mathematical methods, we calculated the effects of the electric vehicles in terms of driving energy consumption, economic viability and environmental protection between city logistics center Rajlovac-central zone of the city of Sarajevo. The paper will show the comparison of the efficiency of an electric car with respect to classical internal combustion vehicles and an analysis of the influence of classic diesel, petrol and electric motors on the environment for the planned relationship of the city of the logistics center Rajlovac - the central zone of the city of Sarajevo.

Corrosion reaction is a consequence of metal’s reaction with the environment. Reactions like this are causing huge construction maintenance costs. The most common type of corrosion is electrochemical corrosion, which includes stray current corrosion – it is electrochemical corrosion that occurs mostly on railway structures in urban areas. DC (direct current) transit system operators are using rails as current returning path from the vehicle to the substation. When proper drainage of the track isn’t assured, surrounding media in which rails are embedded becomes an electrolyte which leads to stray current leakage and development of corrosion. At the part where stray current is entering to the rail, rail in under cathodic protection. This is cathodic zone of rail. Corrosion occurs on parts where current is leaking from the rail, in anodic zone where deterioration of material under stray current corrosion effect can be notice. Different type of measures for reducing stray current leakage at the source are used among operators. At that way anodic reaction of metal (rails) with the electrolyte (media in which rails are embedded) can be stopped.

Today in world the road infrastructure is actively monitored, primarily for the safety of all traffic participants, but is also actively tracked for traffic organization, timely response to newly emerging situations that can endanger infrastructure users. Supervision and tracking of transport infrastructure is important from several aspects.By constantly tracking traffic infrastructure and turnover, it is easy to spot potential problems and dangers that occur at a particular location.For active supervision of the road infrastructure is necessary to use modern technology. The use of intelligent transport systems in road infrastructure supervision can be used for preventive action and elimination of potential dangers to infrastructure users. By managing from the supervising center, intelligent warning systems located on motorways, give the possibility to drivers to timely warn at certain risks and difficulties in traffic infrastructure such as certain infrastructure damage, driving time conditions, traffic accidents, black spots, warning about certain works on the infrastructure, and various other driver information, essential for traffic safety. Certain devices installed on the roads are intended to send information on the state of the infrastructure to the main control center. The supervisory center, with timely information, has the ability to actively manage traffic and preventive action. The control center has a special function in the case of traffic accidents through the transmission of information to the urgent services. Particular attention is paid to road infrastructure supervision in large cities where there is a high frequency of vehicles as well as on the highway. This paper presents an overview of the use of intelligent transport equipment for road infrastructure supervision and the advantages of surveillance. The paper shows the review of supervision of road infrastructure in Bosnia and Herzegovina with special emphasis on Corridor Vc, using intelligent transport systems.

In this paper, we propose a self-deployment approach for finding the optimal placement of extenders in which both the wireless back-haul and front-haul throughput of the extender are optimized. We present an artificial intelligence (AI) case based reasoning (CBR) framework that enables autonomous self-deployment in which the network can learn the environment by means of sensing and perception. New actions, i.e. extender positions, are created by problem-specific optimization and semi-supervised learning algorithms that balance exploration and exploitation of the search space. An IEEE 802.11 standard compliant simulations are performed to evaluate the framework on a large scale and compare its performance against existing conventional coverage maximization approaches. Experimental evaluation is also performed in an enterprise environment to demonstrate the competence of the proposed AI-framework in perceiving such a dense scenario and reason the extender deployment that achieves user quality of service (QoS). Throughput fairness and ubiquitous QoS satisfaction are achieved which provide a leap to apply AI-driven self-deployment in wireless networks.

With the advancements of next-generation programmable networks, traditional rule-based decision- making may not be able to adapt effectively to changing network and customer requirements and provide an optimal customer experience. CEM components and implementation challenges with respect to operator, network, and business requirements must be understood to meet required demands. This article gives an overview of CEM components and their design challenges. We elaborate on data analytics and artificial intelligence driven CEM and their functional differences. This overview provides a path toward an autonomous CEM framework in next-generation networks and sets the groundwork for future enhancements.