This paper describes a model driven methodology in order to implement an interoperable communication architecture supporting TSO-DSO information exchange. The model driven methodology goes through Smart Grid Architecture Model interoperability layers and leverage international standards. The Use Case approach is utilized for identification of information exchange requirements, which are materialized through Business Objects gap analysis against existing standardized IEC CIM (Common Information Model) profiles. Determined set of standardized Business Objects can be implemented using several communication technologies. Some of these up-to-date technologies are provided by off the shelf solutions such as ECCo SP, a secure and scalable platform provided by ENTSO-E.

Introduction: Compulsory electromyoneurography (EMNG) analysis of all neurophysiological parameters, including the most sensitive parameter for early detection of diabetic polyneuropathy (cutaneous silent periods), in patients without subjective symptoms, and EMNG analysis demonstrates the existence of incipient signs for polynomial neuropathy due to which timely therapeutic approach is needed to prevent complications of diabetic disease and prevent irreversible changes in peripheral nerves. Aim: Examine the influence of type diabetes mellitus, therapeutic modality, and gender of patients on neurophysiological parameters obtained by EMNG analysis. Methods: The study included 90 patients with diabetes who were divided into three groups of 30, depending on the duration of the disease. Group 1 consisted of 30 respondents with type 2 diabetes mellitus and up to 5 years of disease duration. Group 2 consisted of 30 respondents with type 2 diabetes mellitus type and 5 to 10 years of disease duration. Group 3 consisted of 30 respondents with Type 1 diabetes mellitus. An electron-neurography analysis of peripheral nerve in the extremities was performed. Results: Group 1 (50%) and group 2 (56.17%) respondents had statistically higher incidence of tingling than those in Group 3 (13.3%), p=0.004. Tingling was not statistically significantly different in relation to the examined groups (p=0.314). Reflexes were statistically the most preserved in Group 3 (86.7%), p = 0.001. Measurement of motor conductivity values at median nerve had a significant difference in all parameters (distal latency, amplitude, mean conduction velocity (MCV) and latency in the group with DM type 1, compared to respondents with DM type 2. The same significant difference between all parameters was found when testing peroneus nerve. When measuring motor velocity conductivity in ulnar nerve, there was no significant difference in amplitude, while DM1 type 1 patients had significant differences in values: distal latency and MCV p<0.0001, latency p<0.002. Measurement of sensory velocity was not statistically significant between patients with DM types 1 and 2. In relation to therapy, oral insulin therapy was not shown to be of statistical significance, except for tibialis amplitude measurements, where insulin-treated DM patients had a value amplitude of 12.96±1.48, and in oral therapy group less than 0.04 (p<0.05) 9.14±0.93. In the DM type 2 group no, neurophysiological parameters showed significant gender differences, while in respondents with DM type 2, where the disease lasted shorter, a significant gender difference was present in terms of motor velocity and sensory conductivity in all the nerves examines, except MCV in ulnar nerve. In the DM type 1 respondents, a significant gender difference was present in measuring MCV at tibial nerve and peroneus nerve (p <0.01 and p <0.02), as well as latency of MCV in H reflexes (p<0.01), in males was 56.25±1.03 and in females 32.89±0.47. Conclusion: Diabetic polyneuropathy is significantly more present in patients older than 60 years who have type 2 diabetes mellitus (2/3 of those with a duration of 5 years or less and in ½ respondents with DM duration of less than 5 years), without any hesitation on the type of therapy. Measurement values of motor conductivity at median nerve had a significant difference in all parameters (distal latency, amplitude, MCV, and latency F) in the group with DM type 1. The same significant difference between all parameters was also found in n. peroneus. Distal latency values at sural nerve and tibial nerve, latency values and MCV in H reflexes, do not depend on DM type.

Lighting systems based on light-emitting diodes (LEDs) possess many benefits over their incandescent counterparts including longer lifespans, lower energy costs, better quality of light and no toxic elements, all without sacrificing consumer satisfaction. Their lifespan is not affected by switching frequency allowing for better illumination control and system efficiency. In this paper, we present a fully distributed energy-saving illumination dimming control strategy for the system of a lighting network which consists of a group of LEDs and user-associated devices. In order to solve the optimization problem, we are using a distributed approach that utilizes factor graphs and the belief propagation algorithm. Using probabilistic graphical models to represent and solve the system model provides for a natural description of the problem structure, where user devices and LED controllers exchange data via line-of-sight communication.

In this paper, we revisit the data of the San Antonio Heart Study, and employ machine learning to predict the future development of type-2 diabetes. To build the prediction model, we use the support vector machines and ten features that are wellknown in the literature as strong predictors of future diabetes. Due to the unbalanced nature of the dataset in terms of the class labels, we use 10-fold cross-validation to train the model and a hold-out set to validate it. The results of this study show a validation accuracy of 84.1% with a recall rate of 81.1% averaged over 100 iterations. The outcomes of this study can help in identifying the population that is at high risk of developing type-2 diabetes in the future.

The aim of this paper was to compare two business models, namely business to business and business to customer. The first model is oriented towards the delivery of intermediate goods ordered by an immense foreign market leader that is outsourcing a part of its business. The second model is consumers oriented and is more about innovation and the creation of goods ready to be immediately sold on the market. Bosnia is a developing country, and often a place for establishing B2B businesses. However, we are lacking in innovation, our own know-how, and the creation of challenging business opportunities. It also faces the problem of brain drain; therefore, it is in a need of a plan for retaining the youth within the country. The analysis aimed to show how the boosting jobs and living standards in Bosnia, are affected by the investments, exports, and salaries within the B2B and B2C companies. The results showed that Bosnia has a significant potential for raising living standards, employment and salary, if investments are directed towards innovations, knowledge-intensive and B2C businesses instead of labor-intensive investments.

The mountain rescue services in Croatia and BiH have been using UAVs on search and rescue missions for years. They prove to be very effective on the hard-to-reach Mediterranean karsts landscape, characterized by low but not too dense vegetation. After mapping some terrain segment and collecting a large number of precise and detailed footage from above, images are visually scanned and examined by search rescue member/s. In this paper we will examine the effectiveness of visual search of human observers for the purpose of finding missing/lost persons on aerial imagery.

Data mining is the process of knowledge discovery in a certain amount of data. Knowledge discovery in data reflects in the application of sophisticated machine learning methods such as regression, classification, clustering, etc. The focus of this study is the analysis of data from the real production system called Edu720, which is intended for internal education of employees in companies and which is used by numerous companies in Bosnia and Herzegovina and its region. A complex process of data preprocessing, including data cleaning and data transformation, was applied to the considered data set so it can be used in numerous classification tasks. The main goal of this study is to predict the success of the education that the company wants to set up for its employees. Information such as the number of questions in education, the average number of words per question in certain education, the number of employees and the duration of the educational video resource represented in seconds were used as attributes for applied classification methods. Class output represents the level of success for certain educations. K-nearest neighbors and decision tree algorithms were used for classification tasks and the accuracy of the classification was determined by the holdout method. The influence of applying the more sophisticated method for data set partitioning, which uses the K-means clustering method, is also presented.

Introduction: Osteoporosis is a consequence of reduction in bone mass and disorders of bone structure, which makes the bones prone to fractures. Physiological variations of thyroid-stimulating hormone (TSH) may be an early indicator of the predisposing basis of the emergence of osteoporosis. Aim: To evaluate the thyroid hormone status and bone density ratio in euthyroid postmenopausal women in early and late stage of bone loss. Methods: The research is an observational, intersected, controlled study involving postmenopausal women admitted to the Clinic for Nuclear medicine and endocrinology of the Clinical Center University of Sarajevo (CCUS). The study included a total of 120 postmenopausal subjects divided into two groups. First group included 60 postmenopausal patients with osteoporosis, 30 of them were at the early stage of postmenopause, and 30 were in the late postmenopausal phase. The second group consisted of 60 postmenopausal patients with preserved bone mass, 30 of which were in the early stage of postmenopause and 30 in the late postmenopausal phase. For all patients included in the study follicle-stimulating hormone (FSH), TSH, free thyroxine (FT4), free triiodothyronine (FT3) were analyzed. Results: The mean duration of the postmenopausal period was statistically significantly higher in the group of women with osteoporosis (11.4 ± 1.1 years). The mean values of FSH were statistically significantly higher in the group of women with osteoporosis (54.0 ± 2.6 IU / L). The mean level of TSH and FT3 did not statistically significantly differ in the group of women with osteoporosis compared to the control group of women. The mean FT4 level in women with osteoporosis was statistically significantly lower (14.7 ± 0.29 pmol / L) compared to the control group of women (15.95 ± 0.3 pmol / L) (p = 0.004). Conclusion: In our examined group, the FT4 patient (mean) was significantly lower in the serum of women with osteoporosis compared to subjects with preserved bone mass. It would be most effective to recognize risk factors in order to influence them on time, and to alleviate and slow down the consequences of osteoporosis. One of these possible factors is the hormonal status of the thyroid gland, that is, TSH whose physiological variations may be an early indicator of the predisposing basis for the emergence of osteoporosis. The frequency and prevalence of these medical problems require additional research, and it is also a great challenge to understand the effects of thyroid hormone on bone tissue.

<p style="text-align: justify;">In this paper, a model based on numerical solution of two ordinary differential equations is used to obtain the water level in the surge tank and the static pressure in the headrace tunnel &ndash; the properties of essential importance for the functioning of the water supply system during the turbine shut-off. The model allows a fast and reliable simulation of the hydraulic processes in the headrace tunnel and the surge tank. It was validated by comparing the numerical results with the data available from the experiments conducted under real conditions in a surge tank of the HPP Jablanica. This model is used to analyze of influence of different parameters on variations of water level oscillation in the surge tank and the static pressure in the headrace tunnel.</p>

As Yugoslavia fell apart in the 1990s, the Serbs used violence strategically, to achieve permanent divisions between ethnic categories and to thwart future attempts to rebuild trust and normalize interethnic relations. The goal of the violence was to intensify national and religious differences within socialist Yugoslavia’s highly multicultural society. The violence of the war, and the sexual violence in particular, influenced the identity of Bosnian Muslims. It heightened their sense of endangerment and consequently, their feeling of belonging to a persecuted group. This paper analyzes the visual representations of motherhood, violence and victimhood in four films directed by Jasmila Žbanic. It finds inspiration in Žarana Papic’s critical approach to patriarchy and nationalism and Inger Skjelsbaek’s field work among the survivors of sexual violence in Bosnia and Herzegovina. The paper’s main goals are to trace the link between patriarchy, nationalism and the memory of gender-directed violence, and to highlight the transformation of Bosnian Muslim identity within the context of history. Keywords: Bosnia and Herzegovina; genocide; war crimes; sexual violence; patriarchy; victimhood; motherhood DOI: 10.14712/23363231.2019.12 © 2019 The Authors. This is an open-access article distributed under the terms of the  Creative Commons Attribution-NonCommercial-NoDerivatives License , which permits use, distribution and reproduction in any medium, provided the original author and source are credited, the use is non-commercial and no modifications or adaptations are made.