Environmental monitoring is one of the main priorities in Europe and in the world, due to the close relationship between human health and the environmental pollution. Biosensors offer generally cost-effective, quick and real-time analytical procedures for environmental monitoring. Due to technological development in last 10 years, this type of biosensors has been developed significantly as well. This paper is review of biosensors for environmental monitoring including water, air and specific soil pollutants (i.e. pesticides), specific toxic components and other micro organic molecules that are containing toxic chemicals in them. Different types of biorecognition elements and transducers, introduced to the public at the end of 20th century and at the beginning of 21st century, are mentioned and explained in this paper.

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.

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.

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.

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 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.

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.

Introduction: Venous thromboembolism (VTE) consists of two entities, deep venous thrombosis (DVT), and its complication, pulmonary embolism (PE). The main therapeutic goal is the prevention of this complication. Aim: The aim of the study was to present epidemiological data of patients with the diagnosis of deep venous thrombosis, with regard to the location of thrombosis, the value of fibrinogen and D-dimer in relation to the sex of the patients, the presentation of therapeutic modality, with the presentation of PE and treatment outcomes. Methods: The study has a retrospective and observational feature, covering the period from 2008 to 2017, and included 1154 patients with the diagnosis of deep venous thrombosis as a basic criterion for inclusion. Data on sex, age, diagnosis with thrombosis localization, hospitalization duration, administered therapy, D-dimer and fibrinogen values, pulmonary thromboembolism and mortality were collected. Results: The deep venous thrombosis was mostly located at the lower limbs - in 1079 respondents (93.5%), then at the upper limbs in 65 (5.63%) cases. The left side is more represented (58.9%) than the right (40.3%), which is statistically significant (χ2=40.03, p<0.005), while 0.9% of patients had DVT bilaterally. At the lower limbs is the most common iliac thrombosis, represented in 47% of thrombosis cases at the lower limbs. Subclavian axillary thrombosis has been reported in ¾ cases at the upper limbs. The mean fibrinogen concentration in all respondents is 5.2 mg/L, for men 5.0 mg/L and for women 5.3 mg/L, above the reference values (1.8-3.8 g/L). The mean value of D-dimer was 7.33 mg/L for all respondents, 8.46 mg/L for women and 6.5 mg/L for men, which was high above the reference limit (0.55 mg/L). From baseline, 88 (7.6%) of respondents had proven/high-grade pulmonary thromboembolism as a DVT complication in the observed period. Pearson correlation established a positive correlation between lethal outcome and patient age, r=0.13, p<0.005, followed by a higher incidence of lethal outcome after DVT in older patients. Conclusion: The incidence of venous thromboembolism is approximately equal among the genders, and increases with the age of the patients, especially in men. Fibrinogen and D-dimer values in hospitalized patients are higher than the reference, in both cases more among women. Multidisciplinary approach to patients, in cooperation with angiologists, pulmonologists, cardiologists and nuclear medicine specialists is an imperative. The development of a state-level registry that would follow the incidence of deep venous thrombosis, with reference to risk factors, is imperative and necessary in planning of community health system.

Introduction: Hypertension is significantly contributing to global mortality and morbidity and has been identified as the most important modifiable risk factor for early development of cardiovascular diseases (CVD). Aim: The aim of this study was to investigate the efficacy of different combinations of antihypertensive therapy on blood pressure, arterial stiffness and peripheral resistance in patients with essential hypertension using the brachial oscillometric ambulatory blood pressure monitor. Methods: This study was designed as an observational, prospective, multi centric study conducted in eight primary care centers of the Health Center of Canton Sarajevo during the period of six months. The study included 655 participants, both genders, aged between 30 and 75, who were diagnosed with hypertension according to the ESC/ESH guidelines. Participants were divided into six treatment groups based on the hypertensive drug therapy they were using; lisinopril, losartan or valsartan alone or in combination with hydrochlorothiazide (A, B and C group respectively) or combination of lisinopril, losartan or valsartan with/without hydrochlorothiazide together with amlodipine (D, E and F respectively). The participants were monitored at baseline, after 3 and 6 months (1st and 2nd follow-up). Brachial oscillometric ambulatory blood pressure monitor was used for measuring systolic (SBP), diastolic (DBP), pulse pressure (PP), pulse wave velocity (PWV) and peripheral resistance (PR). Results: SBP, DPB, PP, and PWV significantly decreased from baseline to 2nd follow-up in all treatment groups. The mean reductions in SBP were from -11.7 (95%CI; 9.3- 14.1) to -23.2 (95%CI; 18.3-28.1) mmHg and DBP reductions varied from -5.5 (95%CI; 3.9- 7.1) to -13.4 (95%CI; 7.7-19.1) mmHg. PWV decreased in all treatment groups (from -3.3% to -8.2%). Treatment regiment was not associated with significant differences in SBP, DBP, PP or PWV reductions or their values measured at 2nd follow-up. Peripheral resistance significantly decreased only in group C (p=0.011), group D (p=0.009) and group F (p=0.027). Conclusion: These data suggest that lisinopril/lisinopril + hydrochlorothiazide, losartan/losartan + hydrochlorothiazide and valsartan/valsartan + hydrochlorothiazide alone or in combination with amlodipine are equally effective and well tolerated for the reduction of both systolic and diastolic blood pressure and improve arterial stiffness in patients with essential hypertension.