Data science or “data-driven research” is a research approach that uses real-life data to gain insight about the behavior of systems. It enables the analysis of small, simple as well as large and more complex systems in order to assess whether they function according to the intended design and as seen in simulation. Data science approaches have been successfully applied to analyze networked interactions in several research areas such as large-scale social networks, advanced business and healthcare processes. Wireless networks can exhibit unpredictable interactions between algorithms from multiple protocol layers, interactions between multiple devices, and hardware specific influences. These interactions can lead to a difference between real-world functioning and design time functioning. Data science methods can help to detect the actual behavior and possibly help to correct it. Data science is increasingly used in wireless research. To support data-driven research in wireless networks, this paper illustrates the step-by-step methodology that has to be applied to extract knowledge from raw data traces. To this end, the paper (i) clarifies when, why and how to use data science in wireless network research; (ii) provides a generic framework for applying data science in wireless networks; (iii) gives an overview of existing research papers that utilized data science approaches in wireless networks; (iv) illustrates the overall knowledge discovery process through an extensive example in which device types are identified based on their traffic patterns; (v) provides the reader the necessary datasets and scripts to go through the tutorial steps themselves.

Since war activities, the previously mixed population of Mostar, Bosnia and Herzegovina, live in segregated parts of the town based on ethnicity. The aim of this study was to examine differences in health risks and health status between populations of the two parts of the town. Health status of 300 randomly selected primary care patients was evaluated by practicing family physicians in two main primary care centers in West and East Mostar. Each group consisted of 150 patients. Data were collected between December 2013 and May 2014. Patients were evaluated for smoking habit, alcohol consumption, body mass index, blood pressure and laboratory measurement of fasting glycemia. Family physicians provided diagnosis of chronic noninfectious diseases (hypertension, diabetes mellitus, cardiovascular disease, malignant disease, depression, and alcoholism). The two groups differed according to age, income, employment status, and rate of alcoholism and hypertension. Alcoholism (OR= 4.105; 95% CI 2.012-8.374) and hypertension (OR=1.972; 95% CI 1.253-3.976) were associated with inhabitants of West Mostar, adjusted for age, employment and income status on logistic regression. In conclusion, ethnic differences between inhabitants of the two parts of the town might influence health outcomes. These are preliminary data and additional studies with larger samples and more specific questions considering nutrition and cultural issues are needed to detect the potential differences between the groups.

UDK: 630*37:630*4     Hauling of heavy and voluminous load (wood) partially through forest wastelands and partially on built roads makes this the most expensive phase, which is also technically the most challenging and most damaging for the forest eco-system. Although it is clear that the realisation of this phase in forest harvesting cannot be completed without certain forest damage, in expert and scientific circles there is general consent that by careful planning and execution in forestry, this damage can be brought down to an ‘acceptable’ level.   One of the reliable indicators of stand damage is the amount of mechanical damage resulting from forest harvesting operations. This damage can be ascertained rather easily and correctly, and the environmental and economic consequences of mechanical damage of standing trees are better known than those resulting from damaging saplings or the soil. (Martinić, 2000).  Pertaining to this, this paper presents the measuring and analysis of mechanical damage to standing trees as a result of hauling trees using the cable skidder ‘Timberjack 225 A’ in the forest unit 17,  Management Unit ‘Gornja Stavnja’, Forest Management Company ‘Gornjebosansko’. The amount of damage was analysed, the place where it occurred on the tree, the level of damage and the surface of the inflicted damage. All the stated analyses were carried out for two ways of skidding wood using a winch (falling and ascending).  Results show, among others, that the stand damage expressed in the percentage of damaged trees of the total tree count is 15.41%, which is the upper limit Martinić (1993) ascertained for this phase of forest harvesting, including the variability of working methods and techniques. Almost half of the damage is stated in the first third of the distance between the skidder path and transport boundary, with the largest amount of damage occurring on the most valuable part of the tree (butt end), especially during slope skidding.

Abstract Glyphosate is a pesticide that influences many blood parameters if taken orally or subcutaneously. This pesticide causes important changes in the metabolic activity which can be measured by organospecific enzyme activity such as liver aminotransferases (AST and ALT), while glucose acts as a stress, energy and metabolism indicator after acute glyphosate exposure. In this research, glyphosate was applied subcutaneously to rats, administrated each 24 hours for a 15 days period. The concentration of the applied glyphosate was 2.8 g/kg. The experimental rats were 13 weeks old. The concentration of serum glucose, the activity of lactate dehydrogenase and liver transaminases (AST and ALT) were observed as indicators of metabolic changes after treatment. It was observed that glyphosate led to a statistically significant decrease of serum glucose level. Statistically significantly increased (p<0.05) AST, ALT and LDH activities are indicators of hepatocyte damage while LDH activity demonstrates damage of other tissues.