This paper presents the results of detailed geological investigations of the Middle Triassic dolomite deposit of Nikolin Potok, which is located west of Bugojno. Based on the established borders of surface distribution and research results, geological reserves of about 4.6 million m3 have been determined in the wider area of the deposit. The dolomite reserves that have been established so far in this area are at a low level of geological exploration. For this reason, the level of research should be significantly increased, because the calculated and confirmed reserves are very modest compared to the potential possibilities. The paper contains a description of the geological characteristics of the area and the qualitative-quantitative characteristics of dolomite. The results of the conducted research point that the general geological and technical-exploitation factors are favorable and indicate profitable exploitation of the deposit in the coming period as well. Taking into account the significant raw material potential, and the possibility of expanding the existing raw material base, this area has a special significance for the perspective development of dolomite exploitation and its use in the production of technical-building stone.

Air pollution is a major problem in developing countries and around the world causing lung diseases such as asthma, chronic bronchitis, emphysema, and chronic obstructive pulmonary disease. Therefore, innovative methods and systems for predicting air pollution are needed to reduce such risks. Some Internet of Things (IoT) technologies have been developed to assess and monitor various air quality parameters. In the context of IoT, Artificial intelligence is one of the main segments of smart cities that enables collecting a large amount of data to make recommendations, predict future events and help make decisions. Big data, as part of artificial intelligence, greatly contributes to making further decisions, determining the necessary resources, and identifying critical places thanks to the large amount of data it collects. This paper proposes a solution, with the integration of the Internet of Things (IoT), to predict pollution for any given day. This paper aims to show how sensor-derived data in smart air pollution monitoring solutions can be used for intelligent pollution management. By collecting data from the air pollution sensor that sends the data to the server via. NET 6 REST API endpoint and places it in a SQL Server database together with additional weather data that is collected from REST API for that part of the day, a dataset is created through the ETL process in Jupyter notebook. Linear regression algorithms will be used for making predictions. By detecting the largest sources of air pollution, artificial intelligence solutions can proactively reduce pollution and thus improve health conditions and reduce health costs.

In order to find the optimal solution for the drainage of rainwater from roads in urban areas, as well as for the evaluation and ranking of conceptual solutions, appropriate mathematical models and software packages were used in this research. For relevant rain episodes, i.e. rainfall of appropriate duration and intensity, runoff coefficients and flows were taken into account and analyzed according to the rational method, all for the purpose of obtaining data on the amount of rainwater entering the sewage system. Through this research, very good correlations and regressions were established between the cross slope of the road and the parameters of rainwater drainage from the road, as well as the correlation and regression relationships of the cross slope of the road and the efficiency of the drain. Likewise, the dependences of the drainage parameters, the efficiency of the drains and the cross slope of the road were determined, expressed through mathematical functions.

Abstract Some recent findings suggest that metformin, an oral antidiabetic drug, may have antitumor properties. Studies have shown that metformin can alter cell metabolism, both tumor and immune cells, which can greatly influence disease outcome. In this review, we discuss the potential mechanisms in which metformin can directly induce apoptosis of tumor cells as well as mechanisms in which metformin can elicit or enhance antitumor immune response.

The study of Bosniak literature in the period of the Independent State of Croatia has been marginalized in previous literary-historical studies, and the reasons for this were ideological and political in nature, and not scientific. This work deals with the status of Bosniak literature in the literary-critical horizons of Vladimir Jurčić, the bellwether of the Ustasha national ideology in Bosnia and Sarajevo, in the period from 1941st to 1945th. As a professor, editor of daily and periodical publications, he wrote about Bosniak literature and its canonical writers in the light of the ideological and political worldviews. He propagated theses about socio-political function of literature that extends „people's spirit”, „racial-biological” and „national” features. Jurčić attributed to literature a mediating role in transmitting the deep identity of the Croatian people, and developing a thesis on the Croatian national identity of Bosnian Muslims (Bosniaks) he treated Bosniak writers as the most representative reflectors of Croatian national consciousness in Bosnia. In addition to individual studies on Bosniak writers, Jurčić stated that they were separate units of the unpublished book Muslims in Croatian Literature. Jurčić's literary critical habitus is a product of socio-political and intellectual circumstances in Croatia - in the narrower sense and in the SHS - in the broader sense, which were used as a starting point for the production of certain ideological, political and cultural values in the NDH. As a follower of the ideological platform of Radić's HSS (peasant movement) and its reflections on discursive practices, especially in the social - humanities sciences (Dvorniković, Radić, Tomašić, Lukas), he interpreted literature in accordance with these practices, reducing its meaning only to ruling ideologues. He valorized Bosniak literature as a component of Croatian literature, applying several criteria: collective, linguistic, territorial and religious, which he sought to include the widest possible range of identity features and thus support the thesis of Croatianness Bosnian Muslims (Bosniaks). In literary criticism, he promoted theses on racial, ethical and eugenic superiority, then on the national spirit, linguistic and stylistic specifics of Bosnian Muslims (Bosniaks) as an „organic“ part of the Croatian people. He emphasized the „poljodjelski“ character of Bosniak writers between the two world wars, while in older literature, especially in the oral literary tradition- and all that for need of ideological manipulation in the time of the Independent State of Croatia - war, he emphasized the highland (tribal) character that manifested itself in the epic-agonal consciousness. All these theses arose from the idea of unity and continuity of the „organic nation“, but did not find a stronghold in Bosnia because it was cultural and historical terms different from the native Croatian space, which was in principle a fundamental obstacle to its realization. Aware of the insurmountability of the cultural, literary and historical uniqueness of Bosnia, Jurčić constructed and established the literary-historical construct „literary Bosnia“ which was based on the theory of the history of regional / provincial literature. By „literary Bosnia“ he meant everything that was its „provincial features“: folk history, genealogy, specific speech (dialect - ikavica), lifestyle (Muslims), and the canonical line consisted of Bosniak writers from Safvet-bega Bašagić, Musa Ćazim Ćatić, Edhem Mulabdić, Ahmed Muradbegović, to Alija Nametk, Enver Čolaković, Murat Šuvalić etc.Since in this period the pretensions towards Bosnia and Bosnian Muslims (Bosniaks) were also part of the Serbian national ideology, Jurčić's „literary Bosnia“ can be understood as a counterbalance to the then established Kršić's literary-historical construct „narrative Bosnia“. Unlike Kršić's „narrative Bosnia“, whose canonical line was mostly made up of Bosnian Serb writers (Ćorović, Kočić, Andrić, Ćopić, etc.), Jurčić's „literary Bosnia“ was made up of Bosniak writers as „the purest element of the Croatian people“.

This paper describes the pilot implementation of blockchain technology (Ethereum) for smart grid data management in the IT environment of electrical distribution company Elektro Celje. The work focuses on the decentralised notation of smart meter data to enable secure access and prevent data misuse. The procedure for setting up the pilot project and the operational functions as well as the results of the performance tests are presented and discussed.

The growing urban population drives implementation of smart city concept in various domains such as health, energy consumption, water management and air pollution systems. This paper describes smart city use case development utilizing FIWARE technology as an open-source efficient, standardized and secure smart city platform. While some basic details about FIWARE is provided, the paper is focused on the smart city architecture and use case development founded on this technology.

Detection of atrial fibrillation (AF) presents one of the main tasks of modern cardiology. In the last few years, the deep learning (DL) emerges as the most frequent approach for accomplishing the task. When deciding to apply DL model for AF detection researchers are facing different choices bringing specific advantages but also imposing specific restrictions. The expansion of publishing, and advancements in this field, demand frequent review of the state of the art. The initial set of 370 papers filtered by keywords of interest, were systematically narrowed to 32 papers in focus. The objective of the paper is to present a comprehensive overview of commonly used ECG databases, signal preprocessing techniques, inputs formatting, DL models used, choice of output classes, and performance metrics achieved.

The end of the 17th and the beginning of the 18th century was marked by radical changes on the demographic map of the Bosnian Eyalet as a serhat of the Ottoman state. In addition to mass migrations of the Muslim population from the lost Ottoman territories towards the interior of the Bosnian Eyalet, there were also continuous movements of the Christian population in the opposite direction. The paper follows the movements of some groups of Christians, mainly those who respond to the bishop's call to settle the desolate areas around Pécs, Szeged, Baja and the surrounding area, but also the migration of other non-Muslim populations towards the Venetian territory, as well as migrations to the „Imperial lands“ due to various political, economic and other factors. While the Venetian government encouraged, with money and investiture, the people to bring families to Dalmatia, and the Austrian government received petitions from the priests of Bosnian monasteries about the difficult situation of Catholics, the Ottoman government throughout that time undertook activities to stop defections, therefore, the paper describes some of the procedures and the situations themselves. Some authors exaggerate when they say that, for example, between 100 and 200 thousand Catholics left Bosnia. The paper shows that according to some reports, 74 thousand Catholics lived in Bosnia before 1683, and 25 thousand half a century later. This is an acceptable number of emigrant Catholics compared to the exaggerations of some chroniclers. An important part of the work is the knowledge obtained from sources, who actually are the non-Muslims that go across the border from the interior and from the borders of the Bosnian Eyalet. Ottoman sources usually refer to both Catholics and Orthodox by the name „kefere“ (a collective noun denoting the non-Muslim population in general). For the Ottoman administration, the most important thing is that it is a category of non-Muslims in order to tax them according to that category. Due to such a situation, it is difficult to give a definitive number of Catholics or Orthodox in a certain period according to Ottoman sources. In the paper, we provide a limited analysis of the case according to some unpublished sources, so it can be seen how many Christians, heads of the household, remained in a certain area. Often, however, it is not possible to know whether they are Orthodox or Catholics, because there are no priests among them. Names are often a problem, too, because patronymics are rare, and names can be tied to a nomenclature common to both Catholicism and Orthodoxy. From the episcopal and friar reports, it can be seen that in that period, the conversion of Muslims also took place, so among the migrants to the north, for example, there were thousands of new Christians. The cities of Požega, Osijek and Brod also lost their Muslim population and hundreds of Catholics from Sarajevo, Kreševo, Modriča and Vrhbosna are coming to them. Registry books record their origin, especially in the first years of the 18th century. The Orthodox and Catholic population from the Herzegovina Sandžak settles mainly in the Boka Kotorska area. An extensive cadastral census from 1701 shows that among the people there are many who come from places that are not affected by war activities. The Orthodox population from Backa and Baranja goes to Slavonia and Srijem, but also to Ottoman territory. On the territory of the Republic of Dubrovnik, war refugees from the Bosnian ejalet are most often Vlachs, especially during the periods of the Moravian War (1684-1699) and the Venetian-Ottoman War (1714-1718). The Ottoman authorities demanded that these people be delivered to them, and the Dubrovnik authorities formally agreed, but they often helped the people to stay there or to go further by sea.

Southern Europe is an exceptionally fire-prone region. Effective prevention, early warning, and early response are important actions that are needed to reduce disastrous consequences on people and structures. Flame pixel classification is the first and often critically important stage of fire detection systems based on computer vision. In this paper, a number of rule-based flame pixel classifiers in still images are studied based on the BoWFire fire dataset. The performances of the considered rule-based flame pixel classifiers are reported in terms of F1 score, Matthews correlation coefficient, and Balanced accuracy. The experimental results demonstrate the effectiveness of simple rule-based flame pixel classifiers for flame detection in still images.

Phenological research of plant species is of great importance in the context of adaptation to climate change and changing environmental factors, especially in dynamic urban environments, such as the area of Sarajevo. This research aims to determine trends in the phenological pattern of hybrid plane trees in the area of Sarajevo so that recommendations can be made for the use of plane trees in greening urban and suburban areas since they largely depend on microclimatic conditions. In this paper, the authors researched the variability of leafing phenology of maple (Platanus × acerifolia (Ait) (Wild)) at six different localities in the area of Sarajevo. Observations were made in the spring of 2009, 2014, 2016, and 2020. Six phenological phases in the spring aspect of leaf development were monitored (0 - dormant buds, 1 - beginning of bud opening, 2 - open buds, 3 - leaf opening, 4 - young leaves, 5 - fully developed leaves). The results showed differences in the beginning and end of phenological phases by years and localities. Analysis of variance showed statistically significant differences in the duration of leaf development phases caused by the year of observation, locality, and the interaction of locality and year, which indicates the influence of seasonal climatic elements and micro-location conditions, as well as their interaction on the occurrence of phenophases. The results of this research can be used to recommend the use of plane trees in selected locations, with the selection of appropriate provenances and respect for phenological characteristics. Research needs to be continued and extended to leaf rejection research, which is particularly significant given the frequent heavy snowfall during the winter months in the investigated area.

Interaction channels are unique opportunities to improve customer satisfaction by offering a consistent problem-solving experience. The role of employees in the contact center is to maintain an appropriate relationship between the company and the customer, thus they are personally responsible for the customer experience. In this paper, an objective evaluation method for evaluating customer-agent interaction, i.e. evaluating calls is proposed. The motivation for evaluating calls stems from the key performance characteristics of a contact center.

Abstract In armed conflicts and crises, children with disabilities face serious threats to their lives and safety, including those related to their inability to flee attacks, risk of abandonment, lack of access to assistive devices, lack of access to basic services and denial of education as well as experiences of stigma, abuse, psychological harm and poverty. Children with disabilities experience multiple and intersecting forms of human rights violations based on their disability and age. Since 2015, Human Rights Watch has documented the impact of armed conflict on children with disabilities in Afghanistan, Cameroon, the Central African Republic, the Gaza Strip in the Occupied Palestinian Territory, South Sudan, Syria and Yemen. While international human rights specifically call for the protection of children with disabilities in situations of armed conflict, the United Nations, governments, parties to the conflict and humanitarian actors have long neglected their specific rights and needs. There is an urgent need for the United Nations and governments to increase efforts to protect children with disabilities as part of their international commitments to protect all children impacted by hostilities. Their attention and investment in those most at risk of violence during armed conflicts will in turn enhance protection measures for everyone.

Image segmentation has an important role in image processing and computer vision and it is widely used in numerous applications, including feature extraction, pattern recognition, scene analysis, object tracking. Due to its simplicity and effectiveness, multilevel thresholding approach to image segmentation has gained increased research attention in recent years. In this paper, the ability of two recently proposed metaheuristic algorithms, Honey badger algorithm and Chef-based optimization algorithm to ascertain the optimal threshold values based on Kapur’s entropy is systematically examined. The performance of the two multilevel thresholding image segmentation methods are assessed on a dataset of nine standard benchmark images. Based on a fixed number of independent runs, for each test image and a given number of thresholds, the multilevel thresholding performance is reported using the mean and standard deviation of Kapur’s entropy as well as the best objective function value and the associated threshold values.

Compared to conventional fire detection techniques, high-precision computer vision-based fire detection systems have a number of desirable characteristics, such as the ability to monitor large areas, provide a bountiful amount of information, and are easy to maintain. This paper extensively and systematically investigates the use of simple color-based rules for pixel-wise flame recognition in still images. The rules are evaluated on a hundred and nineteen test images that correspond to fires in urban environments. The performances of the considered flame recognition rules are reported in terms of Recall, Balanced accuracy, Accuracy, F1 score, and Matthews correlation coefficient. The best-performing rule is identified. More complex classifiers are formed by combining two or more simple rules. The experimental results show that simple color-based rules and some of their combinations can offer effective fire recognition performance.