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.

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.

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.

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.

Several recent works show impressive results in mapping language-based human commands and image scene observations to direct robot executable policies (e.g., pick and place poses). However, these approaches do not consider the uncertainty of the trained policy and simply always execute actions that are suggested by the current policy as the most probable ones. This makes them vulnerable to domain shift and inefficient in the number of required demonstrations. We extend previous works and present the PARTNR algorithm that can detect ambiguities in the trained policy by analyzing multiple modes in the probability distributio of pick and place poses using topological analysis. In this way uncertainty in action can be estimated with single inference (and training single model) instead of using ensemble of models. Additionally, PARTNR employs an adaptive, sensitivity-based, gating function that decides if additional user demonstrations are required. User demonstrations are aggregated to the dataset and used for subsequent training. In this way, the policy can adapt promptly to domain shift and it can minimize the number of required demonstrations for a well-trained policy. The adaptive threshold enables to achieve the user-acceptable level of ambiguity to execute the policy autonomously and in turn, increase the trustworthiness of our system. We demonstrate the performance of PARTNR in a table-top pick and place task.

Abstract Innovation is crucial for the competitiveness of countries in the global market. Countries oriented to progress must invest in innovative activities. Using the example of the Western Balkan countries, this study investigated their innovative competitiveness. The indicators of the Global Innovation Index (GII) were used for the years 2019, 2020, and 2021. A multi-criteria approach was based on the innovative SMART approach. The weights of the criteria were determined using the CRITIC (criteria importance through intercriteria correlation) method, while the CRADIS (compromise ranking of alternatives from distance to ideal solution) method ranked the Western Balkan countries according to their innovative characteristics. The results showed that Montenegro had the best innovation indicators, followed by Serbia, while Albania had the worst indicators. This research showed an innovative approach of using four normalizations, and the advantages of these normalizations were used to contribute to stabilization in multi-criteria decision-making.

Flight to the Moon (1969), according to many researchers of the history of science and civilization, is the greatest scientific and technological achievement of the human race. Thus, a centuries-old dream came true: man left Earth for the first time and stepped on another celestial body. Stunned by the achieved success, the scientists set themselves new, more difficult goals, which seemed feasible to them: conquering the planets of the solar system and migrating life to them. And even more and even harder: going beyond the solar system, deep into Cosmos. Analyzing exactly this, undoubtedly, extraordinary success of human thought, and extending it to the scale of the Cosmos, we conclude in this paper that it is a “false symbol”: The moon is so close to Earth that man's flight to the moon is not a flight to Cosmos. We have shown by calculation that, due to the constants that God has determined perfectly precisely and according to which the Cosmos functions (and which, regardless of the development of science, we cannot change), man will never travel through the Cosmos! Thus, the circle is closed: science has led us to God’s instructions as eternal truths given in the Holy Books: God ordained the earth for man’s life.

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.