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Abstract Tourist boards, through their social activities, can make a tourist destination, tourist attractions and tourist products attractive, unique, and special. Through relevant scientific knowledge, using the tools and techniques of destination management as well as modern forms of communication, tourist boards can make the entire area of a tourist destination very interesting and desirable for tourist visits throughout the year by promoting the specificity, authenticity and originality of the tourist offer and tourist products. Keywords: tourist board; tourism promotion through sports and sports recreation competitions; tourism promotion through social networks, tourism

The primary goal of this research was to determine the differences in kinematic parameters between the first and second serves in tennis among the elite players of the German league. The sample of respondents in this research consisted of 30 elite male senior players of the German League who have "Leistungklasse" from 1 to 7. The kinematic parameters that were analyzed are: Height of ball impact (KPVUL), Racket speed (KPBRE), Ball speed (KPBLO), The angle at the elbow joint of the arm that hits the ball (KPULZ), Oscillation of the vertical projection of the center of gravity of the body (KPOVP), Jump height (KPVSK), Ball launch height (KPVIL), The point of contact between the ball and the racket "sweetspot" (KPMLR), Ball rotation "Top spin" (KPRLO). The video recording required for kinematic analysis was acquired with two Casio EX-F1 digital cameras at a frequency of 200 images per second. The camera was placed at an angle of 900 in relation to the recording plane, and they were at a distance of 10 m. Space calibration was performed with the help of a calibration frame (200 x 200 cm). We have installed Zepp Tennis Smart Sensor 2.0 in the handle of the Wilson Pro Staff RF97 Autograph racket, using the Zepp Tennis application software. "Kinovea" software was used for service analysis and obtaining kinematic parameters from video recordings. By analyzing the results of the T-test for independent samples, it can be seen that there are statistically significant differences in five of the nine analyzed kinematic parameters : KPBRE – kinematic parameter of racket speed (Sig.=.000), KPBLO – kinematic parameter of ball speed (Sig.=.000), KPULZ – kinematic parameter angle in the elbow joint (Sig.=.000), KPMLR – kinematic parameter point of contact between the ball and the racket (Sig.=.000), as well as a variable KPRLO – kinematic parameter of ball rotation (Sig.=.000). Larger numeric values in variables: KPVUL – kinematic parameter ball impact height, KPOVP – kinematic parameter of oscillation of the vertical projection of the center of gravity of the body, KPVSK – kinematic parameter jump height and KPVIL – kinematic parameter ball impact height, show a difference but it is not enough to be statistically different. Key words: tennis, kinematic analysis, racket speed, Zepp sensor

Today, tourism represents a strong and important economic branch, whether it concerns economically developed and underdeveloped countries as well as developing countries. It can increase employment in almost all countries, regardless of their level of development. Today's moment is marked by pronounced global crises, which again have a strong negative impact on the economic and social aspects of society, both globally and locally. Tourism, due to its characteristics and the positive effects it achieves in the process of realizing all activities in its area, can greatly reduce the percentage of unemployment in local communities. This positive effect of reducing unemployment is reflected in the possibility of employment for all categories of the unemployed, and particularly vulnerable groups of the unemployed such as people with disabilities, women, young people, the long-term unemployed, etc. Encouraging tourism in states or certain regions can have a favourable positive effect on employment within the territory. the same. For countries and regions that have developed tourism and that do not have pronounced problems with unemployment, activities through tourism increase the country's balance of payments as additional income through exports. Underdeveloped regions and countries and developing countries, by increasing activities through tourism, in addition to being an important source of income, realize a particularly important positive effect through the reduction of unemployment rates in them. Many developed countries, among which Austria is the leader, as a highly developed tourist destination for a long time, institutionally, have realized and use the potential offered by tourism to increase employment and actively use it to reduce the unemployment rate. Unfortunately, in our country and its tourist regions, where tourism is often one of the most important economic branches, this has not been done and they still record high rates of unemployment. Tourism in Bosnia and Herzegovina and Sarajevo Canton is a sector that can make a significant contribution to faster economic development. In our country and its regions and cantons, there are great potentials for increasing tourism activities, which will generate a greater number of jobs in tourism as well as tourism-related economic branches. To successfully solve the problem of unemployment in Bosnia and Herzegovina, its regions and cantons, positive experiences of tourism development through selective forms of tourism can be used, also using models of successful experiences from the world and the countries of the European Union. Keywords: tourism, unemployment, selective forms of tourism, European Union unemployment, Sarajevo Canton unemployment.

The past decade within Bosnia and Herzegovina and thus in the Sarajevo Canton has shown that tourism has become a significant segment of the economy with a pronounced constant positive growth. He is one of the most important trump cards in economic development and positive recognition of the Sarajevo Canton and thus the state of Bosnia and Herzegovina. The paper analyzes the current state of sports and recreational tourism in Sarajevo Canton in the period from 2011 to 2021 and its possibilities through the sports and tourism offer. The research covered the administrative borders of Sarajevo Canton, which consists of 9 municipalities: Centar, Hadžići, Ilidža, Ilijaš, Novi Grad, Novo Sarajevo, Stari Grad, Trnovo and Vogošća. The paper analyzes the number of registered business entities (tourist units), the number of tourist arrivals (countries from which tourists come and by months of the year), the number of overnight stays, tourist arrivals individually or organized, the analysis of sports facilities and infrastructure for sports and tourism offer (mountaineering, sport climbing, athletic stadiums, swimming pools, bike and mountain bike trails, sports halls, golf courses, mountain walking trails, racetracks (equestrian sports), skating rinks, football stadiums and football fields, ski lifts, ski lifts, snowboard, point and toboggan runs, cross-country skiing, tennis courts). For the purposes of this research, a combination of: primary field research related to the state of sports facilities and sports infrastructure in the Sarajevo Canton as well as a secondary method of data collection through available official data, databases and reports of relevant public, private institutions, media, sports associations. By analyzing the situation and the results we have obtained, we can determine the direction for the development and expansion of services in terms of sports and recreational tourism in Sarajevo Canton. This does not require large investments, especially in the rural parts of Sarajevo Canton, which has all the benefits for further development of sports and recreational forms of offer in the direction of hiking, mountaineering, cycling, running, alpine, touring and Nordic skiing. Sarajevo Canton with its sports and competitive heritage as well as the existing specific sports infrastructure and facilities provide a great opportunity for tourism development and positive recognition of the Canton and the city of Sarajevo. Keywords: Seasonality, sports facilities, sports infrastructure, sports and recreational services and sports programs.

This paper describes the partial wave expansion and integral representation of Bessel beams in free space and in the presence of dispersion. The expansion of the Bessel beam wavepacket with constant spectrum is obtained as well. Furthermore, the sum of a triple Legendre polynomial product of same order but different argument follows naturally from the partial wave expansion. The integration of all Bessel beams over all conical angles is shown to have a simple series representation, which confirms the equivalence between the results for both expansion and integral representation.

Amer Hodžić, Danny Hoang, Gert Haraldsson-Rodhelind, Mikael Ekström, Lnu Supervisor, Fredrik Ahlgren

Honeybees are an essential part of our ecosystem as they take care of most of the pol-lination in the world. They also produce honey, which is the main reason beekeeping was introduced in the first place. As the production of honey is affected by the living conditions of the honeybees, the beekeepers aim to maintain the health of the hon-eybee societies. TietoEVRY, together with HSB Living Lab, introduced connected beehives in a project named BeeLab. The goal of BeeLab is to provide a service to monitor and gain knowledge about honeybees using the data collected with different sensors. Today they measure weight, temperature, air pressure, and humidity. It is known that honeybees produce different sounds when different events are occurring in the beehive. Therefore BeeLab wants to introduce sound monitoring to their service. This project aims to investigate the possibility of detecting deviations in bee-hives based on sound analysis and machine learning. This includes recording sound from beehives followed by preprocessing of sound data, feature extraction, and applying a machine learning algorithm on the sound data. An experiment is done using Mel-Frequency Cepstral Coefficients (MFCC) to extract sound features and applying the DBSCAN machine learning algorithm to investigate the possibilities of detecting deviations in the sound data. The experiment showed promising results as deviating sounds used in the experiment were grouped into different clusters.

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