Herzegovina, and FYR of Macedonia. An exploratory sample of the mentioned countries was 12027 respondents and 231 entrepreneurs with high-growth expectations. Data analysis was made through the SPSS program for statistical analysis. Nature of the observed variables has conditioned usage of Logistic regression. Our findings demonstrate that entrepreneurial motives, entrepreneurial KSA's, innovation and internationalization activity have a positive relationship with high-growth expectations.

The research area of this chapter includes determinants that influence early-stage entrepreneurial activity in the agro sector in the countries of the Southeast Europe region (SEE). The research implies determinants such as national culture, individual entrepreneurial characteristics, as well as entrepreneurial aspirations (growth, innovation, and internationalization). Data for the research was provided by the Global Entrepreneurship Monitor database. To form a research sample, data were collected from agrobusiness entrepreneurs in Hungary, Slovenia, Romania, Croatia, Bosnia, Herzegovina, and North Macedonia. In line with the theory, past research and the result of empirical research, authors propose a model consisted of determinants that influence early-stage entrepreneurial activity in the agro sector in the countries of SEE.

The subject of this research represents analysis of internationalisation activity of early-stage entrepreneurs in South East Europe region (SEE). The goal of this study is to determine characteristics of export oriented entrepreneurs from SEE region through the study of factors influencing international orientation. Geographical area of this research consists of countries from the South East Europe region. The research sample was formed on the basis of GEM - Global Individual Level Data, covering six countries (Slovenia, Croatia, Hungary, Romania, Bosnia and Herzegovina, and FYR of Macedonia), 12027 respondents of which 645 export-oriented entrepreneurs were identified. Collected data are processed using the software package for statistical analysis. With the help of Ordinal Logistic regression, significant influence of individual factors on the international orientation of entrepreneurs was identified. Research results showed that entrepreneurial motives, entrepreneurial KSA’s, innovation and new technology have a positive relationship with internationalization activity. One of the significant limitations of this paper is the lower Nagelkerk coefficient, which is characteristic for social phenomena. Bearing in mind the fact that this research trying to explain entrepreneurial behaviour, lower coefficients can be very meaningfull.

Diffuse gamma ray emission from the Galactic center at 2-3 GeV, as well as the 12 TeV gamma ray excess in the Galactic disk, remain open for debate and represent the missing puzzles in the complete picture of the high-energy Milky Way sky. Our papers emphasize the importance of understanding all of the populations that contribute to the diffuse gamma background in order to discriminate between the astrophysical sources such as supernova remnants and pulsars, and something that is expected to be seen in gamma rays and is much more exotic-dark matter. We analyze two separate data sets that have been measured in different energy ranges from the "Fermi-LAT" and "Milagro" telescopes, using these as a powerful tool to limit and test our analytical source population models. We model supernova remnants and pulsars, estimating the number of still undetected ones that contribute to the diffuse background, trying to explain both the Galactic center and the 12 TeV excess. Furthermore, we aim to predict the number of soon to be detected sources with new telescopes, such as the "HAWC".