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Deep learning techniques are required for the analysis of synoptic (multi-band and multi-epoch) light curves in massive data of quasars, as expected from the Vera C. Rubin Observatory Legacy Survey of Space and Time (LSST). In this follow-up study, we introduce an upgraded version of a conditional neural process (CNP) embedded in a multi-step approach for the analysis of large data of quasars in the LSST Active Galactic Nuclei Scientific Collaboration data challenge database. We present a case study of a stratified set of u-band light curves for 283 quasars with very low variability ∼0.03. In this sample, the CNP average mean square error is found to be ∼5% (∼0.5 mag). Interestingly, besides similar levels of variability, there are indications that individual light curves show flare-like features. According to the preliminary structure–function analysis, these occurrences may be associated with microlensing events with larger time scales of 5–10 years.

The topic of this study is the factors that influence the consumption of traditional food products (TFPs) in tourism, as seen from the perspective of management-sector employees in food and beverage catering facilities. The paper aims to analyse the economic, environmental, social, and touristic factors that highly influence the consumption patterns of catering facilities which are significant providers of traditional gastronomic experiences in tourism, by using the specially designed TFPct scale. The study was conducted on a sample of 300 catering facilities in AP Vojvodina (the Republic of Serbia). An explanatory factor analysis was used to confirm the key factors that influence the consumption of traditional products used to prepare the meals that are a part of what catering facilities offer. Subsequently, a binary logistics regression model was used to establish which of the indicated factors has a statistically significant effect on the management’s decision to purchase these products for their catering facility. The study showed that the TFPct scale is appropriate for this type of research, and that economic factors are key factors in the consumption of traditional products. Moreover, compared with other types of catering facilities, interest in the consumption of these products is clearly expressed by a la carte restaurants.

The subject of this paper is the tourist potential of the gastronomic heritage of ethnic minorities inhabiting Vojvodina (Northern Serbia). The task of the paper is to examine the state of authenticity and potential for placement in the tourism market. The goal of the research was to obtain data about the authenticity and representation of authentic and traditional dishes in homes and hospitality facilities and their positioning in tourism. The research was conducted from October 2020 to May 2021 among residents of the region belonging to minority groups (Hungarian, Slovak, Romanian, Croatian, Montenegrin, and Roma). The survey was conducted electronically through cultural, art, and educational institutions that maintain the culture and tradition of the studied ethnic groups. The number of respondents who participated in the research was 619. The obtained data were statistically processed using descriptive statistics, as well as by using t-tests and ANOVA (LSD post hoc), and the reliability of the psychometric scales was assessed by the use of Cronbach’s alpha coefficient. Research has shown that Vojvodina, with its ethnic structure and gastronomic heritage, has the potential to attract tourists motivated by authentic food. Tourism potential of gastronomic heritage are proportionate to the share of ethnic groups; hence, the representation and preservation of the Hungarian, Slovakian, and Croatian cuisines are predominant. The respondents have shown awareness of the activities that would contribute to a better positioning of gastronomic heritage in tourism through implementation in different tourism manifestations and extra marketing activities.