Although various actors have examined the user acceptance of e-government developments, less attention has so far devoted to the relationship between attitudes of certain commuter groups against digital technologies and their intention to engage in productive time-use by mobile devices. This paper aims to fill this gap by establishing an overall framework which focuses on Hungarian commuters’ attitudes toward e-government applications as well as their possible demands of developing them. Relying on a representative questionnaire survey conducted in Hungary in March and April 2020, the data were examined by a machine learning and correlations to identify the factors, attitudes and demands that influence the use of mobile devices during frequent commuting. The paper argues that the regularity of commuting in rural areas, as well as the higher levels of qualification and employment status in cities show a more positive, technophile attitude to new ICT and mobile technologies that strengthen the demands for digital development, with special regard to optimising e-government applications for certain types of commuting groups. One of the main limitations of this study is that results suggest a picture of the commuters in a narrow timeframe. The findings suggest that developing e-government applications is necessary and desirable from both of the supply and demand sides. Based on prior scholarly knowledge, no research has ever analysed these correlations in Hungary where commuters are among the European citizens who spend extensive time with commuting.

Homosexuality, as a sexual orientation, encompasses individuals who experience love and sexual desire exclusively towards individuals of the same sex. Those who identify with this sexual orientation are referred to as homosexuals. Recognizing that various sexual orientations are equally valid, it is important to understand that homosexuality is a complex phenomenon. This paper aims to shed light on the current state of homosexuality in China. It holds universal significance not only for promoting cultural diversity, protecting human rights, strengthening the legal framework, and advancing society, but also for the well-being and livelihood of this vulnerable group.

Clustering technics, like k-means and its extended version, fuzzy c-means clustering (FCM) are useful tools for identifying typical behaviours based on various attitudes and responses to well-formulated questionnaires, such as among forensic populations. As more or less standard questionnaires for analyzing aggressive attitudes do exist in the literature, the application of these clustering methods seems to be rather straightforward. Especially, fuzzy clustering may lead to new recognitions, as human behaviour and communication are full of uncertainties, which often do not have a probabilistic nature. In this paper, the cluster analysis of a closed forensic (inmate) population will be presented. The goal of this study was by applying fuzzy c-means clustering to facilitate the wider possibilities of analysis of aggressive behaviour which is treated as a heterogeneous construct resulting in two main phenotypes, premeditated and impulsive aggression. Understanding motives of aggression helps reconstruct possible events, sequences of events and scenarios related to a certain crime, and ultimately, to prevent further crimes from happening.

This study examines how the framing of organizational gender-equity policies shapes support among Generation Z employees. Drawing on performativity (Butler, 1990) and intersectionality (Crenshaw, 1991), we conceptualize framing as mediating how Gen Z employees perceive equity initiatives. Using a mixed-methods design, we combine survey data from 4,861 Gen Z respondents in 30 countries with directed content analysis of four HR policy documents (coded for equity vs enforcement, identity recognition, and youth engagement). Results reveal a gender gap: Gen Z women strongly endorse inclusive equity measures, consistent with evidence that women show stronger support for equality policies, whereas Gen Z men are more skeptical of policies framed as exclusive or punitive – mirroring polls finding many Gen Z men say equality efforts have gone too far. These findings suggest that performative policy framing activates social identities differently by gender and that intersectional policy language affects reception. Practically, we recommend framing equity initiatives in terms of shared fairness and collective benefit, using transparent rationale and inclusive identity language. Gen Zers expect fair pay, inclusive policies, and transparency, so HR communications should emphasize fairness and allyship to enhance legitimacy and support among this cohort.

This study employs logistic regression to investigate determinants influencing active living among elderly individuals, with “Active Living” (1 = Active, 0 = Inactive) as the dependent variable. Analysing data from 500 participants, findings reveal significant associations between active living and variables such as chronic conditions (OR = 0.29, p < 0.001), mental well-being (OR = 1.57, p < 0.001), social support (OR = 5.75, p < 0.001), access to parks/recreational facilities (OR = 2.59, p < 0.001), income levels (OR = 1.82, p = 0.003), cultural attitudes (OR = 2.72, p < 0.001), and self-efficacy (OR = 2.01, p < 0.001). These findings highlight the complex interplay of factors influencing active living among elderly populations. Recommendations include implementing targeted interventions to manage chronic conditions, enhance mental well-being, strengthen social networks, improve access to recreational spaces, provide economic support for fitness activities, promote positive cultural attitudes towards aging, and empower older adults through self-efficacy programs. Such interventions are crucial for promoting healthier aging and fostering sustained engagement in physical activity among older adults.