Social Prescribing (SP) is an approach which aims of improving health and well-being and connecting patients to community services. Examples of these services include physical activity and cultural activities. Despite its benefits, SP has still not been fully implemented in Portugal. This case study is part of a larger study on Social Prescribing Local System (SPLS) implementation, which comprised a quantitative approach, a pilot study and a qualitative approach, and aims at exploring patients’ and healthcare workers’ perspectives on SP. The study was carried out to understand the motivations of different stakeholders for participating in the pilot project, the anticipated benefits for patients, healthcare professionals, and the health unit, as well as their perceptions and experiences within the scope of the SP project. Data collection was carried out in December 2020 through semi-structured individual interviews and a focus group. A total of seven participants were included, of which one patient, one museum representative and five healthcare professionals. Different common dimensions related to SP emerge, including health and well-being, social interaction and community engagement, accessibility and inclusivity, motivation and adherence, collaboration and coordination, and education and awareness. The patient considered the adequacy of the activity to the patient’s state of health and capabilities, adoption of a phased approach, with a focus on progress, in order to promote long-term adherence as facilitators. For the museum, disseminating its activities to healthcare professionals and patients through different channels such as posters at the health center, social media pages, and training sessions can significantly enhance visibility and engagement, while direct phone contact and digital publications can further promote adherence, ensuring a comprehensive and coordinated approach to patient participation and institutional benefit. Healthcare professionals identified several benefits, including reduction of social isolation and sedentarism, as well as a means of strengthening the therapeutic relationship with patients. The design and implementation of SP programs should be participative and involve all stakeholders participating in the process. Barriers to adherence included time for activity and the associated costs or prerequisites, availability of activities and lack of perceived interest in health.

The proportion of elderly people is growing steadily in many countries, and this trend is expected to continue. As a result, ageism—negative discrimination often tied to perceptions of the elderly—becomes especially harmful. Ageism prevents older generations from being fully accepted by society and, in turn, hinders their ability to adapt to today’s technological changes. In this article, we present the results of our survey mapping the extent of ageism among youth in Uzbekistan, known for its cultural tolerance in Central Asia, and in Hungary, a more individualistic society in Central Europe. To interpret the survey results accurately, we included specific questions to measure social desirability bias, enabling a realistic comparison of ageism levels between the two countries. Data was collected through a survey translated into multiple languages, with a final sample of nearly 400 respondents, each either currently pursuing or already holding a college-level diploma. Our methodological approach was twofold. First, we conducted simple chi-square tests to compare levels of negative and positive ageism between the two countries under study. Upon finding significant differences, we used multivariable OLS regression to explain the variance in types of ageism in Uzbekistan and Hungary, accounting for the possible effects of social desirability bias. Uzbek youth demonstrated higher levels of positive ageism and lower levels of negative ageism compared to Hungarian youth. This finding confirms that the cultural tolerance in Uzbek society remains strong and, in many ways, could serve as a model for Hungary. Additionally, our literature review highlights that adequate infrastructure is essential for a society to treat older adults equitably alongside other citizens.

The present study focuses on improving Cognitive Radio Networks (CRNs) based on applying machine learning to spectrum sensing in remote learning scenarios. Remote education requires connection dependability and continuity that can be affected by the scarcity of the amount of usable spectrum and suboptimal spectrum usage. The solution for the proposed problem utilizes deep learning approaches, namely CNN and LSTM networks, to enhance the spectrum detection probability (92% detection accuracy) and consequently reduce the number of false alarms (5% false alarm rate) to maximize spectrum utilization efficiency. By developing the cooperative spectrum sensing where many users share their data, the system makes detection more reliable and energy-saving (achieving 92% energy efficiency) which is crucial for sustaining stable connections in educational scenarios. This approach addresses critical challenges in remote education by ensuring scalability across diverse network conditions and maintaining performance on resource-constrained devices like tablets and IoT sensors. Combining CRNs with new technologies like IoT and 5G improves their capabilities and allows these networks to meet the constantly changing loads of distant educational systems. This approach presents another prospect to spectrum management dilemmas in that education delivery needs are met optimally from any STI irrespective of the availability of resources in the locale. The results show that together with machine learning, CRNs can be considered a viable path to improving the networks’ performance in the context of remote learning and advancing the future of education in the digital environment. This work also focuses on how machine learning has enabled the enhancement of CRNs for education and provides robust solutions that can meet the increasing needs of online learning.

The research aims to map environmental protection strategies and the related control tools and to identify the links among companies with the largest number of employees and sites in Hungary. The research questions were answered using a questionnaire survey method. The authors used cluster analysis to classify the 205 company strategies into the identified strategy clusters: Leaders, Awakeners, and Laggards. Then, the examined 21 environmental management control tools in the sample were divided into four groups: strategic, administrative, methodological and economic. Economic and strategic methods were the most common in the sample. The authors used cross-tabulation analysis to examine whether there is a statistically proven relationship between belonging to environmental strategy clusters and specific control tools. The analysis showed significant but weak to moderate relationships. According to Cramer’s V and the contingency coefficient, the closest relationship between the tested environmental management control tools and membership in environmental strategy clusters is shown by evaluating investments, assessing the economic viability of environmental strategies, and running an environmental training program for employees. In case of the robust lambda indicator, a significant relationship was found by examining the economics of environmental strategies and identifying environmental success factors and eco-balances. It can be concluded that the companies under examination follow a set of environmental goals, which they have incorporated into their strategic objectives. They use the available environmental management control toolbox to develop their strategies and to monitor their implementation to varying degrees.

The primary purpose of the current study is to investigate the impact of entrepreneurial orientation on the international performance of SMEs. In addition, the study has also examined the mediating Role of social capital and global mindset in the relationship between entrepreneurial orientation and the international performance of SMEs. The present business situation for Sustainability depends on the company’s capability and the existing capital, which comprises expertise, skills, and company capability, which force its ability to compete and utilize the valued resources with strategy. In organizational processes, a company’s abilities and capital enhance its performance, especially in profit earning and forming a strategy. According to the resources-based theory, the group of internal abilities and resources in the firm may produce competitive benefits and result in more excellent performance. We have used PLS path modeling in the present study to analyze the theoretical model. Entrepreneurial orientation is a resource that indicates the extent of a business’ proactive state, risk-taking innovativeness, competitive belligerence, and autonomy. Regarding the effect of social capital on international performance, the findings demonstrate a significant and positive correlation between the two variables regarding the effect of a global mindset on international performance; the findings indicate a significant correlation between the two variables. In general, the findings of this current study are consistent with those of previous ones, whereby the global mindset is indicated to play a significant role in achieving international performance for SMEs. The findings also align with the theory of contingency assertion about the global mindset, whereby the positive effect of intellectual intelligence on international performance is confirmed.

Given the multifaceted nature of crime trends shaped by a range of social, economic, and demographic variables, grasping the fundamental drivers behind crime patterns is pivotal for crafting effective crime deterrence methodologies. This investigation adopted a systematic literature review technique to distill thirty key factors from a corpus of one hundred scholarly articles. Utilizing the Principal Component Analysis (PCA) for diminishing dimensionality facilitated a nuanced understanding of the determinants deemed essential in influencing crime trends. The findings highlight the necessity of tackling issues such as inequality, educational deficits, poverty, unemployment, insufficient parental guidance, and peer influence in the realm of crime prevention efforts. Such knowledge empowers policymakers and law enforcement bodies to optimize resource allocation and roll out interventions grounded in empirical evidence, thereby fostering a safer and more secure societal environment.