Generative AI holds promise for venture-creation curricula, yet faculty adoption remains hindered by poorly understood incentives and barriers. This study employs a three-stage mixed-methods design to clarify those drivers. A systematic review identified 28 factors, refined by expert panel to 16 key variables. A fuzzy-DEMATEL survey revealed that faculty training, institutional support, and curricular integration exert the strongest causal influence. Clustering these factors yields three intervention domains—pedagogical, organizational, and technological—suggesting a phased adoption strategy. This framework shifts focus from tool access to educator-led implementation, offering academic leaders an evidence-based roadmap for cost-effective AI integration.

An important task of sustainability is the protection of Earth's forests and the prevention of forest fires. In this paper, the numerical examination of a typical Hungarian ash forest fire is presented. The connection between sustainability and forest fire simulations is also discussed. For the simulation, a Fire Dynamics Simulator was selected, and a particle-based model was used. The simulation setup, which includes a random location of trees following Poisson distribution, is also explained. Then, the simulation of a 10x10 m area of ash forest is presented. It was found that in case of arson, the fire spreads rapidly among the trees, and there will be a high-intensity fire in which the forest area burns down in 4 min. The mass loss rate, the temperature, and the heat release rate also increased fast (above 50 kg/s, above 2,000 °C and above 800,000 kW). The aerosol concentration reached a high pollutant concentration (1.3x10^-6), and the carbon dioxide concentration also increased significantly (above 14,000 ppm). These changes have a direct effect on climate change. Therefore, it is important to examine them in a simulation environment. The simulation was compared to a pine tree forest simulation, and it could be observed that in the case of the pine tree, the values are similar, but phenomena occur faster. With the computer simulation, it is easier to determine the areas affected by the fire, which also helps fire prevention and firefighting. The aim of the research is to contribute to the prevention and more efficient extinguishment of wildfires and the sustainability of the Earth.

Work addiction negatively impacts health and well-being, yet little research has focused on managers, whose excessive work involvement can affect entire organizations. This study examined psychological predictors of work addiction and differences between work-addicted and non-addicted managers. Two hundred managers were assessed via the Qualtrics research platform, with work addiction classified using the Bergen Work Addiction Scale. We analyzed 11 psychological measures: exhaustion, disengagement, stress, obsessive and harmonious passion, well-being, work-family and family-work conflict, perceived physical and mental health, and sleep quality. Logistic regression significantly predicted group membership (p < 0.001), explaining 39.7%–57.0% of the variance and correctly classifying 84.5% of cases. Multivariate analysis of variance showed significant differences across all measures except one between the two groups. Work-addicted managers also showed poorer physical and mental health, and lower sleep quality. The prevalence of work addiction was high (29%) in this sample, highlighting the need for targeted interventions. As the first study to identify multiple psychological predictors of work addiction in managers, the findings may be valuable for organizations concerned with occupational mental health. However, cross-national replication is necessary before generalizing results. Recognizing the psychological toll of work addiction can help policymakers develop effective, sustainable interventions.

The issue of autonomous vehicles is one of the most pressing issues of our time that raises important questions regarding the territory of public international law. The development and spread of autonomous vehicles require predictable international regulation, which is extremely necessary in the field of international transport, where several steps have been taken in this direction. The aim of the study is to reveal and evaluate the actual overview of the state of regulation of autonomous vehicles within the field of international transport, paying special attention to the work of United Nations Economic Commission for Europe (UNECE) and the World Forum for Harmonisation of Vehicle Regulations (World Forum). For this purpose, the study analyzes the steps taken so far, presenting the two ways of regulation within these organs: the amendments of the existing rules of international transport and the creation of new documents for autonomous vehicles. With analytical, descriptive and comparative research methods, the study examines the question of whether these regulatory efforts are sufficient and what further steps should be taken to address the issue of autonomous vehicles in a satisfactory manner. The study comes to the conclusion that both the amendments and the new documents created so far have disadvantages, due to which they should be only regarded as starting points and the work should be continued in the direction of a new, precise and binding international treaty or treaties on autonomous vehicles. Based on the results of the study, this solution could contribute to the safety, sustainability and future of autonomous vehicles and international transport.

Background Antimicrobial resistance (AMR) is an urgent global crisis and one of the world's most complex challenges. Although there is increasing evidence of its impact on human mortality and morbidity, precise burden estimation has many challenges, and thus far has been elusive for the Eastern Mediterranean Region. Here, we present a comprehensive time-trend analysis of regional and country-level AMR burden estimates in the WHO Eastern Mediterranean Region (EMR), between 1990 and 2021, with forecasts up to 2050. Methods We estimated deaths and disability-adjusted life-years (DALYs) attributable to and associated with AMR for 11 infectious syndromes, 22 bacterial pathogens, and 84 pathogen–drug combinations for the WHO EMR and each of its countries from 1990 to 2021. Data were obtained from mortality registries, surveillance systems, hospital records, systematic literature reviews, and other sources. We based our modelling approach on five broad components: the number of deaths in which infection had a role, the proportion of infectious deaths attributable to a given infectious syndrome, the proportion of infectious syndrome deaths attributable to a given pathogen, the percentage of a given pathogen resistant to an antimicrobial drug of interest, and the excess risk of mortality (or duration of an infection) associated with this resistance. These components were then used to estimate the disease burden by using two counterfactual scenarios: deaths and DALYs attributable to AMR (considering an alternative scenario where drug-resistant infections are replaced with susceptible infections), and deaths and DALYs associated with AMR (considering an alternative scenario where infections would not occur at all). Predictive statistical modelling was applied to generate estimates of AMR burden for each country. We also generated AMR burden forecasts up to 2050. We generated 95% uncertainty intervals (UIs) for the final estimates by taking the 2·5th and 97·5th percentiles across 500 draws through the multistage computational pipeline, and models were cross-validated for out-of-sample predictive validity. Findings We estimated 380 000 deaths (95% UI 332 000–426 000) associated with bacterial AMR and 92 800 deaths (78 300–111 000) attributable to bacterial AMR in the EMR in 2021. In the past 31 years, there was considerable variation in AMR mortality trends across countries of the region and different age groups. Between 1990 and 2021, associated deaths among children younger than 5 years decreased by 50·0% (38·2–62·0), while those among adults aged 70 and older rose by over 85·7% (95% UI 57·0–115·7). Six pathogens were identified as the primary generators of burden: Streptococcus pneumoniae, Klebsiella pneumoniae, Escherichia coli, Staphylococcus aureus, Acinetobacter baumannii , and Pseudomonas aeruginosa . A substantial increase in the AMR burden due to S aureus was observed between 1990 (28 200 deaths [21 600–34 000]) and 2021 (49 500 deaths [43 100–56 200]); consequently, in 2021, methicillin-resistant S aureus was a leading pathogen–drug combination for most countries in the region for deaths and DALYs attributable to, and associated with AMR. Somalia had the highest age-standardised mortality rates in the region: for deaths attributable to and associated with AMR per 100 000 population in both 1990 and 2021; conversely, the country with the lowest burden in the EMR was Qatar. By 2050, the number of deaths attributable to AMR in region is forecasted to reach 187 000 (157 000–223 000) and deaths associated with AMR were projected to reach 752 000 (629 000–879 000). Interpretation Our study shows that bacterial AMR has been a serious public health threat in the EMR for more than 30 years, with a substantial fatal and non-fatal burden for priority bacterial pathogens and pathogen–drug combinations. The magnitude of this issue, future projects, and the inadequate response capacity in many countries underscore the need for more stringent regional leadership in this field. The insights gained from this study can direct targeted mitigation strategies for individual countries within the region, aiding in resource allocation and funding decisions, and emphasising the need for collaborative multisectoral endeavours among nations to address this issue. Funding Wellcome Trust, and the UK Department of Health and Social Care using aid funding managed by the Fleming Fund.

Introduction: Handgrip strength (HGS) is a key indicator of upper-body strength and overall physical fitness. While its links to health and sports performance have been widely studied, its relationship with the risk of exercise addiction (REA) remains unclear. Thus, the present study examines the relationship between HGS and REA across various sports disciplines, sexes, and national contexts, aiming to deepen our understanding of their intricate interplay. Methods: Using a cross-sectional research design, data were collected from 1,211 high-level athletes from Türkiye (n = 656) and Hungary (n = 555), spanning a wide range of competitive sports. The measures involved demographic questions, the Exercise Addiction Inventory to assess REA, and HGS assessments. Results: We found significant negative correlations between HGS and REA among Turkish female athletes competing in racquet and water sports (p < 0.05). In contrast, significant positive correlations emerged in team sports played with hands and target-based sports (p < 0.05). Statistically significant HGS-REA correlations were also observed among Turkish male athletes participating in gymnastics and esthetic sports (p < 0.05). Among Hungarian athletes, a significant HGS-REA correlation was found in male racquet sports athletes and female athletes engaged in combat sports (p < 0.05). Regardless of sports discipline, a statistically significant positive correlation was observed exclusively among Turkish female athletes (p < 0.05). Conclusion: The present study reveals that the correlations between HGS and the risk of REA may vary depending on country, sex, and type of sport. The findings indicate that HGS may be either positively or negatively associated with REA in specific sports disciplines.

Metaphors are effective tools in tourism promotion, simplifying complex local features for tourists to appreciate. Sustainable tourism, by encouraging responsible habits, allows travelers to engage in environmental conservation while immersing themselves in local cultures. In this context, the primary aim of the research was to seek ways of promoting the unique features of Ban Nong Bua, a Thai village, while addressing global sustainability issues. A further aim was to develop educational material that would make sustainability attractive to local young children and familiarize them with local sustainability practices. During an 8-day stay, a multicultural team conducted action research through observations, interviews and interactions with local people with a focus on sustainable livelihood and tourism promotion. The fieldwork was complemented by regular brainstorming sessions, during which the concepts and plans that led to the final research product were developed based on the material collected and personal experience. The result of the research is the beehive metaphor as a conceptual framework that highlights the harmony and sustainable practices of the local community. The further result of the research is the creation of a booklet for both tourists and local children. On one hand, for tourists, the booklet provides an engaging introduction to the seaside village of Ban Nong Bua, enhancing its appeal as a sustainable destination. It is a complex metaphor that represents the way of life of the inhabitants of the settlement on several levels, such as the close relationship with water, the use of local resources, the division of labor, the high degree of social organization, cohesion and connectedness, or dancing as a specific manifestation of communication. Bees can also be seen as a symbol of sustainability. On the other hand, for local children, it serves as an English language educational tool, fostering an appreciation of sustainable practices through an interactive format. Although the short-term impact of the booklet cannot be measured, the research illustrates how tools such as metaphors can achieve multiple goals in sustainable tourism and sustainability education. The research promotes cross-cultural understanding, supports community sustainability and demonstrates the value of metaphor in tourism promotion. Future research could further explore the use of metaphors in tourism marketing and sustainability education.

Safety in transportation is an exceptionally complex and multifaceted concept. The research focuses on the functioning processes of hazardous transportation facilities - railway crossings with varying intensity and transportation parameters, which require solutions to a wide range of theoretical, practical, and organizational tasks. The integration of innovative technologies, a beacon of hope, to modernize existing crossings and implement cognitive direction systems can help create a safer environment at railway crossings. To reduce the likelihood of human error and improve safety, it is recommended to utilize both existing technologies and innovative opportunities to develop new safety solutions for railway crossings, considering cognitive processes - mental operations used for perception of information, its retention in memory, processing, analysis, interpretation, and utilization for decision-making and problem-solving.

The challenging market in the e-mobility domain requires higher speed of development. To accelerate the time to market of the products, this phenomena is also addressing the tools and methods are used in the procedure of development. System simulations are widely used to control prototyping with validation purposes. Within a frame of a case study this paper presents the most common branches of the e-machine simulation methods. Highlights the main benefits and downsides of the simulation schemes. Draws results and sources from studies, are done in the field of finite element based e-machine modeling and simulation by the engineering community. These applications are evaluated and giving overview about the complexity of model structures, details and the computational sources from the perspective of required value of run-time. Explains the common approaches of the e-machine simulation methods, with an investigation in the field of hardware accelerated finite element analysis. Invests within the available studies and experiences from different non e-machine applications of the finite element method. Consequently notes a form of application and adaption of these techs of the finite element analysis that keep the tempo of development at a high-rate beside to offer a more detailed simulation than traditionally used tools for control prototyping purposes.