The global character of sustainable development has made agritourism a popular phenomenon in both developed and developing countries, as it is advantageous from the standpoint of local economic and social development. Sustainability criteria play a vital role in controlling the quality of agritourist services of leader countries in agritourism. However, the development of agritourism in Uzbekistan has very different characteristics and development levels compared to other countries, especially countries in Western Europe. This article explores the integration of sustainability principles within the quality of agritourism services in Uzbekistan. As Uzbekistanʼs agritourism industry continues to grow, the importance of sustainability criteria in ensuring the quality of agritourist services becomes increasingly evident. A survey was conducted to investigate the importance of sustainability in the quality of agritourism services in Uzbekistan. The research findings indicate that there is a growing interest in agritourism in Uzbekistan. However, there is a need to improve the quality and sustainability of agritourism services in order to meet the expectations of tourists. This, in turn, enhances the overall visitor experience and contributes to the long-term sustainability of the industry. This article, relying on quantitative method, reveals the assessment of quality of agritourism services in Uzbekistan from the sustainability point of view. In the context of Uzbekistan, the article emphasizes the nationʼs strategic initiatives to promote sustainable resource management, water efficiency, conservation, and environmental preservation in its agricultural and agritourism sectors ensuring the delivery of high-quality services and products while contributing to environmental preservation.

The sector of agriculture is one of the most crucial in the context of ensuring food security as well as in the care for sustainable development. The food security can be improved through several aspects, one of them being the agriculture system transition, implementing more and more regenerative measures. From the agriculture transition, due to the efforts needed to achieve the expected level of green transition, farmers themselves are expected to benefit less than the future society and nature in a whole. Yet both financial institutions and agriculture companies have not reached a common understanding, what requirements should be in place to establish mutually beneficial financial products to achieve the expected level of transition in a timely manner. The aim of this study is to evaluate funding options for agriculture transition in Baltic countries – Latvia, Lithuania, and Estonia. In total, for screening purposes, 29 different Banks operating in the Baltics were identified. The analysis of the financial product purposes provides a high-level perception, that loans, even if not indicating signs of support for green transition, may still support the improvements of overall country and society sustainability. The expert judgement was used to find potential links with the United Nations Sustainable Development Goals (UN SDGs) identifying the potential SDGs that could be tackled when providing the financing to the specific purpose. Only two banks are observed to provide financial products that can be assessed as focused on green transition, and this research shows that financial products for agriculture companies willing to transition to sustainability are not broadly available.

Two approaches to incorporating black alder (BA) bark extractives-derived polyol into a polyurethane (PU) network were studied. In the first case, fractionation of bark extractives with tetrahydrofuran (THF), focusing on isolating the biomass fraction available for obtaining PU elastomers by casting methods using cyclic ethers as a solvent, was employed. Another approach aimed to obtain liquid bio-polyols that could be suitable for producing rigid PU foams. For this purpose, oven-dried crude BA bark water extracts were liquefied with polyethylene glycol (PEG 400) at temperatures of 130–170 °C. The effect of adding sulfuric acid as a catalyst on biomass processing was studied. Wet chemistry, GC, FTIR spectroscopy, analytical pyrolysis (PyGC/MS/FID) and rheological methods were employed to characterize the obtained polyols and insoluble fractions, enabling an assessment of biomass transformation during processing. The resulting THF-soluble fraction comprised 62% of the BA bark extract, mainly consisting of the xyloside form of the diarylheptanoid compound oregonin, along with oligomeric flavonoids and carbohydrates. The THF-insoluble fraction was most enriched with carbohydrate compounds. Moreover, it was observed that the PEG 400-insoluble fractions were predominantly composed of carbohydrate components. The results indicated that the use of sulfuric acid as a catalyst (1–1.5% of solvent) promotes the complete liquefaction of extractives, enabling biomass content in polyols of up to 15–25%. Surpassing the extract content in the starting suspension up to 30% resulted in incomplete liquefaction of biomass. These findings offer valuable insights into tailoring BA bark extractives as building blocks suitable for obtaining PU materials.

Monitoring the operation of car engines using a smartphone and cloud services is a concept that falls within the field of intelligent vehicle technologies. Using information collection system, vehicle fleet companies can effectively manage the usage of their vehicles, minimizing investment and maintenance costs, preventing accidents and failures, identifying poor driving behaviour among employees, and reducing expenses associated with fuel, tires, and other resources. This approach involves collecting real-time data from the vehicle engine sensors, transferring data to the cloud via a smartphone, and then using cloud services to analyse and manage the information, making it understandable in a simple way. This review reflects on the working efficiency of internal combustion engines and the reduction of pollution to the environment, also gathers existing literature to gain insights into vehicle sensor data acquisition technology and systems in the automotive industry identifying gaps in current knowledge and provide a conceptual framework for next practical research in this field. After explaining the general idea of logistics tasks in technology development, various sensors and their methods are associated with engine properties are introduced. The research results show that most articles are about data acquisition systems from different systems. They can provide convenience and flexibility for users, allowing them to easily access and adjust settings on-the-go, enabling real-time monitoring and adjustment of engine performance, helping users optimize efficiency and performance based on their specific needs and preferences.

Engineering structures such as bridges, overpasses, and viaducts constitute a crucial component of the infrastructure of any industrial city. The wide-scale industrialisation of the twentieth century transformed the urban landscape. Many designs and solutions have become morally and physically outdated since those times, yet their usage continues, which is not always safe. With the aging of infrastructure, the issue of their further safe use inevitably arises. Geodetic monitoring of structural deformations can provide control and safety, as well as gather data for designers and engineers. The data collected by deformation monitoring systems should form the basis for the reconstruction and maintenance project of infrastructural facilities. Deformation monitoring systems are designed for each object based on the parameters of the structure, taking into account the constructive features, materials, and the importance of the infrastructural object to the city traffic. It is not always possible to completely close an overpass during reconstruction, as this would affect the transport flow in a specific district of the city. Monitoring of recently put into operation structures will ensure the collection of deformation data for the survival analysis. Once the structural health is defined, the period of service life until scheduled maintenance will be determined. As a result of our research on the Brasa overpass in Riga, we developed a scheme for swift response to signals from the monitoring systemʼs sensors. Additionally, we ensured the safe operation of the old overpass during the construction of the new one by promptly utilising data obtained from the deformation monitoring system.

Students experienced various challenges during the COVID-19 pandemic, e.g., distance learning, which caused limited faceto-face socialization opportunities with peers, leading to loneliness and anxiety. Loneliness and anxiety are known to be associated with psychological difficulties such as depression or lack of motivation, feelings of anxiety and difficulty concentrating on work, etc. COVID-19 also had an impact on the physical health of young people, such as back pain when sitting at the computer, eye pain and other difficulties. Although COVID-19 is no longer an issue, young people studying remotely during the pandemic are now our learners. Therefore, the aim of this study is to identify the emotional state of school youth at the moment and the impact of COVID-19 on their mental health, as researches show that three-quarters of all mental disorders appear before the age of 24. At this age, there are rapid changes in the body as well as the formation of personal identity. Based on these considerations, the Nordplus project ‘Methods for working with young people to ensure learning process resilienceʼ was initiated, in which surveys of students and teachers were organized, and six different educational institutions from three Baltic states participated in the study. Results show that students feel tired, anxious, and angry and have too heavy workload. Teachers think that physical activity, sports and help with studies could reduce the mental health problems of students, but for students, it is most important to spend more time with friends.

The use of artificial intelligence (AI) tools in university education is a phenomenon of various directions: the potential of AI tools, skills, purpose and sense of usage. Each direction is worth of working out and introducing regulatory systems and deeper investigating users’ choice and managing the process of getting, navigating and creating information by means of AI. Therefore, one of the emerging scientific challenges is students’ abilities and personalised learning experience in the use of AI. The study is focused on the usage of AI in specific courses, and namely the students of Information Technology (IT) programmes from Latvia University of Life Sciences and Technologies (LBTU) and Riga Technical University (RTU). The aim of the study is to investigate the students’ ability, need and merit to use AI in learning numerical methods, mathematics and programming. The main data collection method used is a student survey. According to the main results, it is found out that respondents when solving the programming tasks sometimes used AI, while solving mathematical tasks respondents rarely used AI. AI actually did not help to solve the mathematical tasks, while it partly helped to solve the programming tasks. The use of AI partly helped the respondents to improve the knowledge and skills of programming. Acquiring the study course Numerical Methods respondents mainly used ChatGPT, but performing practical works respondents mostly did not use AI.

This paper evaluates the impacts on the participants of the Yemen Social Fund for Development’s youth employment and training program called Rural and Urban Advocates Working for Development (RUAWFD). The evaluation used both traditional surveys and an innovative experimental game methodology to show that the employment program, in addition to aiding youth individually, has important benefits for the country as a whole by contributing to stronger social capital. The survey analysis finds for the program participants significant increases between the baseline and follow-up surveys in self-reported trust in local government institutions and officials, political parties, and tribes. In reflecting on the level of cooperativeness in their own communities, participants reported increased awareness of the presence of marginalized groups and increased perception of cooperativeness in surrounding communities. There was also a significant increase in self-reported trust in people generally, especially for trust in other young people and in people from other areas of Yemen. The experimental game methodology uses a common pool game from the experimental economics literature incentivized by cash payments to measure trust levels between pairs of RUAWFD participants from different geographic regions. This approach confirms the findings from the survey analysis while avoiding possible self-reporting bias. The game results show that trust was lowest at baseline for partners in which one of the partners was from one of the Northern governorates and the other was from one of the Southern governorates. After the intervention, however, not only were average trust levels higher, but Northern-Southern pairs of RUAWFD participants had trust levels closer to those for pairs from the same regions. These findings are consistent with the literature on inter-group contact theory suggesting that community interventions can increase trust in individuals and institutions. This research contributes to a growing literature on trust and social capital as important development indicators, particularly in relation to conflict. The main results suggest that reinforcing social ties across regions in Yemen is an important benefit of the Social Fund for Development’s role as a national development agency and an achievable objective to consider in planning development interventions to contribute to future post-conflict reconstruction.