Stakeholders and involved parties are crucial in a proper management of forest areas, more so in nature park areas. Urban nature areas and more remote peri-urban areas have objectively the most complex management issues due to the potentially high density of visitors and a diverse range of stakeholders. Such areas can also be valuable nature conservation and biodiversity hotspots, further making stakeholder interactions more complex. In this research, we conduct stakeholder identification for two case study areas – an urban forest nature park and a peri-urban forest nature park, with the aim of developing detailed lists of involved parties, including both public and private entities. We identified three main blocks of stakeholders (regulatory, usage, management), and detailed each group and sub-group for the case study areas. Our main results and conclusions include the identification of minor differences particularly explained by geographical and socio-economic contexts for each of the areas, with the regulatory stakeholder group overlapping the most between the two areas. The potential use of such analysis can improve or develop cooperation between previously unobserved stakeholders, and in research contexts, allow for a greater input from various parties that could have been missed in a more detailed analysis of a research area.

Robotic process automation (RPA) is relatively new software technology that is quickly being adopted by companies around the globe to free office workers from routine, monotonous and rule-based tasks letting them invest their time in higher complexity and value tasks. While big companies have money, time and workforce resources to implement RPA, small and medium enterprises (SME) fall behind in their effort to start using RPA despite the fact that for this segment of organizations RPA would be useful as it presents the opportunity to re-arrange their limited resources and delegate part of work to software. To address this situation, the aim of this paper is to conduct systematic review of literature regarding RPA appliances in enterprises in order to find out how to implement RPA successfully, what processes to give to RPA, and how SMEs can implement RPA better. During the review main guidelines on how to implement RPA in enterprise in general and which processes to delegate to RPA in particular were identified as well as challenges RPA implementation might bring to company. It was also noted that there is missing research on how to adopt RPA specifically in SMEs segment. The conclusion is that SMEs aimed RPA implementation guidelines are missing.

This study investigates the distribution and carbon content of organic soils in Latvia, leveraging machine learning techniques alongside remote sensing and National Forest Inventory (NFI) data to enhance the precision of organic soil mapping. Our approach integrates data from various sources, including airborne laser scanning (ALS) data, digital elevation models (DEM), depth-to-water (DTW) and wet area maps (WAM), and historical organic soil data. By classifying over 24,000 soil probing measurements across Latvia into distinct peat layer thickness categories, we develop a machine learning model that categorizes the thickness of the organic layer with notable accuracy. Our findings indicate that the model, particularly when employing the xgbTREE algorithm and over-sampling method, successfully identifies areas with peat layers thicker than 40 cm, demonstrating a significant improvement over traditional mapping methods. The study reveals an underestimation of organic soil coverage in Latvia by previous estimates, suggesting a broader distribution than recognized, with the model achieving an accuracy of 0.86 and a kappa value of 0.67. This research not only underscores the efficacy of integrating machine learning and remote sensing for soil mapping but also highlights the critical role of accurate data and models in determining organic soil distribution. The insights gained from this study are vital for policy-making and environmental planning, offering a more detailed understanding of Latviaʼs peatland resources and their conservation needs.

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.

In the world practice, scientific research is aimed at the development of oral knowledge, skills and abilities in teaching English. The technical higher educational institutions and the integration of skills in teaching process are being conducted. The English language proficiency is becoming increasingly important for academic success. English is one of the compulsory subjects in the school curriculum, and it is taught in all disciplines, including teacher training, vocational, science, engineering, and technology. The aim of the article is to substantiate how to teach students to develop oral speech using problem-based learning and to strengthen their knowledge in the fields of engineering, management, and business spheres, to increase the effectiveness of oral speech in English, and how to effectively use Problem-based learning skills (PBL) in the technological processes. Results show the important aspects of Problem-based learning method in today’s modern educational environment, the development of critical thinking, independent and creative skills of learners, the further development of the mental activity, the search for various solutions to problem situations, effective methods of problem-based education, general information about its importance and features are given.

Agrifood systems are facing significant challenges, science and innovation are key to shift the trajectory towards ensuring sustainability and resilience. Thus, scaling assumes a critical role in agricultural research for development (AR4D). Scaling consists of a continuous process in which innovations are tailored, used, and embedded into societal dynamics adapted to various contexts, aiming to create widespread positive impacts. This systematic literature review explores scaling within the context of AR4D, with a particular focus on the role of social capital. Using bibliometric and factor analysis methods, we identified the intellectual structure in the field of scaling, revealing the knowledge domains and disciplines that have determined their emergence and growth as a scientific discipline. Then, we analyzed the role of social capital in the scaling literature. Our results showed that the field of scaling is composed by four distinct literature clusters: the innovation and adoption of agricultural technology, the economics of technology adoption, sustainability in agricultural innovations, and the emergence of scaling as a research field. Disciplines such as sustainable agriculture, systemic thinking, technological transitions, and technology adoption have contributed to the development of the field. The results indicate that the explicit consideration of social capital in the scaling literature within AR4D is limited despite the importance of relationships, trust, and reciprocity values in the process of scaling. This study highlights the continuous growth and multidisciplinary nature of scaling as a research field in AR4D, reflecting its complexity. International agricultural research centers and universities from developed countries have significantly advanced this field, also underlying the importance of locally rooted, and participatory research. Future research on the creation, development, and strengthening of social capital in scaling processes can contribute foster intentional and responsible scaling of AR4D innovations.

Only less than one percent of the territory of Latvia is occupied by broadleaved (trees having relatively wide flat leaves) forests. The aim of the research is to assess forest vegetation in the island of Upursala of Cirišs Lake. The data is collected in four forest areas of the island. Totally 12 plots, each with an area of 200 m² (20 x 20 m) have been created. In each plot, the accounting of growing trees and deadwood is carried out. The vegetation is measured in each forest area – the projective vegetation cover and cover of each plant species by tree, shrub, herb and moss layer are determined. The research founds that the average stock of growing trees on the island of Upursala is 565.8 m³ ha⁻¹. The average amount of dead wood is 108 m³ ha⁻¹, it consists mainly of fallen deadwood. Totally 45 species are listed in the vegetation plots, of which seven are determinants of European broadleaved forests. The largest number of determinant species of European broadleaved forests has been observed in stands with mixed forests (aspen – small-leaved lime – pedunculate oak, aspen – Scots pine – pedunculate oak and Scots pine – Silver birch – aspen). It can be argued that these stands will become the European broadleaved forests in the future.

Canopy litterfall is a vital component of forest ecosystems, facilitating nutrient and organic carbon transfer to the soil. Understanding litterfall dynamics in forests is crucial for assessing carbon fluxes at the national level and refining carbon balance estimations. However, information about aboveground litterfall dynamics in old-growth forests remains scarce. The aim of the study was to characterize the annual litterfall carbon input in coniferous old-growth forests on drained and undrained organic soils. In total, 12 old-growth Scots pine (Pinus sylvestris L.) and Norway spruce (Picea abies (L.) H. Karst) forests stands with the age range of 146–171 years were selected. Using cone-type litter traps, we obtained data on litterfall volumes over a one-year period. Our findings reveal that old-growth forest annual carbon input from litterfall exceeds estimates of mature forest stands aboveground litterfall. In drained sites, mean annual litter carbon input reached 2.80 ± 0.29 t ha⁻¹ yr⁻¹, while in undrained sites, it amounted to 2.17 ± 0.17 t ha⁻¹ yr. Basal area and deadwood showed a close positive correlation with annual litter carbon input, underscoring the peculiarities of late successional forest stand carbon dynamics. Total stand basal area as easily measurable forest inventory parameter was the best predictor of annual litter C input for practical application.

Japanese quince (Chaenomeles japonica) is a minor but prospective fruit crop due to the value of fruits and suitability for processing. Research aimed to clarify the incidence of quince leaf and fruit diseases depending on the year and plantation and determine the critical periods of diseases. The study was conducted from 2017 to 2019 in eight commercial Japanese quince plantations across different regions of Latvia. The incidence (%) of leaf and fruit spots and fruit rot was assessed several times during vegetation period. Considerable rot development was observed in only the first year of the study. The incidence of fruit rot in the middle of 2017 ranged from 0.7 to 11.7% depending on the plantation, while in 2018–2019 did not exceed 2% in any of the plantations. The critical period of fruit rot development was determined in the middle of fruit development and time closer to ripeness. Development of fruit spots increased closer to ripeness. In 2017, the incidence of fruit spots fluctuated from 0.7 to 44.0%, in 2018 – 7.7 to 46.0%, and in 2019 – 0.7 to 24.0%, depending on the plantation. The incidence of leaf spots reached high levels at the end of the vegetation periods (21–100% depending on year and plantation). The most critical periods of leaf spot development were the end of fruit development and full ripening of fruits. Determination of the critical periods of quince disease development could be used to create an effective and environmentally friendly disease control system.

Sambucus nigra has garnered attention in the food industry for its natural colouring and antioxidant properties, mainly due to its high content of anthocyanins, other polyphenols, and vitamins. These bioactive compounds not only contribute to the nutritional impact of food products, but also make it possible to replace synthetic additives that meet the current consumer demand for natural and functional foods. This study provides an overview of the bioactive compounds in Sambucus nigra (black elder) fruits, highlighting their potential health benefits and toxicity concerns. It examines the effect of different processing technologies on the phenolic and cyanogenic glycoside composition of elderberry, emphasizing the need to balance microbial decontamination with the sensory quality and nutritional value of food products. The study also reviews the mechanism of ultrasonic inactivation of microorganisms and the potential of fermentation to reduce toxic compounds in Sambucus nigra fruits, thus contributing to the improvement of food safety and nutritional quality, emphasizing the importance of considering the potential limitations of ultrasound and the use of combined methods to increase efficiency while minimizing the negative impact on both the product and the consumer. Additionally, the study discusses the significance of selecting appropriate processing methods to ensure the safety of elderberry products, given the presence of potentially harmful cyanogenic glycosides and lectins, which can be mitigated through heat treatment and fermentation.