Cyberattacks have become a regular part of network activity. To mitigate the risks from possible threats, organisations have implemented firewalls and intrusion detection systems, which can help stop network attacks. The problem is that often the accuracy of these systems is not effective enough. Another part of network security is security information and management platforms. These systems are more advanced versions of Threat Intelligence Platforms, because it is possible to make in-depth analyses of real-time events in a network. This research paper proposes improving intrusion detection system functionality using Open-Source Intelligence. Anomaly-based intrusion detection systems often generate alerts, but these alerts require deeper analysis to understand whether it is a real attack or just a false alarm. By making Open-Source Intelligence requests and evaluating extra information, it is possible to make more precise rules to stop attacks against network infrastructure. Open-Source Intelligence requests are generated directly from the intrusion detection system or with Python scripts based on the organisation’s infrastructure profile. The proposed architecture was experimentally tested by automating Open-Source Intelligence requests and intrusion detection rule generation by Python scripts.

One of the most important problems of modern education is low achievement in STEM (Science, Technology, Engineering and Mathematics) subjects. Poor performance in mathematics is a serious problem in many countries. In order to improve the effectiveness of mathematics studies, it is more important to improve such key factors as students’ learning self–efficacy and learning initiative. This study is devoted to students’ learning initiative and the factors influencing it. It is the insufficiency of students’ regular learning initiative in the study process that is the basis of the fact that students are not sufficiently prepared for the final exam. Based on the research results of the scientific literature, a questionnaire was created that investigated the students’ learning initiative and factors that could improve it – attitude towards mathematics studies, motivation, as well as emotional factors that are often related to Causal attributions. The research was conducted at Latvia University of Life Sciences and Technologies, surveying students of various specialties and various courses. Fisher’s exact test of independence is used to determine whether there is a significant relationship between two categorical variables – the respective factors and performance on the math completion test. The results show that one of the main causes is a low self–assessment of mathematics competence, which in turn affects motivation and attitude towards mathematics studies and slows down learning initiative.

Today in Ukraine, a digital transformation of the educational system of higher education is taking place at a rapid pace, in which information and communication technologies are not becoming an additional ʻload’ in learning, but an integral part of a comprehensive educational process, which increases its efficiency. At the same time, there are a number of challenges, including such specific ones as unprovoked military aggression, which complicates the process of entry of higher education in Ukraine into the global educational digital environment. To assess the significance of the digitalization of the educational system of higher education in Ukraine in specific conditions, to analyse the attitude of the teaching staff and students to online education, to establish technical means of participation in the educational process, to determine the advantages and disadvantages of distance learning through the prism of the experience of teaching staff and students, we used three main methods: the survey method, the method of analysis and synthesis, the graphical method. As a result of the study, the authors revealed the general concept of digitalization and its educational dimension; identified the main challenges faced by higher education institutions in the digital environment; determined the impact and scale of military aggression by the Russian Federation on the activities of Ukrainian universities; established the features of training in the digital environment by institutions of the higher education of Ukraine.

Individuals’ emotional well-being is determined by several factors, including the ability to cope with daily stress and the ability to cope with various daily challenges. Ability of the management to provide favourable psychoemotional and psychosocial conditions within their team is particularly important. However, managers do not always have the knowledge and skills to lead their teams. For the development of the methodology, a study of the scientific literature on topical issue like healthy workplace was performed. The empirical part of the study is based on the results of the survey conducted Lithuania, Latvia, Estonia and Sweden within the Nordplus project ‘Dealing with anxiety during a pandemic to enhance adult well-being’ on the impact of COVID-19, as well as the training that would be necessary for the managers of companies or organizations to promote emotional wellbeing in the workplace. The comparative study was conducted from the perspective of both employees and managers. The results show that the impact of the COVID-19 pandemic on workplace and the well-being of employees was not strong for the respondents, depending mainly on the job position, the size of the organization and country. Managers and employees consider various psychological trainings essential.

Forests play a significant role in the mitigation of climate change through carbon storage and sequestration. However, a forest’s capacity to absorb carbon is influenced by a number of factors, such as soil characteristics, the selection of tree species, and the application of silvicultural practices. A study in Latvia was conducted to evaluate the carbon stock and sequestration potential of birch, common aspen, black alder and grey alder growing on periodically waterlogged and drained organic soils. Empirical data of forest resources were obtained from the National Forest Inventory (NFI) from 2016 to 2020. The findings indicate that black alder may thrive in both soil types, as it showed the best increase in carbon stock in periodically waterlogged soils, reaching a maximum of 129 t C haE−1 at the age of 61–70 years. Greater carbon sequestration in tree biomass occurs on drained soils compared to periodically waterlogged. Birch, aspen, and black alder stands may store between 106 and 119 t C haE−1 at age of 61 and 70 years, which is similar to grey alder stands at ages of 31–40 (114 ± 0.73 t C haE−1). Therefore, a short rotation for grey alder growing on drained organic soils could maximize carbon accumulation and add substitution value. These results suggest that different types of deciduous trees have varying capacities for carbon storage and sequestration, and that it’s important to consider site-specific factors, rotation age and silvicultural practices when aiming to maximize carbon sequestration in tree biomass.

Northern Europe will be one of the locations where the renewable energy from forests could displace fossil fuels as a result of climate change: therefore, it will become more crucial to maintain renewable materials that also collect CO2. By taking tree biomass out of forest stands, we could create more renewable resources to use in practice, but this has certain negative effects on the forest ecology, including nitrogen leaching and vegetation degradation. The goal of the study is to investigate the effects of full biomass removal (FBR) in Norway spruce (Picea abies (L.) H. Karst.) forest stands and how this forest management affects vegetation regeneration, tree stock and carbon storage overall. The aforementioned structures were assessed at various forest ages. The central region of Latvia contains Norway spruce stands with all of the sample sites under study situated on drained peaty mineral soils and weakly aerated gleyic soils. As a result of the long-term evaluation, it was determined that the forest vegetation in FBR was similar to that in the same-age control stand (SAC) and that vegetation can successfully regenerate. The average tree height and DBH is lower in areas where stump removal and understory biomass was not carried out. Statistically significant (p<0.05) long-term influence of stump removal on the average height and diameter of Norway spruce can be identified in all parameters, except, tree height in Myrtillosa mel. forest type. Total biomass removal in long term has almost no significant effect on tree stand and vegetation regeneration.

Nowadays, different sun protective creams are available in the market, but most of them contain harmful synthetic chemicals and minerals which can induce skin allergies and premature ageing. Usage of sunscreens and photoprotectors of natural origin and natural antioxidants can reduce skin damage caused by excessive sun exposure. The effectiveness of the use of β-carotene — vitamin’s A precursor against excessive irradiation caused by oxidative stress cell damages has been proven of its very good antioxidative properties and leading to sooner regeneration of the skin after several environmental damages. Carotenoids and high value oil can be extracted from pumpkin (Cucurbitta spp.) by-products — peel and seeds with SC CO2. The objective of this study was to incorporate pumpkin seed oil (PSO) and carotenoid extract (CE) from pumpkin by-products in to facial creams for UV protection. Two types of creams with PSO and CE were prepared emulsion o/w and w/o. A cream without extracts and natural ingredients was used as control sample. The sun protection factor values in vitro (SPF = 0.92 to 1.18), total content of carotenoids (TCC = 1.08–17.95 µg mLE−1), β-carotene content (0.64–0.72 µg mLE−1), total phenolic content (TPC = 62.64–95.82 mg GAE gE−1), antiradical scavenging activity (11.26–43.66 %) and rheological behaviour of facial creams were determined. Although creams with CE and PSO show comparatively low SPF values, ß-carotene and phenolic compounds found in samples demonstrated very high antioxidant abilities valuable for skin protection.

Information technology is increasingly permeating the lives of every modern individual, profoundly impacting them as consumers. With e-commerce and online shopping now firmly entrenched in daily routines, it becomes imperative to conduct research and establish a comprehensive e-shopper/e-buyer profile. The purpose of this article is to study modern Internet shoppers in Latvia and describe the profile of a typical e-buyer to identify possible problems and prospects for the development of e-commerce for Latvian companies during the relevant period. The article highlights some aspects that characterize Latvian e-buyers and their behaviour as consumers, analysing their buying habits by age structure in dynamics and comparing data for the period from 2010 to 2021. The frequency of online purchases by Latvian users is also examined. The key characteristics of several basic portraits of the typical e-shopper in Latvia are substantiated. The analysis employs monographic and statistical methods, and visual images are presented based on Eurostat data. The research authors conclude that the Latvian segment of online buyers is rather conservative, but it is becoming more and more active in exploring the possibilities of online shopping. The key characteristics of several basic profiles of an average e-shopper in Latvia are also justified.

The Baltic States have a three-tier pension system. Pillar II is the state funded pension scheme in which contributions are made automatically from an employee’s gross salary as part of social contributions. The contributions to Pillar II state funded pension schemes may be invested in several pension plans with different risk ratios of which three types are the most common: active, balanced and conservative ones. The accumulation of funds and consequently a partial amount of an old-age pension depends on the chosen pension plan and the manager of funds. The research aim is to assess the operation efficiency of the state funded pension schemes in the Baltic States. The research mainly employs and provides the analysis on the statistical data on the value and return of assets and number of Pillar II scheme participants. Theoretical discussion is built upon the use of scientific publications by means of monographic descriptive method, correlation and regression analyses as well as the methods of analysis and synthesis. In Latvia, 25.62% on average of all state funded pension plans participants have chosen conservative strategy, while only 8.36% on average have chosen this strategy in Lithuania. In Estonia (75.49%) and Lithuania (69.13%), the majority of assets are accumulated in the balanced strategy pension plans. The research results show that pension plans have positive return in long-term; though, sharp fluctuations and negative return might be demonstrated in short-term. Both in Lithuania and Latvia exists a negative correlation between Pillar II pension schemes and inflation, i.e. the return of a pension scheme decreases with the increase of inflation meaning that inflation alongside with other economic and political factors might be considered as a factor affecting the return of pension schemes.