Introduction. The growing influence of social media on adolescent culture requires systematic study of its impact on the mental health and self-esteem of young people. Existing studies show conflicting results regarding the nature of this influence. Objective. To investigate the relationship between social media, use, mental health, and self-esteem in adolescents, and to develop recommendations for reducing psychological stress. Materials and methods. A comprehensive study was conducted using mixed methods, including a systematic literature review, meta-analysis, quantitative survey, and semi-structured interviews. Standardized methods were used: The Social Media Usage Intensity Scale (SMUIS), the Rosenberg Self-Esteem Scale, the Patient Health Questionnaire (PHQ-9), and the Generalized Anxiety Disorder Scale (GAD-7). Mathematical data processing was performed using Pearson's correlation coefficient, multiple regression analysis, and Student's t-test. Results. A significant negative correlation was found between the intensity of social media use and self-esteem, as well as a positive correlation with anxiety and depression levels. A curvilinear relationship was found between social media use and psychological well-being, with moderate use associated with the most positive outcomes. Significant gender differences were identified: girls demonstrate greater vulnerability to the negative effects of social networks. Discussion. The impact of social media on the psychological well-being of adolescents is complex and is modeled by a number of factors, including intensity of use, gender, and individual personality traits. Moderate and conscious use of social media is associated with more positive psychological outcomes. Recommendations have been developed for parents, educators, and mental health professionals aimed at fostering healthy patterns of social media use among adolescents.

The development of science, technology, and technological leadership are the most important areas on Russia's strategic agenda. This presupposes the inevitable transformation of information communication processes in all sectors of the economy and the emergence of a modern information society, a society in which information, its accessibility and use significantly affect the financial, economic, socio-cultural, technical, technological and other living conditions of citizens. Adopted in 2017. The strategy for the development of the Russian information society has already contributed to an increase in the level of use of information and communication technologies by state and municipal authorities, business structures and the population. The study revealed that the Far Eastern regions are significantly lagging behind the average Russian parameters in terms of accessibility and intensity of use of the digital environment, which requires the implementation of measures for the rapid development of information and communication technologies in this macro-region. The author reviewed the organizational and legal foundations and principles of the strategic development of the information society in Russia, analyzed the socio-economic problems of the development of the digital economy in the regions of the Far Eastern Federal District, and outlined the prospects for further development of the information society in the regions of Russia. The article is analytical in nature, and may be of interest to both theoretical researchers and practical managers dealing with the development of the information society and the problems of regionalism.

In contemporary digital society the psychological well-being and social integration of older adults are increasingly connected to their attitudes toward digital technologies and their skills in using them. This study aims to analyze the psychological impact of digital technologies on individuals aged 65 and above, focusing on psychological adaptation, social health, and cognitive functions. The study was conducted in 2024-2025, involving 150 participants aged 65-85 years. Results indicate that active use of digital technologies can have both positive and negative psychological consequences, depending on the intensity of use, motivations, and level of social support. Key findings show that moderate use contributes to maintaining cognitive activity and strengthening social connections, while excessive or uncontrolled use can lead to stress, anxiety, and social isolation.

Purpose This paper aims to explore factors influencing adoption and intensity of adoption of digital technologies that promote more efficient use of resources by beef cattle farmers in Brazil. Design/methodology/approach The empirical analysis was based on primary data obtained from a sample of 185 beef cattle feedlots across all Brazilian regions. Three groups of feedlots were identified using multiple correspondence analysis: (1) non-adopters of digital technologies, (2) adopters of management software and (3) adopters of management software and automation technologies. A multinomial logit model was then applied to test hypotheses on factors influencing adoption and intensity of adoption of digital technologies. Findings The econometric results show that the high scale of production, specialization in livestock, higher farmer education, young age and access to consultants increased the probability of adoption and the intensity in use of digital technologies by beef cattle farmers. These results indicate that barriers of scale, access to information and qualification might be hindering the digital transition in Brazilian beef cattle production. Research limitations/implications The results are relevant for strategies and policies that aim to overcome barriers and accelerate the diffusion of digital technologies in Brazilian livestock. These technologies have been associated with more efficient use of resources, which is crucial to increase the sustainability in Brazilian beef cattle production. Originality/value The article investigates the twin transition in Brazilian beef cattle production using previously unpublished farm-level data and a mixed econometric approach that accounts for digital technologies at varying stages of diffusion, thereby offering a novel contribution to the literature on technological and sustainable agricultural transformation.

The development of social media in Generation Z students presents the phenomenon of doomscrolling, which is the tendency to excessively search for negative content or news that impacts mental health. This study aims to map the factors that affect doomscrolling behavior in Generation Z students who use social media through scoping reviews. Article searches were conducted on PubMed, Scopus, and Google Scholar using the PCC (Population, Concept, Context) framework, covering the period 2015–2025, with inclusion criteria for empirical articles in Indonesian or English that are available in full text. A total of 12 articles met the criteria and were analyzed descriptively. The results of the review showed that doomscrolling was influenced by psychological factors (stress, anxiety, depression, psychological distress, insomnia), cognitive-behavioral factors (Fear of Missing Out, social media addiction, intensity of use, digital multitasking), personal factors (self-control, self-efficacy, emotion regulation, neurotic personality), and socio-technological factors (low social support and social media algorithms that reinforce exposure to negative content). Doomscrolling has consistently been associated with decreased mental well-being and increased emotional fatigue. These findings confirm the importance of digital literacy interventions, emotion regulation training, and strengthening self-control for Generation Z students.

The study examines the use of multidimensional scenario modeling (MSM) for the development and production of fundamentally new products, taking into account the variability of consumer requirements and market conditions. The focus is on the integration of end-to-end digital technologies, an approach to creating a dual digital product, and product lifecycle management based on IT systems. The purpose of the research is to develop a new methodology for the formation of the technical and economic appearance of a product based on end-to-end digital technologies and digital twins, which makes it possible to model life cycle scenarios and choose optimal solutions with minimal costs. The study uses methods of literature analysis, benchmarking and comparative evaluation of statistical data to study the competitiveness of radically new products using the concepts of digital twin and digital shadow. Special attention is paid to the analysis of the regulatory framework and classes of digital twin models, which makes it possible to assess the technological feasibility, market potential and cost-effectiveness of innovative solutions. An integrated approach provides a systematization of the factors influencing the positioning of new products in the context of digital transformation. The features, including economic ones, of digital product models, as well as the regulatory framework of the subject area are considered. The classification of types of models and types of digital analogues of the product is given. The problem of the research lies in the fact that the traditional parametric approach to determining the technical and economic characteristics of new products, based on the linear improvement of analogues, is outdated in the context of digitalization and does not provide the creation of radically innovative solutions. The authors analyze the advantages of how the use of MSM contributes to the optimal choice of materials, technologies and components, as well as how it helps to achieve a balance between cost, quality and functionality of products. Special attention is paid to the possibilities of preliminary testing and adaptation of the product being developed in accordance with the changing requirements and preferences of consumers in order to increase competitive advantages. The results of the research are the concept of designing radically new products initiated either by the customer or by the manufacturer seeking to strengthen competitive positions; the concept of the technical and economic appearance of the product, formed on the basis of market analysis and including functional, component and economic models; the approach of using digital twins, allowing to optimize the product lifecycle through multivariate modeling, reducing costs and speeding up development; the key factors of the competitiveness of such a product have also been identified, which are determined by the integration of the image and the digital twin, taking into account global trends and customer requirements. The economic effects of using digital product models at different stages of the life cycle are described. A product competitiveness model is proposed that takes into account the level of digital maturity and the intensity of use of digital representations. A functional efficiency model is proposed that takes into account the effect of digital product modeling and its impact on economic efficiency. The study offers an economic and mathematical toolkit for calculating the competitiveness of radically new products through the integration of DTP and multivariate analysis, which expands the theory of innovation management in the digital economy.

Disentangling transport and trophic effects of animal movement on environmental parasite abundance.

This study presents a systematic review of empirical research conducted between 2014 and 2025 on the use of learners’ first language (L1) in Korean as a Foreign Language (KFL) education. A total of six peer-reviewed studies were analyzed following PRISMA guidelines to identify the pedagogical roles, contextual patterns, and instructional implications of L1 use. Findings revealed that learners’ L1 functions across five domains—cognitive, affective, social, metalinguistic, and phonological—and that the scope and intensity of use varied according to learning context and proficiency level. While beginner learners relied on L1 for comprehension and affective reassurance, intermediate learners used it selectively for metalinguistic reflection. Distinctive from English as a Foreign Language (EFL) contexts, KFL studies emphasized phonological support through L1 phonetic transcription and assessment fairness through bilingual test design, reflecting the structural and orthographic characteristics of Korean. The review further indicates a methodological shift from descriptive qualitative approaches to experimental and data-driven frameworks, signaling a growing recognition of L1 as a legitimate pedagogical tool rather than an obstacle to immersion. The study concludes that a strategic and balanced bilingual pedagogy—sensitive to context, proficiency, and instructional goals—offers the most effective integration of L1 in KFL classrooms. Future research should expand to underrepresented populations, including children, heritage learners, and online or AI-supported learning environments, to deepen theoretical and empirical understanding of bilingual mediation in Korean language education.

Abstract Population ageing, increased immigration and strained public resources will challenge the future provision of formal older-age care. Despite growing diversity in older populations across Western countries, evidence on health-care utilization among older immigrants remains limited. Using full-population registry data from Norway (2011–2016) for individuals aged 60+, we examined transitions into home health care (HHC) and intensity of use (hours/day) by immigrant background. Across all country-of-origin groups, immigrants had lower odds of transitioning into HHC than natives, with differences narrowing as duration of residence increased. A broad socio-demographic patterning to HHC transitions generally held across the country background groupings. Higher transition likelihoods were observed for individuals with lower education, lower income, living alone, and residing in less urban areas. Childlessness was linked to higher relative transition propensities among natives and Nordic immigrants, but lower relative propensities among Western-origin and Eastern European immigrants. Among non-Western immigrants, childlessness appeared to have little influence on transition propensities. For HHC intensity, only non-Western immigrants received significantly fewer hours of care than natives. Subsequent analysis indicated that this difference was entirely contingent on living alone: Only non-Western immigrants living alone had significantly fewer hours of care than natives (living alone or otherwise). These findings highlight clear variation in HHC utilization by immigrant background and socio-demographic characteristics. Future research should investigate whether lower HHC use among older immigrants reflects reduced need or barriers to access. It will also be important to assess how compositional changes in the immigrant population may influence future patterns of HHC utilization.

Purpose This paper aims to assess the determinants of artificial intelligence (AI) adoption in Brazilian enterprises, evidence that is crucial for understanding and accelerating its diffusion to boost innovation and productivity. Design/methodology/approach The authors use microdata from Brazilian firms. The empirical strategy consists of standard, ordered and multivariate probit models to identify the patterns of adoption, intracompany diffusion and intensity of use. Findings Results suggest that company size positively influences AI adoption and use due to greater resources and risk tolerance. Environmental variables also play a significant role, with digitized environments increasing adoption likelihood due to network effects, while competition intensity seems to have a nonlinear effect, initially stimulating adoption but decreasing it at higher competitive intensity. Existing digitization infrastructure of adopting firms promotes AI adoption and use. Practical implications Public policies should stimulate workers’ skills, as well as encourage the digitization even of less sophisticated but complementary technologies for AI. This is reinforced by the existence of network effects. In addition, competition authorities have a very important role in promoting healthy competition because it represents an indirect stimulus for AI adoption. Originality/value This contribution is one of the few empirical analyses of the drivers of AI at the firm level based on an extensive microdata sample, and to the best of the authors’ knowledge, the first that contemplates intrafirm diffusion, usage intensity and the role of network effects.

This study aims to determine the effect of ease of use and transaction security on interest in using BRImo, as well as the role of user trust as a mediating variable for BRI customers in Sukabumi. A quantitative approach was used in this study with a survey method of 399 active BRImo user respondents. Data analysis was conducted using Partial Least Square with the help of SmartPLS 4.0 software. The results showed that both ease of use and transaction security had a positive and significant effect on interest in using BRImo. In addition, user trust is proven to be able to mediate the relationship between ease of use and transaction security on interest in using. The highest mean on the interest in using variable is found in the indicator of recommendation to use BRImo, while the lowest mean is found in attraction due to ease of transactions. Overall, respondents' perceptions of all variables are high, but there is still room for improvement, especially in the aspects of overall experience, transaction security, and technical service capabilities. These findings indicate the importance of comprehensively improving the quality of user experience to encourage loyalty and intensity of use of BRImo in the future.

Nitrous oxide (N2O) use for intoxication among young people has increased in many parts of the Western world, including Denmark. The literature, however, primarily focusses on harms related to N2O use, and not on other aspects, for example modes of administration or effects such as different forms of pleasure or fun. Therefore, despite this increase, we still know very little about how and why young people use nitrous oxide for intoxication, including their experiences of N2O intoxication. Based on 45 qualitative interviews with young Danes age 18-25 years, who all were former or present N2O users, we explore their experiences of N2O intoxication. We do this by analyzing in-depth descriptions of where, how and with whom they use N2O. When analyzing these descriptions in relation to different modes of administration, intensity of use, combination with other substances (e.g. alcohol, cannabis), and use in different settings, we argue that N2O intoxication is experienced differently by the young participants. Some of the participants also searched for particular intoxication experiences with N2O. We unfold the participants' various descriptions of intoxication by differentiating between moderate and intensive use. Overall, our study shows that these differences in N2O use for intoxication are not equally risky or harmful. In general, young people's own perspectives and experiences with (illegal) drug use is increasingly emphasized as important to include when developing preventive interventions. Our analysis of the young participants' differing experiences with N2O for intoxication can inform future prevention initiatives in relation to harms of N2O intoxication.

Introduction: Middle adolescents are closer to their peers as part of their search for identity, so they are easily influenced by social trends, including the use of social media. High intensity of use can trigger fear of missing out (FoMO). FoMO encourages negative social comparisons that lead to decreased self-esteem, especially when adolescents feel that their lives are less ideal than others. This has an impact on the mental health, self-confidence, and social relations of adolescents. This study aims to determine the relationship between FoMO and self-esteem in middle adolescents at Senior High School 2 of Jember. Method: This research uses a correlational quantitative design with a cross-sectional approach. The sampling technique used was total sampling, totaling 1083 students. The instruments used were the FoMOs questionnaire and the Rosenberg Self-Esteem Scale (RSES). Data were analyzed univariately and bivariately with the Kendall Tau-c correlation test. Results: Bivariate analysis shows the value of ρ = 0.000 < 0.05, indicating a significant relationship between fear of missing out (FoMO) and self-esteem in middle adolescents at Senior High School 2 of Jember with a negative correlation direction. Conclusions: FoMO triggers a decrease in self-esteem in middle adolescents through upward social comparison of ideal content on social media. The important role of families, schools, and health workers, especially nurses, in helping teenagers manage stress due to FoMO, strengthen self-regulation, and increase self-esteem through digital education and emotional support.

Patterns of substance use on a given day in a national sample of U.S. young adults.

It is anticipated that energy intensities will continue to decline, leading to a more effective distribution of energy resources that can produce wealth and a good standard of living for countries. This paper’s goal is to evaluate this trend and use a linear regression model to examine the energy intensity and how it affects growth in two of the GCC countries: Saudi Arabia and the United Arab Emirates. Initially, we examined the connection between economic growth and energy consumption, and the two countries had better results, pointing to the rise in economic activities. We then examined the connection between GDPs per capita and energy intensity of use. For the two countries, the effect of GDP per capita on intensity of use was found to be negative, indicating a reduced cost or price of transforming energy into output. Put differently, a dollar’s worth of production requires less amount of energy to be used, which will result in a more efficient use of energy. The analysis concludes that higher cost savings through more effective energy regulations will lead to more economic growth and better standard of living.

This study aims to assess the contribution of RK and EAF technologies using a technometric approach, focusing on four technological components: Technoware, Humanware, Inforware, and Orgaware (THIO). Furthermore, the study analyzes the economic feasibility of both systems using financial indicators and sensitivity risk analysis. The methodology includes calculating the Technology Contribution Coefficient (TCC) for each technology based on the degree of sophistication, state of the art, and intensity of use. Additionally, the economic analysis employs indicators such as Net Present Value (NPV), Internal Rate of Return (IRR), Benefit-Cost Ratio (B/C Ratio), and Payback Period, along with sensitivity analysis on cost and interest rate variables. The results show that both technologies fall into the semi-modern category, with TCC values of 0.7588 for RK and 0.7563 for EAF. However, Humanware in RK and Inforware in EAF are identified as the weakest contributing components, highlighting priority areas for improvement. From an economic perspective, EAF outperforms RK across all financial indicators under both optimistic and pessimistic scenarios. These findings lead to a recommendation for a gradual transformation from RK to EAF, emphasizing workforce development, information system digitization, and technological management enhancement. The primary output of this research is the development of a technology contribution assessment model based on technometric analysis, integrated with economic feasibility evaluation, providing a strategic foundation for more precise technology and investment decision-making in the mineral processing industry.

The effect of ciprofloxacin on the membrane reserve and resistance of ducklings' erythrocytes to hypotonic environment in experimental staphylococcosis was studied. The high permeability of the erythrocyte membrane to ciprofloxacin can lead to a change in the resistance of red blood cells to conditions of reduced osmolarity. The study involved three groups consisting of Bashkir ducklings aged 21 days. Group III birds were treated with ciprofloxacin at a dosage of 200 mg/l for five days. A day after the start of antibiotic treatment, intraperitoneal infection of groups II and III with Staphylococcus aureus culture at a concentration of 5McF was performed. Intracardiac puncture blood sampling was performed on the 1st, 3rd, 6th, 9th, and 13th days after infection. To assess the resistance of red blood cells to hypoosmotic pressure, blood was incubated in an isotonic solution (0.93% NaCl), in a hypotonic solution (0.33% NaCl), in a ratio of 1:1 during 30 seconds. Linear parameters of erythrocytes were determined in blood smears, surface area and volume, and indicators of membrane reserve were calculated. The relative membrane reserve of erythrocytes in birds of the control group in conditions of hypoosmolarity was the highest compared with the experimental groups. This is due to the initial increase in the size of bird cells of groups II and III under the influence of alpha-toxin St. aureus. The erythrocytes of intact ducklings demonstrate the maximum intensity of use of the relative membrane reserve in a hypotonic environment – iuMR% is in the range between 19.4% and 33%. In the second and third groups, the average value of iuMR% of the membrane is 17%. The involvement of surface plasmalemma reserves in the regulation of red blood cell size, as well as changes associated with ion and water transport, prevent hemolysis. The use of an intracellular membrane pools makes it possible to regulate the volume of nuclei under the aggressive action of alphahemolysin and ciprofloxacin.

The intensive construction industry drives a demand for use of waste stone as a sustainable construction material. This is result of the goals to decrease the intensity of use of the available natural resources and to increase in utilization of stone waste from quarries. This paper delves with the utilization of waste from the marble mine in the Gjurovo locality near Prilep for construction purposes. Geotechnical testing was carried out on the quarry waste and the possibilities for its use as a construction material were examined. Then, a residential building at a distance of 40 km from the quarry is considered as a case study. Two alternatives were compared for the building: the first one by using conventional construction materials and the second one by utilising stone waste from the quarry. The costs of items where it is possible to use waste stone were compared. The study shows that the costs for earthworks can be reduced by 58%; concrete works by 5%; floors by 25% and facades by 24%. It is calculated that the construction costs for 1 m2 of the building can be reduced by 6%, compared to the alternative with the conventional materials. The study promises that there are many opportunities for the use of quarry waste as a building material. The use of quarry waste reduces construction costs, which benefits the circular economy and all aspects of sustainable development. The paper also discusses some of the limitations of using quarry waste that should be considered in any project.

Mechanization has been recognized as a key thematic area by the Ethiopian Agricultural Research Institute for the period 2018–2030; however, research on its adoption determinants remains limited. This study examines the factors influencing the adoption and intensity of mechanization, focusing on tractor ploughing and combine harvester use among 413 farmers in Ethiopia’s Arsi Zone, using a random sampling technique. Descriptive statistics indicate that 59% of farmers use combine harvesters, while 51% utilize tractors, with adoption primarily driven by labour shortages, reduction of post-harvest losses, and productivity improvements. A Multivariate Probit model was employed to analyze adoption decisions, while a Multivariate Tobit model assessed the intensity of use. The econometric results reveal that education, access to credit, and cooperative membership are positively associated with mechanization adoption, whereas the crop diversification index and land fragmentation have significant negative effects. Similarly, the intensity of machinery use is positively linked to education level, farm size, cooperative membership, and access to extension services, while land fragmentation negatively affects adoption intensity. Therefore, the study recommends enhancing farmers’ education and training, expanding access to credit, strengthening cooperatives, promoting land consolidation, and introducing land-augmenting technologies to improve mechanization adoption and intensity in Ethiopia.

This study aims to evaluate the effect of information system quality on the level of user satisfaction of the Regional Financial Management Information System (SIPKD), with reference to the DeLone and McLean Model framework. The subject of this research is the State Civil Apparatus (ASN) who works within the East Jakarta Administrative City Government. The DeLone and McLean model is used as a basis for assessing how the quality of information, systems, and services affects usage intensity, user satisfaction, and individual performance. The approach used was quantitative, with data collection through distributing questionnaires to 100 respondents. Data analysis was conducted using the Structural Equation Modeling (SEM) method with the help of Partial Least Squares (SmartPLS) software. The results of the analysis show that information quality significantly affects user satisfaction, but does not show a significant effect on usage intensity. Meanwhile, system quality and service quality are proven to have a significant effect on usage intensity, but not on user satisfaction. Intensity of use has a positive and significant impact both on user satisfaction and on improving individual performance. In addition, user satisfaction is also proven to have a significant effect on individual performance.