Vilnius University Press Scholarly Journals
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„Koalicja 15 października” vs. „Koalicja 13 grudnia”. Kolonizacja czasu z perspektywy lingwistycznej
No full textThe subject of the study is the problem of one of the manifestations of human control over time, colonisation. It has two dimensions: the first is colonisation using time, a manifestation of which is creating a common space for establishing temporal interactions (e.g., globalisation of clock time), the second is colonisation of time understood as social interference in time (individual and communitarian). Time colonisation is, among other things, a tool for the struggle for power by imposing a specific valuation on temporal units important for a particular community. The issue of linguistic actions aimed at colonising the past, present, and future by contemporary Polish politicians is the subject of the analysis undertaken. An example subject to observation is the use of two names of the governing coalition after the elections to the Sejm and Senate of the Republic of Poland held on October 15, 2023 (i.e. Coalition of October 15 and Coalition of December 13).Artykuł podejmuje problem jednego z ważniejszych przejawów sprawowania przez człowieka kontroli nad czasem, czyli kolonizacji rozpatrywanej w wymiarze temporalnym. Ma ona dwa wymiary: pierwszym jest kolonizacja za pomocą czasu, której przejawem jest stwarzanie wspólnej przestrzeni do zawiązywania interakcji temporalnych (np. globalizacja czasu zegarowego), drugim – kolonizacja czasu rozumiana jako społeczna ingerencja w czas (jednostkowy i wspólnotowy). Kolonizacja czasu jest min narzędziem walki o władzę poprzez narzucenie ważnym dla określonej wspólnoty jednostkom temporalnym określonego wartościowania. Podjęta analiza dotyczy kwestii działań językowych zmierzających do kolonizacji przeszłości, teraźniejszości i przyszłości przez współczesnych polskich polityków. Przykładem poddanym obserwacji jest używanie dwu nazw koalicji rządzącej po wyborach do Sejmu i Senatu RP przeprowadzonych 15.10.2023 roku (tj. Koalicja 15 października i Koalicja 13 grudnia)
Gastronominės leksikos vertimas Mario Putninio romane „Laukiniai pyragai“
No full textAs a case study, the article examines the Lithuanian translation of the Latvian children’s novel Mežonīgie pīrāgi: Dienvidjūras pasaka (“Wild Pirogis: A South Sea Tale”) by Māris Putniņš, a text rich in gastronomic metaphors and anthropomorphic food characters. Translating these culturally embedded elements requires balancing linguistic fidelity with creative adaptation to preserve the text’s humour, cultural context, and accessibility for young readers. The analysis highlights the challenges of rendering culturally specific elements—such as food names, character identities, and intertextual references—within a closely related yet distinct language pair. Translating food involves not only linguistic adaptation but also cultural interpretation, navigating between foreignization and domestication strategies. Drawing on gastropoetics and imagology, the study demonstrates how the translation of food shapes national and cultural representations (van Doorslaer 2019). The findings emphasize that food functions not only as a narrative device but also as a means of intercultural exchange, showing how literary translation negotiates between linguistic accuracy and cultural resonance.Straipsnyje atliekama latvių vaikiško romano Mežonīgie pīrāgi: Dienvidjūras pasaka („Laukiniai pyragai: Pietų jūros pasaka“) vertimo į lietuvių kalbą atvejo analizė. Kūrinys išsiskiria gastronominių metaforų ir antropomorfizuotų maisto personažų gausa, todėl verčiant šiuos kultūriškai prisodrintus vienetus prireikė balansuoti tarp lingvistinio tikslumo ir kūrybiškos adaptacijos, kad būtų išsaugotas teksto humoras, kultūrinis kontekstas ir prieinamumas jaunesnio amžiaus skaitytojui. Analizė atskleidžia iššūkius, kilusius perteikiant kultūriškai specifinius elementus – maisto pavadinimus, personažų identiteto prieskyras ir intertekstines nuorodas – kalbų poroje, kuri, nepaisant genetinio artumo, savo kultūriniais ir semantiniais registrais skiriasi. Maisto vertimas reikalauja ne tik kalbinės adaptacijos, bet ir kultūrinės interpretacijos, todėl vertėjas priverstas nuolat balansuoti tarp „svetiminimo“ (foreignization) ir „savinimo“ (domestication) strategijų. Remiantis gastropoetikos ir imagologijos įžvalgomis, straipsnyje atskleidžiama, kaip maisto vertimas formuoja nacionalines ir kultūrines reprezentacijas (van Doorslaer 2019). Išvadose pabrėžiama, kad maistas veikia ne tik kaip naratyvinis įrankis, bet ir kaip tarpkultūrinės komunikacijos priemonė, todėl verčiant grožinę literatūrą tenka derinti kalbinį tikslumą ir kultūrinį rezonansą
Calendar Anomalies in African Stock Markets: Does the Effect of Covid-19 Pandemic Matter?
No full textThe Covid-19 pandemic profoundly disrupted global economies and financial systems, altering investor behavior and challenging traditional market dynamics. Among these disruptions, calendar anomalies, which challenge the efficient market hypothesis, offer a unique lens to assess market efficiency during crises. The objective of this study is to examine the impact of Covid-19 on calendar anomalies in the main African stock markets, an area largely overlooked in existing research despite the region’s increasing importance in global financial systems. Using daily closing prices from January 1, 2009 to December 31, 2021, and employing a GJR-GARCH (1,1) model, the findings indicate that calendar anomalies exhibit temporal variation within the sample markets, influenced by trends that shift markets between periods of efficiency and inefficiency. Additionally, the study highlights the emergence of new calendar anomalies coinciding with the onset of the Covid-19 pandemic. These results offer lasting insights for investors, suggesting the need for dynamic trading strategies that can adapt to calendar anomalies during global crises. For policymakers, the research underscores the importance of reducing information asymmetry to enhance market resilience in times of crisis. The study also emphasizes the need for further research to explore how systemic shocks, such as Covid-19, can disrupt traditional market patterns and affect stock market behavior
Consumers’ Nostalgic Re-Engagement with Media in Emerging Markets: Emotional Needs, Content Overload, and Exposure
No full textGrounded in uses-and-gratifications (U&G) theory, this research examines how millennials (Gen Y) nostalgically re-engage with media content and its outcomes in the emerging market context of India. The authors posit that nostalgia serves as both an emotional driver and a coping mechanism for digital overload, extending U&G theory by incorporating socially moderated gratifications beyond individual motives. Drawing on survey data (n=510) and using structural equation modeling to analyze the data, the authors find that while emotional needs and time of exposure boost nostalgic media engagement, perceived content overload reduces it. This engagement, in turn, enhances social sharing and emotional content attachment, with social connectedness moderating this effect. By showing that gratifications are not just individual (but also socially moderated) and by theorizing nostalgia as a coping mechanism against digital overload, the findings underscore that nostalgic re-engagement fulfils dual personal/social roles. Overall, the results detail the pathways and moderating factors influencing nostalgic media re-engagement, offering novel insight into the effect of individual motivations and social interactions on content consumption. Finally, the results reveal pertinent managerial implications, e.g., by suggesting the importance of reducing content overload (e.g., through curated recommendations), fostering social bonding via user-generated content, and incorporating nostalgic features like “memory lanes” and throwback content.
16th Conference on Data Analysis Methods for Software Systems
No full textThe 16th International Conference on Data Analysis Methods for Software Systems (DAMSS-2025) is taking place in Druskininkai, Lithuania. As in previous years, it is organized at the same venue and time, fostering active scientific exchange among participants.First organized in 2009 with 16 papers, the event began as a workshop under an international project and has evolved into a prominent conference. Founded by the Institute of Mathematics and Informatics, now the Institute of Data Science and Digital Technologies at Vilnius University, and supported by the Lithuanian Academy of Sciences and the Lithuanian Computer Society, the conference maintains high academic and organizational standards through long-term collaboration. The conference has grown into one of Lithuania’s leading events in computer science and computer engineering, promoting interdisciplinary research and fostering genuine innovation.This year, the conference features 90 presentations representing nine countries, with a total of 132 registered participants from Armenia, France, Italy, Lithuania, Poland, Romania, Slovenia, Spain, and Sweden. With participation from seven Lithuanian universities, science and higher education institutions, the conference serves as the main annual meeting for the country’s computer science community. The conference’s international character fosters project collaboration, facilitates the exchange of knowledge, and supports the development of innovative ideas on a global scale.The annual organization of DAMSS facilitates the rapid exchange of new ideas within the scientific community and is unique in providing opportunities for practical collaboration. Researchers from Lithuania and abroad, along with representatives from the industry and public sectors, are encouraged to develop joint projects, apply research to practical applications, and address both business and societal challenges, thereby aligning research with market needs and industry competencies.A key highlight of the conference is the participation of young scientists. Doctoral and Master’s students from Lithuania and other countries can present their research, engage in discussions, and gain valuable experience. This year, we have a special student presentation session. Traditionally, most presentations are delivered in poster format, providing an interactive platform for discussion and feedback. Oral sessions are mainly for keynote speakers. This year, we are pleased to invite six keynote speakers.Five IT companies and the Research Council of Lithuania support DAMSS-2025. This also demonstrates the relevance of the conference topics to the business sector.Topics covered by the conference include applied mathematics, artificial intelligence, big data, bioinformatics, blockchain technologies, business rules management, cybersecurity, data science, deep learning, high-performance computing, data visualization, machine learning, medical informatics, modelling educational data, ontological engineering, optimization, quantum computing, signal and image processing.This book compiles the presentations delivered at the DAMSS-2025 conference
Draudimo nuostolių visumos skirstinių aproksimavimas
No full textThe distribution of aggregate claims of a portfolio has been a central topic in risk theory. The discussion has focussed on two problems: the choice of the distribution and its numerical evalution by means of an approximation. The paper describes the method of approximation by means of orthogonal polynomoales, the Edgeworth and the Esscher methods.Santraukos nėra
Vilniaus universiteto fakultetų priėmimo rodiklių analizė ir prognozavimas (2000–2026 m.m.)
No full textThe study investigates the general admission indicators of Vilnius University and its faculties during the 2000–2026 academic years. AR, ARIMA, and exponential smoothing models are applied for data analysis and forecasting. Using correlation analysis, the study aims to assess the impact of demographic factors and determine whether their influence on admission results is statistically significant.Darbe analizuojami bendrieji Vilniaus universiteto ir atskirų fakultetų 2000–2026 m.m. priėmimo rodikliai. Duomenų analizei ir prognozėms taikomi AR, ARIMA laiko eilučių modeliai bei eksponentinio glodinimo metodas. Koreliacinės analizės pagalba siekiama įvertinti demografinių veiksnių poveikį bei nustatyti, ar šio poveikio įtaka priėmimo rezultatams yra statistiškai reikšminga
Message spreading modeling from the perspective of social psychology, differential equation dynamics, and deep learning technique
No full textTo gain a deeper understanding of the characteristics of message spreading, it is crucial to explore various methods of modeling this phenomenon. Given that message spreading is significantly influenced by social media, we propose a modified spreading model informed by social psychology analysis. This approach also incorporates differential equation dynamics and deep learning technique. The proposed model accounts for a cross-transmission mechanism between individuals and social media platforms, as well as a nonlinear spreading rate, to effectively characterize the saturation effect of messages. Utilizing Lyapunov functionals, we carry out a dynamical analysis of the message spreading model. Furthermore, we develop physics-informed neural networks based on deep learning technique that merges the efficiency inherent in data-driven modeling with the precision offered by mathematical modeling. Numerical simulations demonstrate that our prediction method can accurately capture real-time changes in data while correcting deviations observed in data-driven predictions, which highlights the robust potential for multidisciplinary integration among social psychology, differential equation dynamics, and deep learning technique
Finite-time stability of discrete fractional uncertain recurrent neural networks
No full textThis paper investigates finite-time stability of fractional uncertain difference equations with time delay. A fractional sum inequality is obtained from uncertain initial-value conditions. A delayed discrete Gronwall’s inequality is used, and sample paths are numerically illustrated. Finally, finite-time stability results are obtained for a fractional uncertain recurrent neural network model. It can be concluded that this paper provides an efficient tool for finite-time analysis of high-dimensional fractional uncertain systems with time delay
A class of nonlinear double-phase Dirichlet fractional differential equations
No full textIn this paper, we study the existence of positive solutions for a new class of double-phase Dirichlet fractional differential equations with singular and superlinear terms. By applying the Nehari manifold method we show that for all small values of the parameter τ > 0, the considered equation has at least two positive solutions