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2. O prostorih gladkih zlepkov in izogeometričnih metodah za reševanje parcialnih diferencialnih enačb višjih redov nad večdelnimi domenami : doktorska disertacijaAljaž Kosmač, 2026, doctoral dissertation Keywords: isogeometric analysis, partial differential equations, multi-patch domains, splines, Cs-smoothnes, Galerkin method, collocation, mixed degree and regularity spline spaces
Published in RUP: 09.02.2026; Views: 51; Downloads: 0
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3. Death and burial of a set of fraternal twins from Tragurium : an osteobiographical approachAnna J. Osterholtz, Mario Novak, Mario Carić, Lujana Paraman, 2025, original scientific article Keywords: bioarchaeology, osteobiography, Croatia, paleopathology, isotopic analysis, Early Roman Period
Published in RUP: 09.02.2026; Views: 66; Downloads: 2
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4. The ontogeny of the human calcaneus : insights from morphological and trabecular changes during postnatal growthCarla Figus, Kristian J. Carlson, Eugenio Bortolini, Jaap Saers, Francesca Seghi, Rita Sorrentino, Federico Bernardini, Antonino Vazzana, Igor Erjavec, Mario Novak, Claudio Tuniz, Maria Giovanna Belcastro, Jay T. Stock, Timothy M. Ryan, Stefano Benazzi, 2025, original scientific article Keywords: calcaneal ontogeny, geometric morphometrics, locomotion, trabecular analysis, calcaneus, bipedal locomotion, micro-CT
Published in RUP: 09.02.2026; Views: 69; Downloads: 2
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5. Detection and characterization of Sindbis virus genotype IV in mosquitoes from SloveniaPatricija Pozvek, Miša Korva, Samo Zakotnik, Tea Knapič, Katja Adam, Katarina Resman Rus, Gašper Grubelnik, Tomi Trilar, Vladimir Ivović, Tatjana Avšič-Županc, Nataša Knap, 2026, original scientific article Abstract: Mosquitoes play a crucial role as vectors of disease pathogens and are among the most socioeconomically important animals in the world. Medically important arboviruses include the Sindbis virus (SINV), which causes chills, skin rashes, and joint pain. Endemic in northern Europe, SINV has been increasingly detected in central Europe. The main objectives of this study were to monitor and screen mosquitoes for the presence of SINV. We included samples of mosquitoes collected throughout the years at different locations in Slovenia. The mosquitoes were first identified and then pooled according to species, sex, date of sampling, and location. Nucleic acid (NA) was isolated from these pools, and the target segment of the SINV genome was amplified using molecular methods. We performed detailed phylogenetic analyses of the SINV-positive mosquito pools. From 2020 to 2024, we monitored mosquitoes at 226 locations in Slovenia and collected 112,001 samples, which were identified and grouped into 11,595 pools. Using real-time reverse transcription polymerase chain reaction (RT-PCR), we found SINV RNA in five pools of Culex modestus mosquitoes collected in two regions of northeastern Slovenia in August 2022 and in July, August, and September 2024. The SINV discovered in Slovenia (SINV-SLO) was classified as Genotype IV. We designed a primer scheme for the whole-genome amplification of SINV based on the alignment of the available SINV-IV sequences and performed molecular characterization of the sequences. Our findings revealed that SINV-SLO is closely related to the SINV strains identified in Russia, Azerbaijan, and China. In Europe, it is Genotype I that is most frequently detected and causes epidemics, whereas Genotype IV, which was detected in Slovenia, has not yet been associated with disease outbreaks.
Keywords: arboviruses, Genotype IV, mosquitoes, NGS, phylogenetic analysis, Sindbis virus
Published in RUP: 03.02.2026; Views: 133; Downloads: 2
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6. An Isogeometric Tearing and Interconnecting (IETI) method for solving high order partial differential equations over planar multi-patch geometriesMario Kapl, Aljaž Kosmač, Vito Vitrih, 2026, original scientific article Abstract: We present a novel method for solving high-order partial differential equations (PDEs) over planar multi-patch geometries with
possibly extraordinary vertices demonstrated on the basis of the polyharmonic equation of order m, m ≥ 1, which is a particular linear elliptic PDE of order 2m. Our approach is based on the concept of Isogeometric Tearing and Interconnecting (IETI) and allows to couple the numerical solution of the PDE with Cs-smoothness, , across the edges of the multi-patch geometry. The proposed technique relies on the use of a particular class of multi-patch geometries, called bilinear-like Gs multi-patch parameterizations, to represent the multi-patch domain. The coupling between the neighboring patches is done via the use of Lagrange multipliers and leads to a saddle point problem, which can be solved first by a small dual problem for a subset of the Lagrange multipliers followed by local, parallelizable problems on the single patches for the coefficients of the numerical solution. Several numerical examples for the polyharmonic equation of order m = 1, m = 2 and m = 3, i.e. for the Poisson’s, the biharmonic and the triharmonic equation, respectively, are shown to demonstrate the potential of our IETI method for solving high-order problems over planar multi-patch geometries with possibly extraordinary vertices.
Keywords: isogeometric analysis, Galerkin method, C^s-smoothness, Tearing and Interconnecting, multi-patch domain, polyharmonic equation
Published in RUP: 02.02.2026; Views: 127; Downloads: 4
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7. Inferring a Mobile User’s Valence and Arousal through On-Screen Text AnalysisEdita Džubur, Veljko Pejović, 2025, independent scientific component part or a chapter in a monograph Abstract: Understanding a user’s emotional state is critical for building adaptive and intelligent mobile applications. In this paper we investigate the feasibility of inferring valence and arousal from the text displayed on smartphone screens. We developed AV-Sense, a mobile application that combines the Experience Sampling Method, a technique that prompts users to report their feelings in the moment, with passive screentext logging. In a two-week study with 12 participants, we collected 787 ESM responses and over 650,000 screentext entries. Data analysis revealed meaningful temporal and individual patterns in reported affect. We then explored the use of large language models to predict valence and arousal from screentext, but results indicated limited predictive power in this setting. Our findings highlight both the potential and current challenges of screentext-based affect inference, laying the groundwork for future research on emotion-aware applications and naturalistic psychological studies.
Keywords: text analysis, experience sampling method, screentext sensing, valence, arousal, large language models
Published in RUP: 30.01.2026; Views: 203; Downloads: 0
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8. Human-Computer Interaction in Slovenia : A Retrospective and Trend Analysis of Local ResearchCiril Bohak, 2025, independent scientific component part or a chapter in a monograph Abstract: This paper presents a retrospective and trend analysis of Human-Computer Interaction (HCI) research in Slovenia, with a focus on publications from national Human-Computer Interaction (HCI) conference venues between 2014 and 2024. Drawing on a dataset of 84 papers authored by 138 distinct contributors, we examine the evolution of research topics, author participation, and institutional involvement over time. The results show a relatively stable number of accepted papers per year, accompanied by fluctuations in author diversity, with 2022 marking a peak in community engagement. The analysis highlights both the persistence of core Human-Computer Interaction (HCI) themes—such as usability, interaction design, and visualization—and the gradual inclusion of emerging areas, including immersive technologies and data-driven design. By situating local contributions within broader international developments, the study provides an overview of the Slovenian Human-Computer Interaction (HCI) landscape, identifies patterns of collaboration and dissemination, and relects on challenges and opportunities for strengthening the community in the future.
Keywords: Human-Computer Interaction, Slovenia, research trends, retrospective analysis, publication analysis
Published in RUP: 29.01.2026; Views: 200; Downloads: 0
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9. A 25-Year Odyssey through Luxury Tourism ResearchAji Sudarsono, Ramiz Ansharil Haq, 2025, original scientific article Abstract: This study conducts a bibliometric and systematic literature review (SLR) of luxury tourism research, analysing 72 Scopus-indexed articles from 2000 to 2025. The findings reveal a growing interest in luxury tourism, with publication peaks in 2024 (14 articles) and notable growth between 2022 and 2023. Italy leads in research output (8 articles), followed by the UK, New Zealand, and China (7 each), while developing nations like Indonesia remain underrepresented. Thematic analysis identifies key clusters, including socio-economic impacts, luxury consumer behaviour, and sustainability in hospitality. Research predominantly employs qualitative methodology (38 studies) as the primary data collection tool. Emerging trends emphasize digitalization, sustainability, and experiential luxury tourism, with increasing use of AI, machine learning, and social media analytics. The study highlights the multidisciplinary nature of luxury tourism, intersecting with business, social sciences, and environmental studies. Mixed-method approaches are gaining traction, blending qualitative depth with quantitative generalizability. Key challenges include balancing luxury tourism’s economic benefits with sustainability and addressing infrastructural gaps in emerging destinations. The VOSviewer analysis underscores global research collaborations, with Europe and Asia as dominant contributors. Practical implications suggest that stakeholders should prioritize sustainable practices, digital marketing, and personalized experiences to cater to luxury tourists. Future research should explore developing markets, cultural influences, and policy impacts to enrich the global understanding of luxury tourism dynamics.
Keywords: luxury tourism, bibliometric analysis, systematic literature review, PRISMA, digitalization, consumer behaviour
Published in RUP: 20.01.2026; Views: 170; Downloads: 0
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10. Dataset of sentiment tagged language resources for Macedonian languageSofija Kochovska, Jernej Vičič, Branko Kavšek, 2026, original scientific article Abstract: Macedonian is a South Slavic language spoken by about 2 million people, primarily in North Macedonia and among diaspora communities worldwide. It’s known for a few distinctive features. Most notably, it uses definite articles attached to the end of nouns, for example, kniga (a book) becomes knigata (the book). Furthermore, it doesn’t use grammatical cases, which makes its grammar relatively straightforward compared to other Slavic languages. The dataset comprises two lists of sentiment annotated words that present the core of the Macedonian sentiment-annotated lexicon, a list of the stopwords, and a list of Affirmative and non-Affirmative words (AnAwords) composed mostly of intensifiers and diminishers, and a list of polarity shifters. The main usage of the presented materials is in rule-based sentiment analysis, but the usage of some of the lists can be much broader.
Keywords: Macedonian language, sentiment analysis, sentiment lexicon, sentiment analys, rule-based methods, natural language processing, low-resource languages, AnA words, stopwords, intensifiers, diminishers, polarity shifters
Published in RUP: 20.01.2026; Views: 208; Downloads: 2
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