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1.
Detection and characterization of Sindbis virus genotype IV in mosquitoes from Slovenia
Patricija Pozvek, Miša Korva, Samo Zakotnik, Tea Knapič, Katja Adam, Katarina Resman Rus, Gašper Grubelnik, Tomi Trilar, Vladimir Ivović, Tatjana Avšič-Županc, Nataša Knap, 2026, izvirni znanstveni članek

Opis: 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.
Ključne besede: arboviruses, Genotype IV, mosquitoes, NGS, phylogenetic analysis, Sindbis virus
Objavljeno v RUP: 03.02.2026; Ogledov: 69; Prenosov: 2
.pdf Celotno besedilo (1,17 MB)
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2.
An Isogeometric Tearing and Interconnecting (IETI) method for solving high order partial differential equations over planar multi-patch geometries
Mario Kapl, Aljaž Kosmač, Vito Vitrih, 2026, izvirni znanstveni članek

Opis: 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.
Ključne besede: isogeometric analysis, Galerkin method, C^s-smoothness, Tearing and Interconnecting, multi-patch domain, polyharmonic equation
Objavljeno v RUP: 02.02.2026; Ogledov: 90; Prenosov: 4
.pdf Celotno besedilo (6,42 MB)
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3.
Inferring a Mobile User’s Valence and Arousal through On-Screen Text Analysis
Edita Džubur, Veljko Pejović, 2025, samostojni znanstveni sestavek ali poglavje v monografski publikaciji

Opis: 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.
Ključne besede: text analysis, experience sampling method, screentext sensing, valence, arousal, large language models
Objavljeno v RUP: 30.01.2026; Ogledov: 139; Prenosov: 0
.pdf Celotno besedilo (350,11 KB)

4.
Human-Computer Interaction in Slovenia : A Retrospective and Trend Analysis of Local Research
Ciril Bohak, 2025, samostojni znanstveni sestavek ali poglavje v monografski publikaciji

Opis: 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.
Ključne besede: Human-Computer Interaction, Slovenia, research trends, retrospective analysis, publication analysis
Objavljeno v RUP: 29.01.2026; Ogledov: 164; Prenosov: 0
.pdf Celotno besedilo (178,08 KB)

5.
A 25-Year Odyssey through Luxury Tourism Research
Aji Sudarsono, Ramiz Ansharil Haq, 2025, izvirni znanstveni članek

Opis: 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.
Ključne besede: luxury tourism, bibliometric analysis, systematic literature review, PRISMA, digitalization, consumer behaviour
Objavljeno v RUP: 20.01.2026; Ogledov: 157; Prenosov: 0
.pdf Celotno besedilo (836,90 KB)

6.
Dataset of sentiment tagged language resources for Macedonian language
Sofija Kochovska, Jernej Vičič, Branko Kavšek, 2026, izvirni znanstveni članek

Opis: 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.
Ključne besede: Macedonian language, sentiment analysis, sentiment lexicon, sentiment analys, rule-based methods, natural language processing, low-resource languages, AnA words, stopwords, intensifiers, diminishers, polarity shifters
Objavljeno v RUP: 20.01.2026; Ogledov: 200; Prenosov: 2
.pdf Celotno besedilo (251,79 KB)
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7.
Relevance of Place Attachment towards Sustainability in Tourism : A Bibliometric Analysis
Arun Bhatia, Umesh Kumar, Saurabh Kumar, Divyam Sharma, 2025, izvirni znanstveni članek

Opis: Sustainability is a core and primary outcome of place attachment studies, an increasingly popular research topic in the tourism industry. It is a significant concern in daily life because of social and environmental issues and the need to preserve legacy and facilities to maintain tourism destinations. In this study, the Scopus database and keywords related to place attachment, sustainability, and tourism were used to identify the papers. The result revealed that 720 papers were found in the Scopus database from 1988 to 2023. After filtering the data, only 448 papers were included for further analysis. In this study, authors use the bibliometrics analysis technique, VOSviewer, and RStudio software to quantify and visualise the existing literature on place attachment and sustainability and evaluate the main overview of the research summary. This study aims to present a bibliometric overview of place attachment towards sustainability in tourism research. The study employed co-occurrence of keywords, most prolific authors, most cited countries, most cited articles, and co-authorship by country analyses. The findings show significant growth in the field of place attachment and sustainability research, including authors, significant journals, research papers, and countries.
Ključne besede: place, place attachment, sustainability, tourism, bibliometric analysis
Objavljeno v RUP: 20.01.2026; Ogledov: 174; Prenosov: 0
.pdf Celotno besedilo (476,83 KB)

8.
Exploring student perspectives on e-learning in nursing education
Mirko Prosen, Sabina Ličen, 2025, samostojni znanstveni sestavek ali poglavje v monografski publikaciji

Opis: E-learning has rapidly gained prominence in nursing education, offering flexible alternatives to traditional learning. This study aimed to explore nursing students’ experiences with e-learning, focusing on perceived benefits, challenges, and its impact on skill acquisition. Using a qualitative design, data were collected from four face-to-face focus groups comprising 20 nursing students. Thematic analysis was employed to examine the data, yielding six key themes: Flexibility and accessibility benefits, Impact on student engagement and interaction, Technological and infrastructure challenges, Effect on practical skills and learning outcomes, Diverse preferences in learning approaches, and Self-management and motivation in e-learning. The findings indicate that, while e-learning provides accessibility and flexibility, it poses challenges in practical skill development and engagement. This study emphasises the need for adaptive e-learning models to meet diverse learning requirements effectively.
Ključne besede: online learning, blended learning, thematic analysis, skill development, student engagement
Objavljeno v RUP: 22.12.2025; Ogledov: 173; Prenosov: 0
.pdf Celotno besedilo (323,42 KB)

9.
Exploring musicological discourses : a preliminary meta-analysis of Slovenian scholary articles
Tjaša Ribizel Popič, 2025, samostojni znanstveni sestavek ali poglavje v monografski publikaciji

Opis: This study conducts an exploratory corpus-linguistic meta-analysis in order to determine some prevailing trends in musicological literature published across four prominent Slovenian academic journals. The research aims to provide a dataset and resource for an exploratory analysis of the dominant themes, linguistic patterns, and shifts in scholarly focus over time by compiling a corpus of musicological articles. Combining corpus linguistics with meta-analytic approaches enables a systematic examination of extensive textual data, providing quantitative insights into the evolution of musicological discourse in Slovenia. The findings illuminate thematic and methodological developments within the field, offering valuable perspectives for researchers and educators interested in the progression of musicological studies nationally and internationally. In addition, this approach presupposes that the resource (corpus) will be openly available to other researchers interested in such interdisciplinary efforts, with open access being one of the main tenets of digital humanities.
Ključne besede: musicological studies, musicological discourse, meta-analysis
Objavljeno v RUP: 19.12.2025; Ogledov: 149; Prenosov: 0
.pdf Celotno besedilo (13,39 MB)

10.
Integrating Happiness Research into Endpoint Indicators of Social Life Cycle Analysis
Stefan Mann, Melf-Hinrich Ehlers, 2025, izvirni znanstveni članek

Opis: Endpoint indicators for social life cycle analysis (S-LCA) are still less consolidated than those for environmental LCA. There is a broad consensus that human well-being should be the overarching goal of social sustainability and therefore also of S-LCA. However, to date the two major databases for S-LCA are restricted to a multiplication of working hours with a quality- or risk-adjusted factor. This paper aims to evaluate the congruence between this technical pragmatism and well-established findings of happiness research. The analysis starts with the argument that evidence and consequentiality are necessary criteria for any variables used. It is then shown that some of the variables such as poverty are not consequential, while the unit of working hours lacks any evidence about a relationship with subjective well-being. The analysis concludes that a simple pointbased endpoint indicator would be more appropriate for S-LCA than the current hour-based indicator.
Ključne besede: social sustainability, life cycle analysis, indicators, endpoint
Objavljeno v RUP: 18.12.2025; Ogledov: 180; Prenosov: 0
.pdf Celotno besedilo (202,42 KB)
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