Iskanje po repozitoriju

Opis: How long visitors spend viewing artworks, often referred to as dwell time, has long been studied in museology as a potential behavioral indicator of engagement. However, dwell time may encode both genuine preference and situational factors such as fatigue, and disentangling these signals for computational modeling has received limited attention. This study investigates whether dwell time can serve as a valid preference indicator for implicit user modeling and whether incorporating it can improve artwork recommendation. Using the BIRD dataset, which includes eye-tracking data for extracting dwell times and explicit preferences from 51 museum visitors, we report three main findings. First, visitors spend significantly longer (9.27 seconds on average) viewing artworks they like, with a large effect size (Cohen’s d = 1.47). Second, we confirm the museum fatigue phenomenon, the progressive decline in visitor attention throughout a visit, observing a 34% reduction in dwell time from visit start to end. Third, we evaluate collaborative filtering approaches and find that while purely implicit models using dwell time alone perform near-chance level, a hybrid approach that uses dwell time to compute item similarities while predicting preferences from explicit likes achieves the best performance (AUC-ROC = 0.755, AP = 0.522). These findings suggest that dwell time provides complementary information to explicit feedback and can enhance museum recommendation systems when appropriately integrated.
Ključne besede: implicit, user modeling, recommender systems, artwork, museum
Objavljeno v RUP: 09.06.2026; Ogledov: 433; Prenosov: 47
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Opis: Phlebotomine sand flies (Diptera: Phlebotominae) are the principal vectors of Leishmania spp. (Kinetoplastida: Trypanosomatidae). In Central Europe, Phlebotomus mascittii is the predominant species, but largely understudied. To better understand factors driving its current distribution, we infer patterns of genetic diversity by testing for signals of population expansion based on two mitochondrial genes and model current and past climate and habitat suitability for seven post-glacial maximum periods, taking 19 climatic variables into account. Consequently, we elucidate their connections by environmental-geographical network analysis. Most analyzed populations share a main haplotype tracing back to a single glacial maximum refuge area on the Mediterranean coasts of South France, which is supported by network analysis. The rapid range expansion of Ph. mascittii likely started in the early mid-Holocene epoch until today and its spread possibly followed two routes. The first one was through northern France to Germany and then Belgium, and the second across the Ligurian coast through present-day Slovenia to Austria, toward the northern Balkans. Here we present a combined approach to reveal glacial refugia and post-glacial spread of Ph. mascittii and observed discrepancies between the modelled and the current known distribution might reveal yet overlooked populations and potential further spread.
Ključne besede: Phlebotomus mascittii, modeling, Europe
Objavljeno v RUP: 06.10.2025; Ogledov: 738; Prenosov: 7
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Opis: This paper describes an open-source computational tool developed for the modeling and simulation of fed-batch bioreactors, particularly for processes employing Chinese Hamster Ovary (CHO) cells, which are integral to biopharmaceutical manufacturing. The software provides a platform for researchers and industry professionals to simulate bioreactor dynamics and investigate the impact of various operational parameters, such as nutrient supply rates, oxygen concentrations, and temperature, prior to physical experimentation. The tool enables users to generate predictions of critical variables including cell density, nutrient consumption, and product concentration profiles over time. These predictions are derived from a mathematical framework based on a system of ordinary differential equations solved using the Runge–Kutta method. A notable capability of the software is the import of experimental data and the application of the Nelder–Mead algorithm for parameter optimization, allowing for the calibration of the model against empirical findings, thereby enhancing its predictive accuracy. The software supports in silico experimentation, which can contribute to reducing the time, cost, and resources associated with optimizing bioreactor configurations and scaling up production processes. By providing a refined and adaptable framework, this instrument assists in improving the understanding of bioreactor dynamics, optimizing biopharmaceutical production methodologies, and correlating theoretical models with practical bioreactor operations. The software is available as an open-source project to promote its adoption and continued development within the scientific community.
Ključne besede: bioreaktor, mathematical modeling, CHO
Objavljeno v RUP: 29.09.2025; Ogledov: 1179; Prenosov: 12
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Opis: Introduction: Mental health stigma remains a major barrier to accessing psychiatric care worldwide, with pronounced effects in culturally traditional societies such as Peshawar, Pakistan. In the Pashtun cultural context, the code of Pashtunwali—an honor-based system—shapes social attitudes and behaviors, potentially influencing mental health help-seeking patterns. This study examines how cultural narratives, social norms, and stigma interact to affect help-seeking behavior in this sociocultural setting. Methods: A cross-sectional survey was conducted among a stratified random sample of 400 adults aged 19 years and above in Peshawar. Data were collected using culturally validated instruments, including the Mental Illness Stigma Scale (MISS) and a Social Norms Scale. Bivariate analyses employed simple linear regression and binary logistic regression to examine individual relationships between variables. Multivariate analyses, including multiple linear regression and Structural Equation Modeling (SEM), were used to assess combined effects and mediation pathways. Results: Cultural narratives had a positive impact on help-seeking behavior, explaining 42% of its variance. Stigma showed a significant negative association, decreasing help-seeking likelihood by 26% for each unit increase. Social norms demonstrated a positive association with help-seeking behavior and indirectly reduced stigma. Collectively, these variables accounted for 68% of the variance in help-seeking likelihood. Discussion: The findings highlight the pivotal role of culturally resonant narratives and supportive social norms rooted in Pashtunwali in improving mental health service utilization. Addressing stigma while reinforcing positive cultural frameworks can substantially enhance help-seeking behavior in Peshawar and similar sociocultural contexts.
Ključne besede: cultural narratives, mental health stigma, social norms, psychiatric help, structural equation modeling (SEM)
Objavljeno v RUP: 28.08.2025; Ogledov: 1820; Prenosov: 14
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Opis: Sandflies (Diptera: Psychodidae: Phlebotominae) are important vectors of pathogens, including Leishmania parasites and phleboviruses, but their distribution and seasonal activity in Slovenia have not been sufficiently studied. This study presents a comprehensive three-year (2020–2022) surveillance programme aimed at assessing the diversity of sandfly species, their distribution, seasonal dynamics and potential role as vectors of pathogens. A total of 1,240 sandflies were collected at 43 sampling sites across Slovenia, identifying Phlebotomus papatasi, P. neglectus, P. perniciosus and P. mascittii. The highest abundance and species diversity were observed in the Mediterranean and Karst regions. Seasonal activity peaked in July, with population fluctuations influenced by climatic conditions. Molecular analyses for Leishmania parasites and phleboviruses showed no positive results, indicating a low prevalence of pathogens in the sampled populations. Predictive habitat models indicate that environmental factors, particularly temperature and precipitation, play a decisive role in the spread of sandflies. While P. mascittii has the largest ecological range, its vector competence remains uncertain. The results provide important insights into the ecology of sandflies in Slovenia and emphasize the need for continuous surveillance in the context of climate change and emerging vector-borne disease risks.
Ključne besede: sandflies, monitoring, distribution, modeling, Slovenia
Objavljeno v RUP: 04.08.2025; Ogledov: 1108; Prenosov: 10
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