Iskanje po repozitoriju

Opis: Background Sand flies (Diptera: Phlebotominae) are vectors of Leishmania spp., protozoan parasites that cause leish- maniasis, a zoonosis endemic in the Mediterranean region. Although Slovenia is not considered endemic, its proximity to affected areas and the presence of competent vectors underscore the importance of entomological surveillance. As part of the CLIMOS project, we investigated sand fly species composition, seasonal abundance, and the presence of Leishmania parasites at two sites in southwestern Slovenia: Cetore and Velike Žablje. Methods From May to October 2023, adult sand flies were collected using Centers for Disease Control and Preven- tion (CDC) miniature light traps. Specimens were morphologically identified and screened for Leishmania spp. DNA using quantitative polymerase chain reaction (PCR) targeted kinetoplast DNA, followed by species confirmation with ITS-1 nested PCR and restriction fragment length polymorphism (RFLP) analysis. Results A total of 274 sand flies were collected, predominantly Phlebotomus neglectus, P. perniciosus, and P. mascittii. Abundance peaked in July in Cetore and August in Velike Žablje, likely reflecting local climatic differences. Among 25 pools of female sand flies analyzed, Leishmania DNA was detected in three pools (12.0%), specifically in P. neglectus and P. mascittii. The cycle threshold values (Ct 35–37) indicated low parasite DNA loads. ITS-1 amplification was unsuc- cessful, likely due to low DNA concentration. Conclusions This study provides the first molecular evidence of Leishmania DNA in sand flies from Slovenia. The detection of Leishmania in P. mascittii, a species with uncertain vector competence, is particularly noteworthy and warrants further investigation. Although species identification of the parasite was not possible, the findings suggest potential for autochthonous transmission and highlight the need for continued surveillance and research in the region.
Ključne besede: sand flies, Leishmania, Slovenia, vector surveillance, seasonality
Objavljeno v RUP: 28.08.2025; Ogledov: 514; Prenosov: 4
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Opis: A set of vertices of a graph is distinguishing if the only automorphism that preserves it is the identity. The minimal size of such sets, if they exist, is the distinguishing cost. The distinguishing costs of vertex transitive cubic graphs are well known if they are 1-arc-transitive, or if they have two edge orbits and either have girth 3 or vertex-stabilizers of order 1 or 2. There are many results about vertex-transitive cubic graphs of girth 4 with two edge orbits, but for larger girth almost nothing is known about the distinguishing costs of such graphs. We prove that cubic vertex-transitive graphs of girth 5 with two edge orbits have distinguishing cost 2, and prove the non-existence of infinite 3-arc-transitive cubic graphs of girth 6.
Ključne besede: distinguishing number, distinguishing cost, vertex-transitive cubic graphs, automorphisms
Objavljeno v RUP: 27.08.2025; Ogledov: 686; Prenosov: 4
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Opis: Background and Objective: During the COVID-19 pandemic, women faced unique employment-related stressors, including higher exposure to unstable working conditions, increased workload changes due to motherhood, and greater risk of infection in certain jobs. This study explores how these factors influence women’s anxiety and subjective well-being, aiming to identify vulnerable groups. Materials and Methods: 230 employed Slovene women, aged from 19 to 64 years (M = 32.60, SD = 10.41), participated in an online survey containing a State-Trait Anxiety Inventory (STAI-6), WHO-5 Well-being Index, and a set of questions regarding their occupation and demographic profile. Hierarchical linear regressions and chi-squared tests were performed. Results: The risk of job or income loss significantly predicted an increase in anxiety levels. However, despite fear of infection, none of the work-related variables predicted a significant decrease in subjective well-being. Women reporting risk of job or income loss are predominantly those with lower education and income, working students, self-employed, or working in the private sector. Conclusions: Employment insecurity is an important contributor to anxiety in women. The findings highlight the need to ensure job security, particularly for women working in precariat working conditions, as their work and economic stability prove to be vulnerable to external economic disturbances.
Ključne besede: COVID-19, women, employment insecurity, anxiety, mental health
Objavljeno v RUP: 08.08.2025; Ogledov: 531; Prenosov: 6
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Opis: The main goal of this research work is to determine the number of new words that a primary school pupil should know/acquire during each academic year. To accomplish this, we have created two datasets. The first dataset was compiled based on the "Explanatory Vocabulary of the Uzbek Language" (EDUL). The second dataset was created from 35 primary school textbooks for grades 1-4 approved by the Ministry of Preschool and School Education of the Republic of Uzbekistan, and it was named the "Uzbek Primary School Corpus" (UPSC) by authors. Using the "Comparative Lemma Extraction Method" (CLEM) proposed by the authors of the article, a vocabulary for grades 1-4 was created, and the problem of determining the number of new words (disregarding word forms as Uzbek is a morphologically rich language) that primary school pupils should learn each academic year was solved.
Ključne besede: Uzbek language, primary school, corpus construction, natural language processing (NLP), comparative Lemma extraction method
Objavljeno v RUP: 08.08.2025; Ogledov: 538; Prenosov: 7
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Opis: Reinforcement learning has emerged as a prominent method for controlling dynamic systems in the absence of a precise mathematical model. However, its reliance on extensive interactions with the environment often leads to prolonged training periods. In this paper, we propose an alternative approach to learning control policies that focuses on learning qualitative models and uses symbolic planning to derive a qualitative plan for the control task, which is executed by an adaptive reactive controller. We conduct experiments utilizing our approach on the cart-pole problem, a standard benchmark in dynamic system control. We additionally extend this problem domain to include uneven terrains, such as driving over craters or hills, to assess the robustness of learned controllers. Our results indicate that qualitative learning offers significant advantages over reinforcement learning in terms of sample efficiency, transferability, and interpretability. We demonstrate that our proposed approach is at least two orders of magnitude more sample efficient in the cart-pole domain than the usual variants of reinforcement learning.
Ključne besede: qualitative modeling, qualitative reasoning, qualitative control, transfer learning
Objavljeno v RUP: 07.08.2025; Ogledov: 571; Prenosov: 11
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