1. Enabling cross-sectoral transformation for coastal climate adaptation in Europe : four directions for interdisciplinary effortsKristof Tomej, Carla Garcia-Lozano, Josep Vila-Subiros, Alberto Innocenti, Emil Juvan, Olivier Le Pape, Niels Tobias Arnoldussen, Jonathan Verschuuren, Timothy Taylor, Gesche Huebner, 2026, izvirni znanstveni članek Opis: Coastal areas in Europe are of immense value – not only to their residents but also to communities further inland. At the same time, they are particularly vulnerable to the impacts of climate change. The current pace of coastal climate adaptation remains slow, constrained by underfunding and the fragmented, sectoral nature of many initiatives. This calls for radically new yet practical approaches. In this perspective, a group of European researchers from diverse disciplines explores what cross-sectoral transformation could mean in the context of coastal climate adaptation. Drawing on expertise in environmental science, spatial planning, law, ecology, health, and tourism, we propose four directions for interdisciplinary research to enable such transformation: (1) developing dynamic and holistic understandings of climate impacts and adaptation responses; (2) establishing shared adaptation objectives and priorities across sectors; (3) promoting ecosystem-based development; and (4) adapting legal and institutional systems to support integration and flexibility. We invite scholars and practitioners to engage with these interdependent directions to advance adaptation efforts for European coasts.
Ključne besede: climate adaptation, climate change, coast cross-sectoral, nature-based solutions, transformation
Objavljeno v RUP: 13.02.2026; Ogledov: 85; Prenosov: 2
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2. Predicting Italian students’ mathematics outcomes : a decision tree regression analysisDaniel Doz, Darjo Felda, Mara Cotič, 2025, izvirni znanstveni članek Opis: The present paper aims to investigate the factors that influence the achievements of Italian students on the National Mathematics Assessment INVALSI. The study is a quantitative non-experimental research and utilizes the Decision Tree Method (DTM), a data mining and machine learning approach, to analyze the relationships and interactions among the variables and their influence on students’ mathematics performance. The sample for the study consists of 15,344 grade-10 students who took the INVALSI test in the school year 2021/22. Findings show that school typology had the highest relative importance, followed by students’ school grades in mathematics, socioeconomic status, geographic macroregion, gender, age, and, finally, origin. Based on these results, policymakers and educators should prioritize interventions that enhance educational environments and individual academic proficiency, particularly focusing on school type, mathematics grades, and students’ ESCS, to improve student achievements and promote deeper learning.
Ključne besede: INVALSI, decision tree, cross-validation, mathematics
Objavljeno v RUP: 19.01.2026; Ogledov: 215; Prenosov: 9
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3. Code glosses in tourism discourse : a contrastive analysis of Croatian tourist brochures, English originals, and their translationsMarina Peršurić Antonić, 2025, izvirni znanstveni članek Ključne besede: code glosses, metadiscourse, tourist brochures, translation strategies, cross-cultural communication, English as a lingua franca (ELF), persuasiveness in tourism discourse
Objavljeno v RUP: 13.01.2026; Ogledov: 197; Prenosov: 5
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5. Reinforcement learning for graph theory, II. Small Ramsey numbersMohammad Ghebleh, Salem Al-Yakoob, Ali Kanso, Dragan Stevanović, 2025, izvirni znanstveni članek Opis: We describe here how the recent Wagner’s approach for applying reinforcement learning to construct examples in graph theory can be used in the search for critical graphs for small Ramsey numbers. We illustrate this application by providing lower bounds for the small Ramsey numbers R(K_{2, 5}, K_{3, 5}), R(B₃, B₆) and R(B₄, B₅) and by improving the lower known bound for R(W₅, W₇).
Ključne besede: Ramsey number, critical graph, reinforcement learning, cross-entropy method
Objavljeno v RUP: 03.11.2025; Ogledov: 326; Prenosov: 4
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7. Vedenjske lastnosti skozi čas in med državami : eseji o posredni recipročnosti, zavajanju ter narodnostiŽiga Velkavrh, 2022, doktorska disertacija Ključne besede: altruism, behavioral strategies, cross-national study, deception, deception game, experiential behavior, helping game, honesty, indirect reciprocity
Objavljeno v RUP: 17.11.2022; Ogledov: 2724; Prenosov: 50
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9. On characterization of transparency order for (n, m)-functionsYu Zhou, Yongzhuang Wei, Hailong Zhang, LuYang Li, Enes Pašalić, Wenling Wu, 2021, objavljeni znanstveni prispevek na konferenci Ključne besede: (n, m)-functions, transparency order, nonlinearity, cross-correlation
Objavljeno v RUP: 18.11.2021; Ogledov: 2664; Prenosov: 27
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