21. Muzej prevozništva in tovorništva v Senožečah : utemeljitev in vizija obnove mitnice ter vsebinski oris muzejske postavitveNikita Peresin Meden, Aleksander Panjek, Ines Beguš, 2025, samostojni strokovni sestavek ali poglavje v monografski publikaciji Opis: Prenova stavb na območju mitnice v Senožečah predstavlja izhodiščni pogoj za sodoben razvoj kraja na participativni osnovi v skladu z najnovejšimi pojmovanji trajnostnega razvoja lokalnih skupnosti. Prijavna projektna dokumentacija
za »Muzej prevozništva in tovorništva« je med drugim vsebovala prilogo, v kateri
sta bili predstavljeni utemeljitev in vizija obnove mitnice ter muzejsko-turističnih vsebin. V slednji so med drugim navedene ključne značilnosti iz krajevne zgodovine, ki so pomembne za pojasnitev vsebin in postavitve muzeja. Izpostavljena
sta lokalni in nacionalni pomen ter cilj muzeja, ki je valorizirati in predstaviti zanimivo
in svojevrstno zgodovino kraja ter gospodarskih dejavnosti, ki so vplivale na njegov razvoj in z njim soobstajale stoletja. Poudarek je na najbolj razširjenih gospodarskih dejavnostih tega prostora in obenem slovenskega podeželja, to je na tovorništvu in prevozništvu, ki sta vplivala na razvoj kraja in razcvet drugih,
nanju vezanih dejavnosti.
Ključne besede: mitnice, idejni razvoj muzeja, gospodarska zgodovina, razvoj podeželja, evropska sredstva
Objavljeno v RUNG: 14.04.2025; Ogledov: 180; Prenosov: 0
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22. Early stress detection in forest trees using a nanobody-functionalized electrochemical biosensor for ascorbate peroxidaseClaudia D'Ercole, Rossella Svigelj, Tanja Mrak, Ario De Marco, 2025, izvirni znanstveni članek Opis: Forest environments are exposed to multiple stressful factors of both abiotic and biotic nature such as heavy metal contamination, drought, or pest infestations which may lead to their massive decline. We designed a comprehensive approach for isolating, producing and functionalizing reagents suitable for the affordable detection of forest plant stress biomarkers with the aim to provide quantitative data to assess plant stress fluctuation and, possibly, to design mitigation strategies. We first optimized a panning protocol to recover nanobodies targeting shared sequences that could cross-react with both Pisum sativum and Populus nigra ascorbate peroxidase (APX). After their production as recombinant constructs and their extensive biophysical and biochemical characterization, such reagents were exploited as the immunocapture element of an electrochemical biosensor conceived as a potential point-of-care device. Such biosensor could detect both pea and poplar APX in leaf extracts and could be used to clearly discriminate between control and heavy metal-stressed poplar plants based on their APX activity, even before the appearance of any phenotypic symptom. The combination of fast and inexpensive reagent production with the development of portable diagnostics opens the opportunity for large-scale, on-site surveys of forest trees.
Ključne besede: plant stress, scavengers, diagnostics, nanobodies, biosensors
Objavljeno v RUNG: 11.04.2025; Ogledov: 237; Prenosov: 2
 Celotno besedilo (4,65 MB)
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23. Annotated database of Slovenian adjectivesPetra Mišmaš, Marko Simonović, Stefan Milosavljević, 2025, zaključena znanstvena zbirka raziskovalnih podatkov Opis: This database presents the morphological annotation of Slovenian adjectives. It includes the 6,000 most frequent adjectives in Slovenian, extracted from the Gigafida 2.0 corpus (deduplicated) using the CQL [tag="P.*"] on a random sample of 10,000,000 lines in the NoSketch engine in March 2024.
Ključne besede: Slovenian, adjectives, morphology, derivation, affixes
Objavljeno v RUNG: 09.04.2025; Ogledov: 288; Prenosov: 4
Celotno besedilo (48,29 KB)
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25. Metagenomics studies in aquaculture systems : big data analysis, bioinformatics, machine learning and quantum computingOrkid Coskuner-Weber, Semih Alpsoy, Ozgur Yolcu, Egehan Teber, Ario De Marco, Spase Shumka, 2025, pregledni znanstveni članek Ključne besede: marine biology, machine learning, diagnostics
Objavljeno v RUNG: 07.04.2025; Ogledov: 271; Prenosov: 0
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26. The Pierre Auger Observatory open dataA. Abdul Halim, Andrej Filipčič, Jon Paul Lundquist, Shima Ujjani Shivashankara, Samo Stanič, Serguei Vorobiov, Danilo Zavrtanik, Marko Zavrtanik, 2025, izvirni znanstveni članek Opis: The Pierre Auger Collaboration has embraced the concept of open access to their research data since its foundation, with the aim of giving access to the widest possible community. A gradual process of release began as early as 2007 when 1% of the cosmic-ray data was made public, along with 100% of the space-weather information. In February 2021, a portal was released containing 10% of cosmic-ray data collected by the Pierre Auger Observatory from 2004 to 2018, during the first phase of operation of the Observatory. The Open Data Portal includes detailed documentation about the detection and reconstruction procedures, analysis codes that can be easily used and modified and, additionally, visualization tools. Since then, the Portal has been updated and extended. In 2023, a catalog of the highest-energy cosmic-ray events examined in depth has been included. A specific section dedicated to educational use has been developed with the expectation that these data will be explored by a wide and diverse community, including professional and citizen scientists, and used for educational and outreach initiatives. This paper describes the context, the spirit, and the technical implementation of the release of data by the largest cosmic-ray detector ever built and anticipates its future developments.
Ključne besede: ultra-high-energy cosmic rays (UHECRs), extensive air showers, Pierre Auger Observatory, open data, UHECR event data, space weather data, Auger Open Data Portal
Objavljeno v RUNG: 03.04.2025; Ogledov: 374; Prenosov: 8
Celotno besedilo (3,12 MB)
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29. High-resolution ptychographic imaging at a seeded free-electron laser source using OAM beamsMatteo Pancaldi, Francesco Guzzi, Charles S. Bevis, Michele Manfredda, Jonathan Barolak, Stefano Bonetti, Iuliia Bykova, Dario De Angelis, Giovanni De Ninno, Arun Ravindran, 2024, izvirni znanstveni članek Objavljeno v RUNG: 01.04.2025; Ogledov: 287; Prenosov: 3
Celotno besedilo (15,42 MB)
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