181. Die moderne BarbareiDamir Barbarić, 2023, pregledni znanstveni članek Povzetek: The Modern Barbarianism
In his work, Eugen Fink often confronted the profound problematicity of the contemporary epoch and attempted to illuminate its enigmatic traits in a productive, future-oriented manner. Despite a philosophical fascination with Nietzsche and Heidegger, he apparently did not want to share and radically appropriate for himself their views regarding “the European nihilism.” With a reading of the writings collected in the book Zur Krisenlage des modernen Menschen (On the Crisis Situation of Modern Man), the paper seeks to demonstrate that Fink’s contemplations upon the matter compellingly reveal the obscure sense and nonsense of the actual state of contemporaneity, although they predominantly devote attention solely to its phenomenality. To a certain degree, such an attempt needs to take into account also the philosopher’s speculative thoughts concerning nothingness and death.
Ključne besede: Eugen Fink, barbarianism, modernity, nihilism, freedom
Objavljeno v DiRROS: 23.10.2024; Ogledov: 52; Prenosov: 14
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182. Sustainability assessment of brown trout populations in Serbia (Central Balkans) using the modified ESHIPPO modelTijana Veličković, Saša Marić, David Stanković, Aleksandra Milošković, Milena Radenković, Radek Šanda, Jasna Vukić, Simona Đuretanović, 2024, izvirni znanstveni članek Povzetek: In the inland waters of the Balkans, many brown trout populations have been severely depleted. Therefore, identifying potential threats to their continued survival and ranking populations based on their biological and evolutionary importance enables setting conservation priorities. To assess the sustainability of the brown trout populations in the territory of Serbia (central Balkans), a modification of the ESHIPPO model was performed. The main modification involves incorporating the investigated populations’ genetic structure into the model. Therefore, the new ESHIPPOsalmo model includes an analysis of biological parameters and the impact of multiple factors, including habitat alterations, invasive species, pollution, human population growth, and over-exploitation. In order to investigate individual levels of influence of the model’s analyzed parameters, a combination of supervised and unsupervised machine learning methods was used. The structure of the model is based on general and easily measurable indicators, which enables its application in any salmonid river in the world. By evaluating the parameters of the ESHIPPOsalmo model, we were able to establish that, of the analyzed populations from 46 localities, 37% have a moderate level of sustainability, 43% low, and 20% critically low.
Ključne besede: brown trout, conservation, genetic structure, habitat alterations, invasive species, sustainability
Objavljeno v DiRROS: 23.10.2024; Ogledov: 78; Prenosov: 41
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183. First report of Colletotrichum incanum causing leaf spots on common bean in Europe (Slovenia)Hans-Josef Schroers, Janja Zajc, Barbara Pipan, Vladimir Meglič, Eva Kovačec, Metka Žerjav, 2024, drugi znanstveni članki Ključne besede: leaf spots, Serbia, pathogen detection, common bean, phatoggenecity
Objavljeno v DiRROS: 23.10.2024; Ogledov: 58; Prenosov: 21
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184. Optimizing real-time MI-BCI performance in post-stroke patients : impact of time window duration on classification accuracy and responsivenessAleksandar Miladinović, Agostino Accardo, Joanna Jarmolowska, Uroš Marušič, Miloš Ajčević, 2024, izvirni znanstveni članek Povzetek: Brain–computer interfaces (BCIs) are promising tools for motor neurorehabilitation. Achieving a balance between classification accuracy and system responsiveness is crucial for real-time applications. This study aimed to assess how the duration of time windows affects performance, specifically classification accuracy and the false positive rate, to optimize the temporal parameters of MI-BCI systems. We investigated the impact of time window duration on classification accuracy and false positive rate, employing Linear Discriminant Analysis (LDA), Multilayer Perceptron (MLP), and Support Vector Machine (SVM) on data acquired from six post-stroke patients and on the external BCI IVa dataset. EEG signals were recorded and processed using the Common Spatial Patterns (CSP) algorithm for feature extraction. Our results indicate that longer time windows generally enhance classification accuracy and reduce false positives across all classifiers, with LDA performing the best. However, to maintain the real-time responsiveness, crucial for practical applications, a balance must be struck. The results suggest an optimal time window of 1–2 s, offering a trade-off between classification performance and excessive delay to guarantee the system responsiveness. These findings underscore the importance of temporal optimization in MI-BCI systems to improve usability in real rehabilitation scenarios.
Ključne besede: BCI, EEG, classification, motor imagery
Objavljeno v DiRROS: 23.10.2024; Ogledov: 65; Prenosov: 48
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187. First Report of Globisporangium (Pythium) mastophorum causing Damping-off / Root Rot on Parsley in SloveniaJanja Zajc, Eva Kovačec, Urša Prislan, Aleksandra Podboj Ronta, Metka Žerjav, Hans-Josef Schroers, 2024, drugi znanstveni članki Ključne besede: damping-off / Root Rot, parsley, pathogen detection, common bean, phatoggenecity
Objavljeno v DiRROS: 23.10.2024; Ogledov: 53; Prenosov: 17
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190. Poročilo o preskusu št.: LVG 2024-157 : vzorec št. 2024/00650Nikica Ogris, Patricija Podkrajšek, Zina Devetak, Špela Hočevar, Barbara Piškur, 2024, izvedensko mnenje, arbitražna odločba Ključne besede: varstvo gozdov, morfološke analize, Pseudocercospora pini-densiflorae, rdeči bor, bolezen iglic
Objavljeno v DiRROS: 23.10.2024; Ogledov: 47; Prenosov: 0
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