1. Creative alienation in art due to artificial intelligenceMahmut Özer, Matjaž Perc, 2025, pregledni znanstveni članek Opis: Artificial intelligence is rapidly transforming operations across diverse sectors, including education, healthcare, the arts, economics, pharmaceuticals, and defense. In particular, generative AI has begun to reshape content-driven fields such as text generation, graphic and video production, and cross-lingual translation. Its growing role in artistic domains is especially noteworthy. However, as AI becomes more integrated into creative processes, a range of challenges has emerged. These include concerns about data privacy, biased or inaccurate content, hallucinated outputs, and disruptions to employment. At the same time, efforts to address these issues are underway. Research has also shown that AI tools, while reducing cognitive load, may diminish active engagement in learning. This disengagement can lead to shallow learning, distorted memory formation, and weakened critical thinking. Against this backdrop, the present study explores the issue of alienation that arises in the relationship between the artist and their work as AI becomes a creative agent. It also examines the connection between this alienation and the artist’s cognitive and neural engagement during the creative process.
Ključne besede: art, alienation, cognitive load, labor, brain activity, social physics
Objavljeno v DKUM: 21.10.2025; Ogledov: 0; Prenosov: 6
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2. Dynamics of parkinsonian oscillations mediated by transmission delays in a mean-field model of the basal gangliaAtefeh Asadi, Mojtaba Madadi Asl, Alireza Valizadeh, Matjaž Perc, 2024, izvirni znanstveni članek Ključne besede: parkinsonian oscillations, transmission delays, mathematical model, basal ganglia, neuronal dynamics
Objavljeno v DKUM: 08.10.2025; Ogledov: 0; Prenosov: 2
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3. Stroškovna primerjava gravitacijske in tlačne kanalizacije v občini Sveti Jurij ob ŠčavniciLuka Kasalo, 2025, diplomsko delo Opis: V diplomskem delu smo primerjali stroške gravitacijskega in tlačnega kanalizacijskega sistema
v občini Sveti Jurij ob Ščavnici. Analizo smo izvedli na podlagi dejanskih projektnih podatkov,
predračunov in tržnih cen za material, delo ter stroške obratovanja in vzdrževanja. Rezultati
kažejo, da so skupni investicijski ter obratovalni in vzdrževalni stroški pri tlačni kanalizaciji višji
predvsem zaradi črpališča in električne energije, čeprav so stroški cevovodov in dela nekoliko
nižji. Gravitacijska kanalizacija se izkaže kot dolgoročno ugodnejša rešitev na območjih z
ustreznim reliefom, saj ima nižje stroške obratovanja in vzdrževanja. Ugotovili smo, da je za
območja z večjimi višinskimi razlikami uporaba tlačne kanalizacije smiselna, a je kombinacija
obeh sistemov optimalna za trajnostno in ekonomsko učinkovito komunalno infrastrukturo v
občini Sveti Jurij ob Ščavnici.
Ključne besede: kanalizacija, stroški, primerjava, gravitacijski sistem, tlačni sistem
Objavljeno v DKUM: 24.09.2025; Ogledov: 0; Prenosov: 0
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4. Izvedba komunalne in meteorne kanalizacije v območju BrdaNezir Alić, 2025, diplomsko delo Opis: V diplomskem delu je predstavljena zasnova in izvedba ločenega kanalizacijskega sistema za naselje Brda, ki vključuje gradnjo komunalne in meteorne kanalizacije. Namen projekta je odprava pomanjkljivosti obstoječega neurejenega stanja, kjer komunalne odpadne vode še vedno odtekajo v greznice, meteorna voda pa se odvaja površinsko ali neposredno v teren. Nova komunalna kanalizacija bo priključena na obstoječi kanalizacijski sistem, povezan s Centralno čistilno napravo Koper, kar bo omogočilo ukinitev greznic in zagotovilo varno ter okolju prijazno odvajanje odpadnih voda.
Meteorna kanalizacija bo prevzemala odvodnjavanje streh objektov in odvajala padavinsko vodo neposredno v vodotok Vrgalovec, s čimer se zmanjšuje možnost zastajanja vode in poškodb površin. Analiza je pokazala, da trenutna rešitev ne vključuje cestnih površin, zato se kot izboljšava predlaga razširitev sistema na te odseke, kar bi še dodatno zmanjšalo vplive večjih padavinskih dogodkov. Predlagani sistem bo pomembno prispeval k izboljšanju komunalne infrastrukture, kakovosti bivanja in prostorskemu razvoju območja Brda.
Ključne besede: kanalizacijski sistem, komunalna kanalizacija, meteorna kanalizacija, hidravlična analiza, odvajanje odpadnih voda.
Objavljeno v DKUM: 24.09.2025; Ogledov: 0; Prenosov: 0
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5. Hidrološko–hidravlična študija območja na Zgornjem Jezerskem s programoma QGIS in HEC-RASAljaž Kumberger, 2025, magistrsko delo Opis: V zaključnem delu je obravnavana hidrološko-hidravlična analiza območja Zgornjega Jezerskega z uporabo odprtokodnih programov QGIS in HEC-RAS. Namen naloge je oceniti poplavno ogroženost izbranega območja na podlagi različnih povratnih dob (Q10, Q100, Q500) ter izdelati karte poplavne nevarnosti. Uporabljen je bil 2D model, pri čemer je bil teren modeliran na osnovi LiDAR podatkov in geodetskega posnetka. V okviru raziskave smo najprej zbrali literaturo s področja hidrologije in hidravlike ter podrobno predstavili programska orodja. Nato smo izdelali digitalni model reliefa in izvedli simulacije. Pridobljeni rezultati omogočajo boljše prostorsko načrtovanje in obvladovanje poplavne ogroženosti v obravnavanem območju. Zaključno delo tako predstavlja pomemben prispevek k uporabi odprtokodnih orodij v inženirski praksi.
Ključne besede: hidrologija, hidravlična analiza, HEC-RAS, GIS, modeliranje
Objavljeno v DKUM: 24.09.2025; Ogledov: 0; Prenosov: 15
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6. Artificial intelligence threatens critical thinking in education systemsMahmut Özer, Hande Tanberkan, Matjaž Perc, 2025, pregledni znanstveni članek Opis: We examine how the increasing use of artificial intelligence (AI) in education-through tools that generate and summarize text, translate languages, and produce visual content-impacts students' critical thinking. While these technologies enhance personalized learning, broaden assessment strategies, and support data-driven policy decisions, we argue that their integration into the learning process carries unintended cognitive consequences. Specifically, we show that when students offload key tasks to AI systems, their cognitive load decreases in ways that weaken memory retention and reduce active engagement with content. This shift fosters a pattern of overreliance, as students increasingly depend on AI to perform intellectual tasks in their place. As a result, their ability to think critically, question information, and evaluate sources diminishes over time. We highlight this emerging dependency as a medium- to long-term threat to critical thinking and call for a more careful evaluation of how generative AI is used in education-not only in terms of its benefits, but also its influence on core cognitive processes. Finally, we propose targeted strategies to mitigate these effects and preserve students' critical capacities in AI-rich learning environments.
Ključne besede: artificial intelligence, education system, critical thinking, cognitive load, memory
Objavljeno v DKUM: 09.09.2025; Ogledov: 0; Prenosov: 7
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8. Lag synchronization in an unidirectional ring of memristive neuronsVijeesh Vijayan, Hayder Natiq, Shaher Momani, Viet-Thanh Pham, Matjaž Perc, 2025, izvirni znanstveni članek Opis: In recent years, the study of neuronal models has provided significant insights into brain dynamics and neurological disorders. Map-based neuronal models, such as the Rulkov map, have gained considerable popularity due to their computational efficiency and ability to replicate complex neuronal dynamics. We thus here study the collective dynamics of an unidirectional ring network composed of three memristive Rulkov maps, with particular emphasis on synchronization patterns and their dependence on coupling types. By employing electrical and memristive/field couplings, we analyze the emergence of complete synchronization, lag synchronization, and phase synchronization under varying coupling strengths. Our f indings highlight how diffusive-based synaptic pathways modulate synchronization and collective behavior in the network. The presented results also offer new perspectives on the role of coupling functions in shaping neuronal synchronization, and they reveal their deeper implications for understanding pathological brain states and for designing neuromorphic systems.
Ključne besede: simplicial complex, higher-order network, memristive Rulkov, synchronization, cluster synchronization
Objavljeno v DKUM: 25.07.2025; Ogledov: 0; Prenosov: 2
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9. Complementary use of artificial intelligence in healthcareSevil Uygun Ili̇khan, Mahmut Özer, Matjaž Perc, Hande Tanberkan, Yavuz Ayhan, 2025, pregledni znanstveni članek Opis: Artificial intelligence (AI) is set to greatly impact and transform workflows and employment in medicine and healthcare. This study explores how AI can enhance job roles in the healthcare sector and improve the quality and efficiency of services. A two-stage approach is proposed. In the first stage, doctors and healthcare workers are involved in developing AI systems. Their participation ensures ethical use, boosts efficiency, and prevents biases from the data or algorithms. In the second stage, continuous monitoring of AI systems by healthcare profession als is crucial. They act as filters for AI-generated results during decision-making processes. This ongoing oversight helps maintain accuracy and reliability. This two-stage approach highlights the importance of doctor-machine interaction. By integrating AI with human expertise, healthcare services can see significant improvements in quality while minimizing potential risks from AI technologies.
Ključne besede: data bias, human complementation, social physics
Objavljeno v DKUM: 22.07.2025; Ogledov: 0; Prenosov: 8
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10. Classification of finger movements through optimal EEG channel and feature selectionMurside Degirmenci, Yilmaz Kemal Yuce, Matjaž Perc, Yalcin Isler, 2025, izvirni znanstveni članek Ključne besede: classification, finger movements, EEG, feature selection, applied physics
Objavljeno v DKUM: 22.07.2025; Ogledov: 0; Prenosov: 6
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