1. A case study on the design and implementation of a platform for hand rehabilitationTomaž Kosar, Lu Zhenli, Marjan Mernik, Marjan Horvat, Matej Črepinšek, 2021, izvirni znanstveni članek Opis: Rehabilitation aids help people with temporal or permanent disabilities during the
rehabilitation process. However, these solutions are usually expensive and, consequently, inaccessible
outside of professional medical institutions. Rapid advances in software development, Internet of
Things (IoT), robotics, and additive manufacturing open up a way to affordable rehabilitation
solutions, even to the general population. Imagine a rehabilitation aid constructed from accessible
software and hardware with local production. Many obstacles exist to using such technology, starting
with the development of unified software for custom-made devices. In this paper, we address
open issues in designing rehabilitation aids by proposing an extensive rehabilitation platform. To
demonstrate our concept, we developed a unique platform, RehabHand. The main idea is to use
domain-specific language and code generation techniques to enable loosely coupled software and
hardware solutions. The main advantage of such separation is support for modular and a higher
abstraction level by enabling therapists to write rehabilitation exercises in natural, domain-specific
terminology and share them with patients. The same platform provides a hardware-independent
part that facilitates the integration of new rehabilitation devices. Experience in implementing
RehabHand with three different rehabilitation devices confirms that such rehabilitation technology
can be developed, and shows that implementing a hardware-independent rehabilitation platform
might not be as challenging as expected.
Ključne besede: movement observation, rehabilitation aid, assistive technology, robot-assisted rehabilitation, additive manufacturing, local production, human-computer interaction, code generation, domain-specific languages
Objavljeno v DKUM: 16.06.2025; Ogledov: 0; Prenosov: 0
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2. Sensors and artificial intelligence methods and algorithms for human - computer intelligent interaction: a systematic mapping studyBoštjan Šumak, Saša Brdnik, Maja Pušnik, 2022, izvirni znanstveni članek Opis: To equip computers with human communication skills and to enable natural interaction
between the computer and a human, intelligent solutions are required based on artificial intelligence
(AI) methods, algorithms, and sensor technology. This study aimed at identifying and analyzing
the state-of-the-art AI methods and algorithms and sensors technology in existing human–computer
intelligent interaction (HCII) research to explore trends in HCII research, categorize existing evidence,
and identify potential directions for future research. We conduct a systematic mapping study of the
HCII body of research. Four hundred fifty-four studies published in various journals and conferences
between 2010 and 2021 were identified and analyzed. Studies in the HCII and IUI fields have
primarily been focused on intelligent recognition of emotion, gestures, and facial expressions using
sensors technology, such as the camera, EEG, Kinect, wearable sensors, eye tracker, gyroscope, and
others. Researchers most often apply deep-learning and instance-based AI methods and algorithms.
The support sector machine (SVM) is the most widely used algorithm for various kinds of recognition,
primarily an emotion, facial expression, and gesture. The convolutional neural network (CNN)
is the often-used deep-learning algorithm for emotion recognition, facial recognition, and gesture
recognition solutions.
Ključne besede: human–computer intelligent interaction, intelligent user interfaces, IUI, sensors, artificial intelligence
Objavljeno v DKUM: 31.03.2025; Ogledov: 0; Prenosov: 4
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3. Influence of highly inflected word forms and acoustic background on the robustness of automatic speech recognition for human–computer interactionAndrej Žgank, 2022, izvirni znanstveni članek Opis: Automatic speech recognition is essential for establishing natural communication with
a human–computer interface. Speech recognition accuracy strongly depends on the complexity of
language. Highly inflected word forms are a type of unit present in some languages. The acoustic
background presents an additional important degradation factor influencing speech recognition
accuracy. While the acoustic background has been studied extensively, the highly inflected word
forms and their combined influence still present a major research challenge. Thus, a novel type of
analysis is proposed, where a dedicated speech database comprised solely of highly inflected word
forms is constructed and used for tests. Dedicated test sets with various acoustic backgrounds were
generated and evaluated with the Slovenian UMB BN speech recognition system. The baseline word
accuracy of 93.88% and 98.53% was reduced to as low as 23.58% and 15.14% for the various acoustic
backgrounds. The analysis shows that the word accuracy degradation depends on and changes
with the acoustic background type and level. The highly inflected word forms’ test sets without
background decreased word accuracy from 93.3% to only 63.3% in the worst case. The impact of
highly inflected word forms on speech recognition accuracy was reduced with the increased levels of
acoustic background and was, in these cases, similar to the non-highly inflected test sets. The results
indicate that alternative methods in constructing speech databases, particularly for low-resourced
Slovenian language, could be beneficial.
Ključne besede: human–computer interaction, automatic speech recognition, acoustic modeling, highly inflected word forms, acoustic background
Objavljeno v DKUM: 28.03.2025; Ogledov: 0; Prenosov: 2
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4. Heteroatom-synergistic effect on anchoring polysulfides In chalcone-linked nanographene covalent organic frameworks for high-performance Li─S batteriesKayaramkodath C. Ranjeesh, Bharathkumar H. Javaregowda, Safa Gaber, Preeti Bhauriyal, Sushil Kumar, Tina Škorjanc, Matjaž Finšgar, Thomas Heine, Kothandam Krishnamoorthy, Dinesh Shetty, 2025, izvirni znanstveni članek Opis: Lithium-sulfur (Li─S) batteries are an attractive option for future energy storage devices because they offer higher theoretical specific capacity, energy density, and cost-effectiveness than commercial lithium-ion batteries. However, the practical applications of Li─S batteries are significantly limited by the shuttle effect caused by intermediate lithium polysulfides (LiPSs) and slow redox kinetics. In this study, the molecular engineering of chalcone-linked, sp2-bonded nanographene-type covalent organic frameworks (COFs) as sulfur hosts is reported to enhance interactions with LiPSs, thereby effectively suppressing the shuttle effect. The developed sulfur-hosting cathode material demonstrated outstanding battery performance, surpassing most reported materials by achieving a specific capacity of 1228 mA h g−1 at 0.5C, with 80% retention after 500 cycles and an average Coulombic Efficiency (C.E.) of 99%. Additionally, the mechanisms of sulfur immobilization, the subsequent conversion into lithium polysulfides (LiPSs), and their binding energies with COFs are investigated using density functional theory (DFT) calculations. These findings offer valuable insights into the structure-property relationships essential for developing more efficient sulfur-hosting cathodes.
Ključne besede: covalent organic frameworks, lithium-sulfur battery, nanographene, anion-pi interaction, polysulfide shuttle
Objavljeno v DKUM: 17.03.2025; Ogledov: 0; Prenosov: 1
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5. Computational analysis of S1PR1 SNPs reveals drug binding modes relevant to multiple sclerosis treatmentKatarina Kores, Samo Lešnik, Urban Bren, 2024, izvirni znanstveni članek Ključne besede: molecular dynamics simulations, personalized therapy, single nucleotide polymorphisms, SNPs, linear interaction energy, LIE, multiple sclerosis, MS
Objavljeno v DKUM: 03.02.2025; Ogledov: 0; Prenosov: 3
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6. Kratek pregled platform za ADME testiranjeTina Maver, Boštjan Vihar, Uroš Maver, 2024, izvirni znanstveni članek Opis: V zadnjem času je bil dosežen pomemben napredek pri razvoju ADME (absorpcija, distribucija, metabolizem, ekskrecija) modelov, vendar izziv ostaja vzpostaviti platforme, ki bi zmanjšale testiranje na živalih in stroške raziskav. Naraščajoča pomembnost farmakokinetičnih interakcij poudarja potrebo po zanesljivih in
ponovljivih ADME modelih, ki so vse bolj ključni za razvoj zdravil in zagotavljanje varnosti z željo po preprečevanju
resnih kliničnih zapletov in hospitalizacije.
Ključne besede: ADME, drug interaction studies, in vitro models, pharmacokinetics, multi-organ models
Objavljeno v DKUM: 07.01.2025; Ogledov: 0; Prenosov: 22
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7. Mechanisms of post-pancreatitis diabetes mellitus and cystic fibrosis-related diabetes: a review of preclinical studiesEleonóra Gál, Jurij Dolenšek, Andraž Stožer, László Czakó, Attila Ébert, Viktória Venglovecz, 2021, pregledni znanstveni članek Opis: Anatomical proximity and functional correlations between the exocrine and endocrine pancreas warrant reciprocal effects between the two parts. Inflammatory diseases of the exocrine pancreas, such as acute or chronic pancreatitis, or the presence of cystic fibrosis disrupt endocrine function, resulting in diabetes of the exocrine pancreas. Although novel mechanisms are being increasingly identified, the intra- and intercellular pathways regulating exocrine-endocrine interactions are still not fully understood, making the development of new and more effective therapies difficult. Therefore, this review sought to accumulate current knowledge regarding the pathogenesis of diabetes in acute and chronic pancreatitis, as well as cystic fibrosis.
Ključne besede: diabetes of the exocrine pancreas, acute pancreatitis, chronic pancreatitis, cystic fibrosis, interaction
Objavljeno v DKUM: 14.08.2024; Ogledov: 65; Prenosov: 6
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8. Analysis and evaluation of user experience in mobile applications with modern interaction methods : magistrsko deloKatja Frančič, 2024, magistrsko delo Opis: Mobile devices, seamlessly weaving artificial intelligence into their applications, have become indispensable for millions of people in their daily lives. In our master’s thesis, we explored methods for evaluating user experience, focusing on those suitable for modern mobile applications. In the applied phase, participants evaluated three mobile apps using distinct questionnaires. This affirmed the positive correlation between user interface simplicity and enhanced UX, alongside modern interaction methods fostering increased user loyalty. Our findings confirm that post-task questionnaires offer deeper insights into UX, with users showing a preference for completing them. While gender may influence user experience, it's not the sole determinant.
Ključne besede: user experience, mobile application, modern interaction methods
Objavljeno v DKUM: 01.07.2024; Ogledov: 159; Prenosov: 76
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9. Mechanistic insights of polyphenolic compounds from rosemary bound to their protein targets obtained by molecular dynamics simulations and free-energy calculationsSamo Lešnik, Marko Jukič, Urban Bren, 2023, izvirni znanstveni članek Ključne besede: rosemary, carnosic acid, carnosol, rosmanol, rosmarinic acid, polyphenols, molecular docking, molecular dynamics simulations, linear interaction energy calculations, water-mediated hydrogen-bonds, HIV-1 protease, K-RAS protein, factor X
Objavljeno v DKUM: 22.04.2024; Ogledov: 185; Prenosov: 26
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10. Learning Chinese as a foreign language : an introductionJuliane House, Dániel Z. Kádár, 2023, drugi znanstveni članki Opis: In this introductory paper, we first present the background of the present special issue dedicated to Willis Edmondson. We first point out why Edmondson provided a ground-breaking contribution to the field of applied linguistics and why it is particularly timely to edit a special issue centering on his framework. We also argue that Edmondson's bottom-up and strictly language-anchored view on speech acts and interaction is particularly useful to examine the learning of Chinese as a foreign language, by going beyond exoticizing and overgeneralizing views of the Chinese linguaculture. Second, we briefly present what can be regarded as the heart and soul of the Edmondsonian framework, that is, a typology of speech acts and a related procedure through which the relationship between speech acts in interaction can be captured. Third, we present a research procedure that we outlined in our previous work, and which helps implementing the Edmondsonian model in the pragmatic study of foreign language learning. Finally, we present the contents of the special issue.
Ključne besede: Chinese, interaction, speech acts, second language pragmatics
Objavljeno v DKUM: 21.02.2024; Ogledov: 341; Prenosov: 35
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