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Iskalni niz: "avtor" (Aleksandar %C5%A0imunovi%C4%87) .

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1.
Reviewing the modeling aspects and practices of shallow geothermal energy systems
Paul Christodoulides, Ana Vieira, Stanislav Lenart, João Maranha, Gregor Vidmar, Rumen Popov, Aleksandar Georgiev, Lazaros Aresti, Georgios Florides, 2020, pregledni znanstveni članek

Povzetek: Shallow geothermal energy systems (SGES) may take different forms and have recently taken considerable attention due to energy geo-structures (EGS) resulting from the integration of heat exchange elements in geotechnical structures. Still, there is a lack of systematic design guidelines of SGES. Hence, in order to contribute towards that direction, the current study aims at reviewing the available SGES modeling options along with their various aspects and practices. This is done by first presenting the main analytical and numerical models and methods related to the thermal behavior of SGES. Then, the most important supplementary factors affecting such modeling are discussed. These include: (i) the boundary conditions, in the form of temperature variation or heat flow, that majorly affect the predicted thermal behavior of SGES; (ii) the spatial dimensions that may be crucial when relaxing the infinite length assumption for short heat exchangers such as energy piles (EP); (iii) the determination of SGES parameters that may need employing specific techniques to overcome practical difficulties; (iv) a short-term vs. long-term analysis depending on the thermal storage characteristics of GHE of different sizes; (v) the influence of groundwater that can have a moderating effect on fluid temperatures in both heating and cooling modes. Subsequently, thermo-mechanical interactions modeling issues are addressed that may be crucial in EGS that exhibit a dual functioning of heat exchangers and structural elements. Finally, a quite lengthy overview of the main software tools related to thermal and thermo-hydro-mechanical analysis of SGES that may be useful for practical applications is given. A unified software package incorporating all related features of all SGES may be a future aim.
Ključne besede: shalow geothermal energy systems, energy geo-structures, thermal analysis, thermo-hydro-mechanical, modelling, software tools
Objavljeno v DiRROS: 05.03.2024; Ogledov: 81; Prenosov: 37
.pdf Celotno besedilo (3,10 MB)
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2.
Ultrasound-guided aspiration biopsy of subclinical regional metastases of head and neck carcinoma
Alenka Višnar-Perovič, Aleksandar Aničin, Živa Zupančič, Bojana Černelč, Alojz Šmid, Dubravka Vidmar, Milan Gorenc, 2000, izvirni znanstveni članek

Povzetek: Background. Studies concerned with the estimation of ultrasound (US) combined with ultrasound-guided aspiration biopsy (USGAB) in the detection of subclinical regional metastases from the planocellular carcinoma of head and neck are promising, but in few cases. Recently, the authors have pointed out the role of lymph node size parameters in order to decide about the use of USGAB. The aim of this study was to test the reliability of US-USGAB for the detection of subclinical regional metastases in patients with planocellular head and neck carcinomas, including the evaluation of lymph node size parameters. Patients and methods. 121 neck sides with no palpable metastases were examined by US in 77 patients with planocellular carcinomas of head and neck. Depending on the results obtained, USGAB was performed on 64 neck sides.After surgery, the results of US-USGAB were compared with histological findings of the dissected lymph nodes. Results. The study showed 77% overall sensitivity of US and USGAB, and 100% specificity, while the versal / longiyudinal diameter was the best predictor of metastatic lymph node involvement. Conclusion. The results of this study established that USGAB is an appropriate method for detection the subclinical regional metastases on neck, and should be included into routine diagnostic work up in the evaluationof the extent of head and necks carcinomas.
Objavljeno v DiRROS: 24.01.2024; Ogledov: 140; Prenosov: 32
.pdf Celotno besedilo (415,17 KB)

3.
Recent progress in the development of advanced support materials for electrocatalysis
Milutin Smiljanić, Irina Srejić, Jelena P. Georgijević, Aleksandar Maksić, Marjan Bele, Nejc Hodnik, 2023, pregledni znanstveni članek

Objavljeno v DiRROS: 18.12.2023; Ogledov: 138; Prenosov: 76
.pdf Celotno besedilo (1,34 MB)
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4.
Neuromuscular assessment of force development, postural, and gait performance under cognitive-motor dual-tasking in healthy older adults and early Parkinson's disease patients : study protocol for a cross-sectional Mobile Brain/Body Imaging (MoBI) study
Uroš Marušič, Manca Peskar, Maja Maša Šömen, Miloš Kalc, Aleš Holobar, Klaus Gramann, Bettina Wollesen, Anna Wunderlich, Christoph M. Michel, Aleksandar Miladinović, Mauro Catalan, Alex B. Stella, Miloš Ajčević, Paolo Manganotti, 2023, izvirni znanstveni članek

Povzetek: Background: Neuromuscular dysfunction is common in older adults and more pronounced in neurodegenerative diseases. In Parkinson's disease (PD), a complex set of factors often prevents the effective performance of activities of daily living that require intact and simultaneous performance of the motor and cognitive tasks. Methods: The cross-sectional study includes a multifactorial mixed-measure design. Between-subject factor grouping the sample will be Parkinson’s Disease (early PD vs. healthy). The within-subject factors will be the task complexity (single- vs. dual-task) in each motor activity, i.e., overground walking, semi-tandem stance, and isometric knee extension, and a walking condition (wide vs. narrow lane) will be implemented for the overground walking activity only. To study dual-task (DT) effects, in each motor activity participants will be given a secondary cognitive task, i.e., a visual discrimination task for the overground walking, an attention task for the semi-tandem, and mental arithmetic for the isometric extension. Analyses of DT effects and underlying neuronal correlates will focus on both gait and cognitive performance where applicable. Based on an a priori sample size calculation, a total N = 42 older adults (55-75 years) will be recruited. Disease-specific changes such as laterality in motor unit behavior and cortical control of movement will be studied with high-density surface electromyography and electroencephalography during static and dynamic motor activities, together with whole-body kinematics. Discussion: This study will be one of the first to holistically address early PD neurophysiological and neuromuscular patterns in an ecologically valid environment under cognitive-motor DT conditions of different complexities. The outcomes of the study aim to identify the biomarker for early PD either at the electrophysiological, muscular or kinematic level or in the communication between these systems.
Ključne besede: Parkinson's disease, mobile brain imaging, body brain imaging, MoBi, dual tasking, neuromuscular function, older adults
Objavljeno v DiRROS: 15.09.2023; Ogledov: 328; Prenosov: 138
.pdf Celotno besedilo (1,36 MB)
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5.
Stroop in motion : neurodynamic modulation underlying interference control while sitting, standing, and walking
Manca Peskar, Nina Omejc, Maja Maša Šömen, Aleksandar Miladinović, Klaus Gramann, Uroš Marušič, 2023, izvirni znanstveni članek

Povzetek: There is conflicting evidence about how interference control in healthy adults is affected by walking as compared to standing or sitting. Although the Stroop paradigm is one of the best-studied paradigms to investigate interference control, the neurodynamics associated with the Stroop task during walking have never been studied. We investigated three Stroop tasks using variants with increasing interference levels – word-reading, ink-naming, and the switching of the two tasks, combined in a systematic dual-tasking fashion with three motor conditions – sitting, standing, and treadmill walking. Neurodynamics underlying interference control were recorded using the electroencephalogram. Worsened performance was observed for the incongruent compared to congruent trials and for the switching Stroop compared to the other two variants. The early frontocentral event-related potentials (ERPs) associated with executive functions (P2, N2) differentially signaled posture-related workloads, while the later stages of information processing indexed faster interference suppression and response selection in walking compared to static conditions. The early P2 and N2 components as well as frontocentral Theta and parietal Alpha power were sensitive to increasing workloads on the motor and cognitive systems. The distinction between the type of load (motor and cognitive) became evident only in the later posterior ERP components in which the amplitude non-uniformly reflected the relative attentional demand of a task. Our data suggest that walking might facilitate selective attention and interference control in healthy adults. Existing interpretations of ERP components recorded in stationary settings should be considered with care as they might not be directly transferable to mobile settings.
Ključne besede: Stroop task, mobile brain imaging, mobile body imaging, event-related potential, dual tasking
Objavljeno v DiRROS: 29.03.2023; Ogledov: 382; Prenosov: 236
.pdf Celotno besedilo (5,29 MB)
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On the influence of aging on classification performance in the visual EEG oddball paradigm using statistical and temporal features
Nina Omejc, Manca Peskar, Aleksandar Miladinović, Voyko Kavcic, Sašo Džeroski, Uroš Marušič, 2023, izvirni znanstveni članek

Povzetek: The utilization of a non-invasive electroencephalogram (EEG) as an input sensor is a common approach in the field of the brain–computer interfaces (BCI). However, the collected EEG data pose many challenges, one of which may be the age-related variability of event-related potentials (ERPs), which are often used as primary EEG BCI signal features. To assess the potential effects of aging, a sample of 27 young and 43 older healthy individuals participated in a visual oddball study, in which they passively viewed frequent stimuli among randomly occurring rare stimuli while being recorded with a 32-channel EEG set. Two types of EEG datasets were created to train the classifiers, one consisting of amplitude and spectral features in time and another with extracted time-independent statistical ERP features. Among the nine classifiers tested, linear classifiers performed best. Furthermore, we show that classification performance differs between dataset types. When temporal features were used, maximum individuals’ performance scores were higher, had lower variance, and were less affected overall by within-class differences such as age. Finally, we found that the effect of aging on classification performance depends on the classifier and its internal feature ranking. Accordingly, performance will differ if the model favors features with large within-class differences. With this in mind, care must be taken in feature extraction and selection to find the correct features and consequently avoid potential age-related performance degradation in practice.
Ključne besede: aging, elderly, machine learning, visual oddball study, brain-computer interface
Objavljeno v DiRROS: 01.02.2023; Ogledov: 378; Prenosov: 202
.pdf Celotno besedilo (3,50 MB)
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8.
A data-driven machine learning approach for brain-computer interfaces targeting lower limb neuroprosthetics
Arnau Dillen, Elke Lathouwers, Aleksandar Miladinović, Uroš Marušič, Fakhreddine Ghaffari, Olivier Romain, Romain Meeusen, Kevin De Pauw, 2022, izvirni znanstveni članek

Povzetek: Prosthetic devices that replace a lost limb have become increasingly performant in recent years. Recent advances in both software and hardware allow for the decoding of electroencephalogram (EEG) signals to improve the control of active prostheses with brain-computer interfaces (BCI). Most BCI research is focused on the upper body. Although BCI research for the lower extremities has increased in recent years, there are still gaps in our knowledge of the neural patterns associated with lower limb movement. Therefore, the main objective of this study is to show the feasibility of decoding lower limb movements from EEG data recordings. The second aim is to investigate whether well-known neuroplastic adaptations in individuals with an amputation have an influence on decoding performance. To address this, we collected data from multiple individuals with lower limb amputation and a matched able-bodied control group. Using these data, we trained and evaluated common BCI methods that have already been proven effective for upper limb BCI. With an average test decoding accuracy of 84% for both groups, our results show that it is possible to discriminate different lower extremity movements using EEG data with good accuracy. There are no significant differences (p = 0.99) in the decoding performance of these movements between healthy subjects and subjects with lower extremity amputation. These results show the feasibility of using BCI for lower limb prosthesis control and indicate that decoding performance is not influenced by neuroplasticity-induced differences between the two groups.
Ključne besede: neuroprosthetics, brain-computer interface, machine learning, electroencephalography, data-driven learning, lower limb amputation
Objavljeno v DiRROS: 21.07.2022; Ogledov: 517; Prenosov: 361
.pdf Celotno besedilo (858,15 KB)
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9.
Priporočila za zobozdravstveno obravnavo odraslih bolnikov z rakom glave in vratu v Sloveniji, zdravljenih z obsevanjem
Aleš Fidler, Aleksandar Aničin, Vojislav Didanovič, Tadej Dovšak, Boris Gašpirc, Aleš Grošelj, Andrej Kansky, Matic Koren, Jana Krapež, Hojka Kuralt, Marko Kuralt, Boštjan Lanišnik, Romana Mance Kristan, Jošt Pavčič, Luka Prodnik, Peter Pukl, Tadej Ostrc, Milan Kuhar, Eva Skalerič, Robert Šifrer, Valerija Skopec, Primož Strojan, 2022, izvirni znanstveni članek

Povzetek: Priporočila za zobozdravstveno obravnavo bolnikov z rakom glave in vratu (RGV) v Sloveniji, zdravljenih z obsevanjem sledijo priporočilom The Royal College of Surgeons of England v sodelovanju z The British Society for Disability and Oral Health, dopolnjujejo Priporočila za obravnavo bolnikov z rakom glave in vratu v Sloveniji in hkrati upoštevajo obstoječe zmožnosti slovenskega zdravstvenega sistema. Namen priporočil je prepre-čevanje oz. zmanjšanje zapletov v ustni votlini, ki nastanejo zaradi obsevanja. Opredeljujejo način zobozdravstvene oskrbe pred, med in po zdravljenju raka na vseh treh nivojih zobozdra-vstvene oskrbe, kar zagotavlja njeno pravočasnost in dostopnost. Priporočila predstavljajo poenoteno mnenje vseh deležnikov na področju zobozdravstvene obravnave bolnikov z RGV v državi.
Ključne besede: onkologija, zobozdravstvena obravnava, obsevanje, ustna votlina, priporočila
Objavljeno v DiRROS: 14.07.2022; Ogledov: 556; Prenosov: 189
.pdf Celotno besedilo (1,45 MB)

10.
Klinična pot presejanja oseb z visoko ogroženostjo za razvoj raka trebušne slinavke
Barbara Perić, Ana Blatnik, Aleš Tomažič, Aleksandar Gavrić, Borut Štabuc, Srdjan Novaković, Mateja Krajc, 2021, slovar, enciklopedija, leksikon, priročnik, atlas, zemljevid

Ključne besede: rak trebušne slinavke, bolniki, klinične poti
Objavljeno v DiRROS: 14.02.2022; Ogledov: 772; Prenosov: 326
.pdf Celotno besedilo (868,10 KB)
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