1. Socioeconomic status and school type as predictors of academic achievementH. Eren Suna, Hande Tanberkan, Bekir S. Gür, Matjaž Perc, Mahmut Özer, 2020, original scientific article Abstract: We evaluated the effects of socioeconomic status and school type on academic achievement based on data from two million students over a 10 year period through three national transition systems in Turkey. Each of the three transition systems has its own national examination, and the data includes only students who took these exams. We used covariance analysis to compare the mean scores of public schools and private schools after controlling the effect of students' socioeconomic levels. We found that students in private schools, who were socioeconomically stronger, had significantly higher academic achievement levels in language, mathematics, and science tests, and this finding was valid across all three transition systems. These effects were further exuberated when all the students were tracked by means of a national exam and placed into different high schools. It was found that the negative impact of one's socioeconomic level on students' scores reached its maximum value when all students were placed into high schools by means of a national exam. In all systems, the mean scores of private school students decreased significantly when the socioeconomic level was controlled. Our research has important implications for school tracking policies, specifically indicating that it would be better to omit or at least delay their deployment to post high-school education. Keywords: school tracking, socioeconomic status, academic achievement, school type, transition systems Published in DKUM: 23.12.2024; Views: 0; Downloads: 2 Full text (585,31 KB) This document has many files! More... |
2. Analiza vedenja pešcev v interakciji z avtonomnimi vozili : magistrsko deloAleksija Rainer, 2024, master's thesis Abstract: V magistrskem delu smo proučevali interakcije med pešci in avtonomnimi vozili (AV) ter stališča javnosti do sprejemanja avtonomnih vozil. S pomočjo spletne ankete smo analizirali mnenja 108 udeležencev glede varnosti, zanesljivosti in sprejemljivosti AV. Rezultati so pokazali previdnost in zadržanost pri sprejemanju te tehnologije, zlasti glede varnosti ranljivih udeležencev v prometu. Poleg ankete smo izvedli tudi eksperiment sledenja pogledu, kjer smo primerjali odzive pešcev pri prečkanju prehoda pred avtonomnim in navadnim vozilom (NV). Ugotovili smo, da pešci potrebujejo več časa za odločitev o prečkanju prehoda pred avtonomnim vozilom kot pred navadnim vozilom, kar kaže na povečano previdnost in negotovost. Te ugotovitve kažejo na potrebo po izboljšanju varnostnih sistemov in komunikacije med avtonomnimi vozili in pešci. Keywords: pešci, avtonomna vozila, prometna varnost, eye-tracking, gap acceptance Published in DKUM: 14.11.2024; Views: 0; Downloads: 22 Full text (6,87 MB) |
3. A novel pseudo-rigid body approach to the non-linear dynamics of soft micro-particles in dilute viscous flowJana Wedel, Matjaž Hriberšek, Jure Ravnik, Paul Steinmann, 2024, original scientific article Abstract: We propose a novel, demonstrably effective, utmost versatile and computationally highly efficient
pseudo-rigid body approach for tracking the barycenter and shape dynamics of soft, i.e. nonlinearly deformable micro-particles dilutely suspended in viscous flow. Pseudo-rigid bodies are
characterized by affine deformation and thus represent a first-order extension to the kinematics
of rigid bodies. Soft particles in viscous flow are ubiquitous in nature and sciences, prominent
examples, among others, are cells, vesicles or bacteria. Typically, soft particles deform severely
due to the mechanical loads exerted by the fluid flow. Since the shape dynamics of a soft particle -
a terminology that shall here also include its orientation dynamics - also affects its barycenter
dynamics, the resulting particle trajectory as a consequence is markedly altered as compared to
a rigid particle. Here, we consider soft micro-particles of initially spherical shape that affinely
deform into an ellipsoidal shape. These kinematic conditions are commensurate with i) the affine
deformation assumption inherent to a pseudo-rigid body and ii) the celebrated Jeffery-Roscoe
model for the traction exerted on an ellipsoidal particle due to creeping flow conditions around
the particle. Without loss of generality, we here focus on non-linear hyperelastic particles for the
sake of demonstration. Our novel numerical approach proves to accurately capture the particular
deformation pattern of soft particles in viscous flow, such as for example tank-treading, thereby
being completely general regarding the flow conditions at the macro-scale and, as an option, the
constitutive behavior of the particle. Moreover, our computational method is highly efficient and
allows straightforward integration into established Lagrangian tracking algorithms as employed
for the point-particle approach to track rigid particles in dilute viscous flow. Keywords: soft particles, pseudo-rigid bodies, Barycenter and shape dynamics, Lagrangian particle tracking Published in DKUM: 19.09.2024; Views: 0; Downloads: 11 Full text (2,18 MB) This document has many files! More... |
4. Multilingual framework for risk assessment and symptom tracking (MRAST)Valentino Šafran, Simon Lin, Jama Nateqi, Alistair G. Martin, Urška Smrke, Umut Arioz, Nejc Plohl, Matej Rojc, Dina Běma, Marcela Chavez, Matej Horvat, Izidor Mlakar, 2024, original scientific article Abstract: The importance and value of real-world data in healthcare cannot be overstated because it offers a valuable source of insights into patient experiences. Traditional patient-reported experience and outcomes measures (PREMs/PROMs) often fall short in addressing the complexities of these experiences due to subjectivity and their inability to precisely target the questions asked. In contrast, diary recordings offer a promising solution. They can provide a comprehensive picture of psychological well-being, encompassing both psychological and physiological symptoms. This study explores how using advanced digital technologies, i.e., automatic speech recognition and natural language processing, can efficiently capture patient insights in oncology settings. We introduce the MRAST framework, a simplified way to collect, structure, and understand patient data using questionnaires and diary recordings. The framework was validated in a prospective study with 81 colorectal and 85 breast cancer survivors, of whom 37 were male and 129 were female. Overall, the patients evaluated the solution as well made; they found it easy to use and integrate into their daily routine. The majority (75.3%) of the cancer survivors participating in the study were willing to engage in health monitoring activities using digital wearable devices daily for an extended period. Throughout the study, there was a noticeable increase in the number of participants who perceived the system as having excellent usability. Despite some negative feedback, 44.44% of patients still rated the app’s usability as above satisfactory (i.e., 7.9 on 1–10 scale) and the experience with diary recording as above satisfactory (i.e., 7.0 on 1–10 scale). Overall, these findings also underscore the significance of user testing and continuous improvement in enhancing the usability and user acceptance of solutions like the MRAST framework. Overall, the automated extraction of information from diaries represents a pivotal step toward a more patient-centered approach, where healthcare decisions are based on real-world experiences and tailored to individual needs. The potential usefulness of such data is enormous, as it enables better measurement of everyday experiences and opens new avenues for patient-centered care. Keywords: multilingual framework, risk assessment, symptom tracking, chronic diseases, patient-centered care, real-world data Published in DKUM: 12.08.2024; Views: 74; Downloads: 9 Full text (5,29 MB) |
5. An overview of molecular markers for identification of non-human fecal pollution sourcesTanja Žlender, Maja Rupnik, 2023, review article Abstract: Identifying primary sources of fecal pollution is important for assessing public health risks and implementing effective remediation strategies. To date, one of the main molecular approaches for identifying sources of fecal pollution relies on detecting molecular markers within bacterial, viral, or mitochondrial nucleic acids, that are indicative of a particular host. With a primary focus on identifying fecal pollution originating from humans, the field of fecal source tracking often places less emphasis on livestock sources, frequently leaving the problem of wildlife fecal pollution unaddressed. In this review, we summarize 55 previously published and validated molecular assays and describe methods for the detection of molecular markers that are indicative of non-human hosts. They cover a range of 15 animal species/groups with a primary focus on domestic animals including cattle, pigs, dogs, and poultry. Among assays associated with wild animals, the majority are designed to detect bird feces, while the availability of assays for detecting feces of other wild animals is limited. Both domestic and wild animals can represent a zoonotic reservoir of human enteropathogens, emphasizing the importance of their role in public health. This review highlights the need to address the complexity of fecal contamination and to include a broader range of animal species into assay validation and marker identification. Keywords: fecal source tracking, microbial source tracking, fecal pollution, host-specific markers, animals Published in DKUM: 27.05.2024; Views: 165; Downloads: 16 Full text (1,67 MB) This document has many files! More... |
6. A novel particle–particle and particle–wall collision model for superellipsoidal particlesJana Wedel, Mitja Štrakl, Matjaž Hriberšek, Paul Steinmann, Jure Ravnik, 2023, original scientific article Keywords: multiphase flow, Lagrangian particle tracking, superellipsoid, collision, friction Published in DKUM: 28.03.2024; Views: 171; Downloads: 9 Full text (6,50 MB) This document has many files! More... |
7. Solar photovoltaic tracking systems for electricity generation : a reviewSebastijan Seme, Bojan Štumberger, Miralem Hadžiselimović, Klemen Sredenšek, 2020, review article Abstract: This paper presents a thorough review of state-of-the-art research and literature in the field of photovoltaic tracking systems for the production of electrical energy. A review of the literature is performed mainly for the field of solar photovoltaic tracking systems, which gives this paper the necessary foundation. Solar systems can be roughly divided into three fields: the generation of thermal energy (solar collectors), the generation of electrical energy (photovoltaic systems), and the generation of electrical energy/thermal energy (hybrid systems). The development of photovoltaic systems began in the mid-19th century, followed shortly by research in the field of tracking systems. With the development of tracking systems, di%erent types of tracking systems, drives, designs, and tracking strategies were also defined. This paper presents a comprehensive overview of photovoltaic tracking systems, as well as the latest studies that have been done in recent years. The review will be supplemented with a factual presentation of the tracking systems used at the Institute of Energy Technology of the University of Maribor. Keywords: solar energy, photovoltaic tracking system, tracking strategies, drive system, degree of freedom Published in DKUM: 15.11.2023; Views: 436; Downloads: 36 Full text (5,31 MB) This document has many files! More... |
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9. 2D speckle-tracking in assessment of myocardial strain in children with hypertrophic cardiomyopathyNadezhda Chernykh, Alla Tarasova, Olga Groznova, 2021, original scientific article Keywords: 2D sledenje ultrazvočnega vzorca., deformacija miokarda, ehokardiografija, hipertrofična kardiomiopatija, zgodnja diagnoza, zdravljenje, otrok, 2D speckle tracking, strain, echocardiography, hypertrophic cardiomyopathy, early diagnosis, treatment, children Published in DKUM: 22.01.2023; Views: 606; Downloads: 61 Full text (523,36 KB) This document has many files! More... This document is also a collection of 1 document! |
10. Development of the Waterproof Enclosure for Tracking System PitStop : master's thesisBlaž Bratuš, 2018, master's thesis Abstract: The IUCN Red List of Threatened Species classifies six out of seven species of sea turtle as Threatened. Different tagging systems are being used to better protect and conserve the sea turtles and their habitats with the data gathered being essential to design better conservation strategies.
Tagging sea turtles can be quite expensive using the proprietary commercial tags. The aim of this project was to develop a reliable and affordable tracking system PitStop for monitoring threatened sea turtles. Different designs, materials and sealing methods were proposed and tested to find the optimal solution considering the performance, reliability and costs. Keywords: waterproof enclosure, tracking system, PitStop, GPS tagging, open-source conservation, sea turtles Published in DKUM: 08.10.2018; Views: 1376; Downloads: 196 Full text (3,84 MB) |