Iskanje po katalogu digitalne knjižnice

Opis: We present a novel approach to numerical modelling of thermal nanofluids based on the Euler–Lagrange method. This approach overcomes the challenge of extremely fine temporal discretization, which previous Euler–Lagrange nanofluid numerical models struggled to address, while also avoiding the need for too many Lagrangian nanoparticles. A numerical uncertainty assessment method is adapted for the proposed approach. The model is validated with a simple verification case and applied to simulate a closed natural circulation loop heat exchanger operating with heating power ranging from 10 W to 50 W and nanoparticle volume fractions of 0.5% to 2%, using an Al2O3–water nanofluid. Results are compared with experimental temperature measurements and an Euler–Euler implementation of the same nanofluid. The model is also applied to simulate the natural convection inside a vertical enclosure, studied experimentally by other authors. The proposed novel approach demonstrates agreement with both experimental data and the Euler–Euler implementation, effectively capturing the overall behaviour of nanofluids. We establish, that the interplay of multiple transport phenomena, that occur in nanofluid operated devices, can be difficult to completely reproduce numerically within the framework of current modelling assumptions.
Ključne besede: Euler–Lagrange nanofluid modelling, numerical uncertainty assessment, natural convection loop simulation, nanoparticle concentration analysis, nanofluid heat transfer
Objavljeno v DKUM: 17.06.2025; Ogledov: 0; Prenosov: 3
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Opis: Aims and Objective: The aim of this study was to explore the feasibility, usability and acceptance of integrating Clinical Decision Support Systems with Socially Assistive Robots into hospital grand rounds. Background: Adopting Clinical Decision Support Systems in healthcare faces challenges such as complexity, poor integration with workflows, and concerns about data privacy and quality. Issues such as too many alerts, confusing errors, and difficulty using the technology in front of patients make adoption challenging and prevent it from fitting into daily workflows. Making Clinical Decision Support System simple, intuitive and user-friendly is essential to enable its use in daily practice to improve patient care and decision-making. Methods: This six-month pilot study had two participant groups, with total of 40 participants: a longitudinal intervention group (n =8) and a single-session evaluation group (n=32). Participants were medical doctors at the University Clinical Center Maribor. The intervention involved implementing a Clinical Decision Support System delivered via a Socially Assistive Robot during hospital grand rounds. We developed a system that employed the HL7 FHIR standard for integrating data from hospital monitors, electronic health records, and patient-reported outcomes into a single dashboard. A Pepper-based SAR provided patient specific recommendations through a voice and SAR tablet enabled interface. Key evaluation metrics were assessed using the System Usability Scale (SUS) and the Unified Theory of Acceptance, Use of Technology (UTAUT2) questionnaire, including Effort Expectancy, Performance Expectancy and open ended questions. The longitudinal group used the system for 6 months and completed the assessments twice, after one week and at the end of the study. The single-session group completed the assessment once, immediately after the experiment. Qualitative data were gathered through open-ended questions. Data analysis included descriptive statistics, paired t-tests, and thematic analysis. Results: System usability was rated highly across both groups, with the longitudinal group reporting consistently excellent scores (M =82.08 at final evaluation) compared to the acceptable scores of the single-session group (M =68.96). Extended exposure improved user engagement, reflected in significant increases in Effort Expectancy and Habit over time. Participants found the system enjoyable to use, and while no significant changes were seen in Performance Expectancy, feedback emphasized its efficiency in saving time and improving access to clinical data, supporting its feasibility and acceptability. Conclusions: This research supports the potential of robotic technologies to transform CDSS into more interactive, efficient, and user-friendly tools for healthcare professionals. The paper also suggests further research directions and technical improvements to maximize the impact of innovative technologies in healthcare.
Ključne besede: clinical decision support systems, clinical decision-making, hospital grand rounds, patient data integration, perceived quality of care, socially assistive robots, usability and familiarity, user experience questionnaire, workload reduction
Objavljeno v DKUM: 30.05.2025; Ogledov: 0; Prenosov: 2
Celotno besedilo (3,02 MB)

Opis: The study of wage determinants goes back to the beginning of economic science, with theoretical and empirical foundations providing the basis for the specification of a model of the wage function. Using the OLS method, we study the determinants of real wages for Estonia between 2006Q3 and 2022Q3 and Latvia between 2004Q1 and 2022Q3. The lagged dependent variable exerts the most considerable impact on real wages, i.e., real wages in the preceding quarter. We find that unemployment has a relatively larger impact on real wage dynamics than real productivity in the Latvian than in Estonian model. In the Estonian model, real productivity has a relatively stronger impact than unemployment in explaining real wages. In both countries, changes in real productivity impact real wages with a one-quarter lag. The findings on the relative influence of real wage determinants guide economic policymakers in targeting measures that could increase real wages in both countries.
Ključne besede: wage function, OLS, Estonia, Latvia
Objavljeno v DKUM: 28.05.2025; Ogledov: 0; Prenosov: 2
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Opis: The question of fiscal sustainability of countries has become one of the central topics in economic policy, especially in times of increasing public debts. One way to assess fiscal sustainability is to examine compliance with the intertemporal budget constraint, which involves testing the stationarity of government revenues and expenditures, the primary budget balance, and the first differences of public debt. Part of this approach includes testing cointegration and causality among different pairs of variables. Under this approach, the paper is focused on both first- and second-generation panel unit root tests, cointegration, and Granger causality test. This paper focuses on assessing the fiscal sustainability of four panels of countries divided by continents: Europe, Asia and Oceania, Africa, and Latin America, the Caribbean, and North America. It has been found that fiscal sustainability is present in all the broader groups of countries considered but in a weak form. Fiscal sustainability was confirmed when considering a constant in calculations, while deviations were observed among groups of countries when both a constant and trend were considered. The study serves as a starting point for a more extensive analysis of fiscal sustainability. For more accurate findings, it would be necessary to categorize countries into smaller and economically more homogeneous groups and analyze them using other fiscal sustainability methods as well.
Ključne besede: cointegration tests, fiscal sustainability, Granger causality tests, intertemporal budgetary constraint, unit root tests
Objavljeno v DKUM: 27.05.2025; Ogledov: 0; Prenosov: 4
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Opis: Koncept pametnega mesta postaja vedno bolj priljubljen pri reševanju najzahtevnejših urbanih problemov in spodbujanjem ekonomskega razvoja. Ker delujemo na področju tovornega prometa, smo se v raziskavi osredotočili zlasti na ključne rešitve za uspešno implementacijo v slovenskih pametnih mestih v povezavi s tovornim prometom. Pri raziskovanju smo se najprej lotili pregleda literature glede uspešnosti implementacije tovornega prometa v sistem pametnih mest v Sloveniji, nato smo poiskali primere v večjih evropskih mestih in si jih podrobneje pogledali. Te smo primerjali s slovenskimi ter ugotavljali, kako bi jih lahko uspešno implementirali na naših tleh in kaj vse bi potrebovali za implementacijo. Ključne rešitve vključujejo pametno logistiko, uporabo električnih in avtonomnih vozil ter optimizacijo prometnih tokov s pomočjo naprednih tehnologij in algoritmov. V Sloveniji se koncept pametnih mest šele začenja razvijati, vendar že obstajajo številni primeri, ki kažejo na potencial za uspešno implementacijo pametnih rešitev, zlasti v povezavi s tovorno logistiko. Mestne oblasti v Sloveniji, na primer Ljubljana in Maribor, so že začele uvajati nekatere pametne elemente, kot so pametni parkirni sistemi, digitalni prometni nadzor in razvoj infrastrukture za električna vozila. Vendar pa Slovenija zaostaja v primerjavi z večjimi evropskimi mesti, ki že uporabljajo napredne tehnologije za optimizacijo tovornega prometa.
Ključne besede: Pametna mesta, pametna mobilnost, trajnostna mesta, tovorni promet, logistika v pametnih mestih
Objavljeno v DKUM: 13.05.2025; Ogledov: 0; Prenosov: 20
Celotno besedilo (1,94 MB)