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Abstract: The aim of the present study was to validate the Slovenian version of the ZKPQ-50-CC (Aluja et al., 2006). The ZKPQ-50- CC is a shortened, cross-culturally validated version of the Zuckerman Kuhlman Personality Questionnaire (ZKPQ; Zuckerman et al., 1988), based on an alternative five-factor model of personality. Our sample included 2138 emerging adults (1534 females; Mage = 21.28 years; SD = 3.62) who filled in both the ZKPQ-50-CC and the Big Five Inventory (BFI; John et al., 1991). The results of a confirmatory factor analysis showed similarities to those of the original validation study across four European countries (Aluja et al., 2006). To improve upon the psychometric properties of the ZKPQ-50-CC scales, however, we removed six items with low factor loadings (below .30), resulting in the ZKPQ-44-CC. The five factors (Impulsive Sensation Seeking, Neuroticism-Anxiety, Aggression-Hostility, Activity, and Sociability) of the adjusted instrument suggested acceptable internal reliability, as well as satisfactory convergent and divergent validity against the BFI factors. We also determined relatively high levels of temporal stability (measurements two years apart) of the alternative five factors in a smaller follow-up sample (n = 168). Despite several drawbacks, we consider the ZKPQ-44-CC appropriate for psychological research in Slovenia.
Keywords: Zuckerman’s alternative five-factor personality model, the ZKPQ-50-CC, Slovenian validation, validity, internal reliability, temporal stability, Zuckerman-Kuhlman Cross-Cultural 50 item personality questionnaire ZKPQ-50-CC, test validity, psychometrics, test reliability
Published in DiRROS: 08.07.2025; Views: 37; Downloads: 9
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Abstract: During the COVID-19 pandemic's school closures and the distance education that resulted from it, teachers were faced with an increasing workload and significant changes in their working environment. Because increased workload can result not only in worsened mental health and lower work motivation, but also in worsened learning outcomes, this article explores how teacher-perceived job demands, job resources, and personal resources are related to teachers' assessment of teaching quality and student engagement during the pandemic. Using the data of 1,422 8th grade teachers in Slovenia from the IEA Responses to Educational Disruptions Survey (REDS) survey, this study also explores the perceived level of support from different institutional actors and the utility of Job demands-resources model for this specific group of workers in a specific work setting. The results show that the teachers of 8th graders in Slovenia perceived a higher level of support from their closest working environment compared to the national bureaucracy. In terms of job demands, the increased workload in preparing the lessons had negative effect on both teaching quality and student engagement, while the reported increase in time spent on direct work with students and social support received (a job resource) contributed positively to both outcome variables. In line with theoretical expectations, personal resources were positive predictors of teaching quality and student engagement in our model. Compared with the initial expectations this study had based on the underlying theoretical model, the results paint a complex relationship between job characteristics and learning outcomes during distance learning. Thus, some of the challenges both teachers and policy-makers face and will continue to face in possible similar situations are discussed.
Keywords: job demands, job resources, teachers, teaching quality, student engagement, job demandsrResources model, covid-19
Published in DiRROS: 08.07.2025; Views: 29; Downloads: 11
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Abstract: The mauve stinger Pelagia noctiluca is a holoplanktonic oceanic jellyfish known for its painful sting and large outbreaks at irregular intervals. As jellyfish field observations are almost exclusively limited to coastal regions, there are many unknowns about the spatial and temporal dynamics of most species. We approach the problem using a spatially explicit individual-based model for the mauve stinger in the Mediterranean Sea. The newly developed module for the OpenDrift Lagrangian particle tracking tool includes diel vertical migrations, fooddependent growth modeled on Michaelis–Menten kinetics, and custom mortality related to shallow waters and stranding. In the first part of the study, we analyze the resulting parameter space searching for solutions that ensure a stable Pelagia noctilucapopulation in the western Mediterranean Sea. In the second part, we conducted several 21-year simulations. Despite its relative simplicity, the model reveals for the first time the dynamic spatio-temporal distribution of Pelagia noctiluca. We demonstrate how spatially explicit individual-based model can be used to generate a realistic spatio-temporal distribution of marine zooplankton, even with a limited set of observations and loosely constrained parameters. The model code is easy to modify and freely available.
Keywords: individual-based model, agent-based model, zooplankton, Lagrangian particle tracking, ocean circulation, jellyfish
Published in DiRROS: 05.06.2025; Views: 226; Downloads: 122
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Abstract: Accurate treatment of heat and mass transfer processes inside airlift reactors requires accurate velocity field information. This study presents a novel one-dimensional model forecasting induced liquid flow within an external loop airlift reactor across diverse flow regimes. The approach is grounded on homogeneous flow assumption, augmented by a novel correction term derived through modeling of turbulence-induced pressure losses behind gas structures, employing the separated flow model (Lockhart-Martinelli). The model was assessed by comparing the results with purpose-provided experimental data utilizing air and demineralized water. The gas and liquid superficial velocities ranged from 0.001-0.6 m/s and 0.2–1.1 m/s, respectively. Within ± 10 %, an agreement between the novel model and experimental data was observed for both bubbly, separated, and in- termediate flow regimes. A similarly robust agreement was confirmed through comparisons with five published experimental datasets. The distinctive feature of this model is its ability to accommodate multiple flow regimes in a unified manner. It circumvents the necessity for specific regime modeling by introducing a correction term with a complexity marginally surpassing that of the conventional homogeneous flow approach. Beyond its primary application in airlift reactors, the model provides a unified framework for modeling two-phase flow hydrody- namics in thermal applications, particularly in flow boiling and bubble-induced convective heat transfer systems. The model’s simple yet effective structure also allows for integration into higher-fidelity heat transfer simula- tions, making it valuable for boiling heat transfer studies, enhanced cooling strategies, and industrial multiphase flow applications.
Keywords: airlift reactor, homogeneous flow, separated flow, theoretical model, induced flow
Published in DiRROS: 13.05.2025; Views: 229; Downloads: 89
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Keywords: soil corrosion, CO2, corrosion mechanism, corrosivity model
Published in DiRROS: 24.04.2025; Views: 180; Downloads: 96
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