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Evaluating seagrass meadow dynamics by integrating field-based and remote sensing techniques
Danijel Ivajnšič, Martina Orlando-Bonaca, Daša Donša, Jaša Veno Grujić, Domen Trkov, Borut Mavrič, Lovrenc Lipej, 2022, izvirni znanstveni članek

Opis: Marine phanerogams are considered biological sentinels or indicators since any modification in seagrass meadow distribution and coverage signals negative changes in the marine environment. In recent decades, seagrass meadows have undergone global losses at accelerating rates, and almost one-third of their coverage has disappeared globally. This study focused on the dynamics of seagrass meadows in the northern Adriatic Sea, which is one of the most anthropogenically affected areas in the Mediterranean Sea. Seagrass distribution data and remote sensing products were utilized to identify the stable and dynamic parts of the seagrass ecosystem. Different seagrass species could not be distinguished with the Sentinel-2 (BOA) satellite image. However, results revealed a generally stable seagrass meadow (283.5 Ha) but, on the other hand, a stochastic behavior in seagrass meadow retraction (90.8 Ha) linked to local environmental processes associated with anthropogenic activities or climate change. If systemized, this proposed approach to monitoring seagrass meadow dynamics could be developed as a spatial decision support system for the entire Mediterranean basin. Such a tool could serve as a key element for decision makers in marine protected areas and would potentially support more effective conservation and management actions in these highly productive and important environments.
Ključne besede: Adriatic Sea, seagrass meadow, change analysis, Cimodocea nodosa, image classifiers, Sentinel-2, marine biology, hydrobiology
Objavljeno v DKUM: 17.05.2024; Ogledov: 46; Prenosov: 2
.pdf Celotno besedilo (3,45 MB)
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The Thermochemical Conversion of Municipal Solid Waste by Torrefaction Process
Maja Ivanovski, Darko Goričanec, Danijela Urbancl, 2023, izvirni znanstveni članek

Opis: In this work, the thermochemical properties of municipal solid waste (MSW) are studied using the torrefaction process as the main method for investigation. Torrefaction experiments were carried out using an electric laboratory furnace, at temperatures of 200, 250, and 300 °C. The residence time was set to 90 min. Proximate and ultimate analysis were performed on the torrefied MSW samples and compared with the properties of the raw MSW samples. In addition, the thermal properties of the obtained torrefied MSW samples were evaluated by thermogravimetric analysis (TGA) and derivative thermogravimetric analysis (DTG). The following could be stated: the obtained results showed that mass and energy yields (MY and EY, respectively) decrease with increasing when torrefaction temperature, while the heating values (HHV) increased under the same conditions (from 24.3 to 25.1 MJ/kg). Elemental analysis showed an increase in carbon content (C), from 45.7 ± 0.9 to 52.8 ± 1.05 wt.%, and decrease in oxygen content (O), from 45.6 ± 0.9 to 39.5 ± 0.8 wt.%, when torrefaction temperature is increased, which is consistent with the general definition of the torrefaction process. In addition, enhancement factors (EFs) and fuel ratios (FRs) were calculated, which ranged from 1.00 to 1.02 and 0.16 to 0.23, respectively. Some anomalies were observed during the thermal analysis, which are assumed to be related to the composition of the selected MSW. This study therefore shows that torrefaction pretreatment can improve the physicochemical properties of raw MSW to a level comparable to coal, and could contribute to a better understanding of the conversion of MSW into a valuable, solid biofuel.
Ključne besede: biomass, municipal solid waste, torrefication, energy yield, thermogravimetric analysis
Objavljeno v DKUM: 10.05.2024; Ogledov: 97; Prenosov: 3
.pdf Celotno besedilo (1,63 MB)
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Advancements in data analysis for the work-sampling method
Borut Buchmeister, Nataša Vujica-Herzog, 2024, izvirni znanstveni članek

Opis: The work-sampling method makes it possible to gain valuable insights into what is happening in production systems. Work sampling is a process used to estimate the proportion of shift time that workers (or machines) spend on different activities (within productive work or losses). It is estimated based on enough random observations of activities over a selected period. When workplace operations do not have short cycle times or high repetition rates, the use of such a statistical technique is necessary because the labor sampling data can provide information that can be used to set standards. The work-sampling procedure is well standardized, but additional contributions are possible when evaluating the observations. In this paper, we present our contribution to improving the decision-making process based on work-sampling data. We introduce a correlation comparison of the measured hourly shares of all activities in pairs to check whether there are mutual connections or to uncover hidden connections between activities. The results allow for easier decision-making (conclusions) regarding the influence of the selected activities on the triggering of the others. With the additional calculation method, we can uncover behavioral patterns that would have been overlooked with the basic method. This leads to improved efficiency and productivity of the production system.
Ključne besede: work sampling, observations, analysis, proportions, correlations, interdependence between activities
Objavljeno v DKUM: 09.05.2024; Ogledov: 75; Prenosov: 5
.pdf Celotno besedilo (2,19 MB)
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Self-organization of enzyme-catalyzed reactions studied by the maximum entropy production principle
Andrej Dobovišek, Marko Vitas, Tina Blaževič, Rene Markovič, Marko Marhl, Aleš Fajmut, 2023, izvirni znanstveni članek

Opis: The self-organization of open reaction systems is closely related to specific mechanisms that allow the export of internally generated entropy from systems to their environment. According to the second law of thermodynamics, systems with effective entropy export to the environment are better internally organized. Therefore, they are in thermodynamic states with low entropy. In this context, we study how self-organization in enzymatic reactions depends on their kinetic reaction mechanisms. Enzymatic reactions in an open system are considered to operate in a non-equilibrium steady state, which is achieved by satisfying the principle of maximum entropy production (MEPP). The latter is a general theoretical framework for our theoretical analysis. Detailed theoretical studies and comparisons of the linear irreversible kinetic schemes of an enzyme reaction in two and three states are performed. In both cases, in the optimal and statistically most probable thermodynamic steady state, a diffusion-limited flux is predicted by MEPP. Several thermodynamic quantities and enzymatic kinetic parameters, such as the entropy production rate, the Shannon information entropy, reaction stability, sensitivity, and specificity constants, are predicted. Our results show that the optimal enzyme performance may strongly depend on the number of reaction steps when linear reaction mechanisms are considered. Simple reaction mechanisms with a smaller number of intermediate reaction steps could be better organized internally and could allow fast and stable catalysis. These could be features of the evolutionary mechanisms of highly specialized enzymes.
Ključne besede: enzymes, kinetic data analysis, steady state, self-organization, maximum entropy production
Objavljeno v DKUM: 08.05.2024; Ogledov: 77; Prenosov: 2
.pdf Celotno besedilo (2,57 MB)
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The synthesis, surface analysis, and cellular response of titania and titanium oxynitride nanotube arrays prepared on TiAl6V4 for potential biomedical applications
Katja Andrina Kravanja, Luka Suhadolnik, Marjan Bele, Uroš Maver, Jan Rožanc, Željko Knez, Maša Knez Marevci, Matjaž Finšgar, 2023, izvirni znanstveni članek

Opis: Titania nanotubes are gaining prominence in the biomedical field as implant materials due to their mechanical durability, nano-rough properties, and positive influence on cellular response. This work aimed to synthesize titania and titanium oxynitride (TieOeN) nano- tubular arrays on TiAl6V4 substrates using an anodic oxidation process followed by annealing in air or by additional nitridation in NH3 atmosphere. Different nanotubular layers of unique morphology and structure were fabricated and investigated using advanced surface analysis and biocompatibility tests. In-depth surface analysis was per- formed by field emission scanning electron microscopy (FE-SEM), atomic force microscopy (AFM), 3D profilometry, X-ray diffraction (XRD), X-ray photoelectron spectroscopy (XPS), and time-of-flight secondary ion mass spectroscopy (ToF-SIMS). Cell testing using adipose- derived mesenchymal stem cells and human fetal osteoblasts demonstrated good cell viability, high proliferative capacity, and a favorable overall effect on cell morphology for the TieOeN nanotubes.
Ključne besede: surface analysis, XPS, AFM, tandem ToF-SIMS, titania nanotubes, Ti-O-N nanotubes, anodization
Objavljeno v DKUM: 07.05.2024; Ogledov: 62; Prenosov: 2
.pdf Celotno besedilo (8,31 MB)
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Don't leave your heart at work : profiles of work-life interference and cardiometabolic risk
Katja Kerman, Sara Tement, Christian Korunka, 2021, izvirni znanstveni članek

Opis: The present study adopts an exploratory, person-oriented approach to investigate possible patterns of work-life interference. We examine work–life interference from a cognitive (i.e., thinking about work), behavioral (i.e., engaging in work-related behavior), and performance perspective (i.e., reduced functionality in private life, or work–life conflict) in order to identify profiles of employees that could potentially remain uncovered with variable-oriented research. Furthermore, as work–life interference relates to well-being and health, we were interested in exploring possible differences between profiles in emotional exhaustion, cardiometabolic risk, and health-related behavior. Self-report data on work–life interference and well-being, as well as objective health data, were collected from a heterogeneous sample of 289 employees. Four profiles with different patterns of work–life interference were identified. Out of the four profiles, two profiles reported moderate and high work–life interference (the Moderate Interference and High Interference profiles). The other two profiles revealed distinct combinations of moderate and low performance and behavioral interference (the Low Performance Interference and Low Behavioral Interference profiles). The High Interference and Low Behavioral Interference profiles were identified as risk groups in terms of cardiometabolic health, while the Low Performance Interference and Moderate Interference profiles showed low to no risk. Regarding work-related well-being, the High Interference profile showed the highest risk of emotional exhaustion.
Ključne besede: work-life interference, person-oriented approach, latent profile analysis, well-being, cardiometabolic risk
Objavljeno v DKUM: 12.04.2024; Ogledov: 125; Prenosov: 2
.pdf Celotno besedilo (474,02 KB)
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Distrustful, dissatisfied, and conspiratorial : a latent profile analysis of COVID-19 vaccination rejection
Monika Lamot, Katja Kerman, Andrej Kirbiš, 2022, izvirni znanstveni članek

Opis: Trust in science and scientists, satisfaction with the national government, and endorsement of conspiracy theories are important factors in the decision to be vaccinated. In this study, we investigated whether there are different profiles of individuals depending on the above factors and whether they differ in their sociodemographic composition. We used data from Round 10 of the European Social Survey for Slovenia, employing a nationally representative sample of 1252 participants. Based on latent profile analysis, three distinct profiles emerged: Profile 1 expressed moderate trust in science, satisfaction with government, and high endorsement of conspiracies; Profile 2 expressed low trust and satisfaction and moderate endorsement of conspiracies; Profile 3 expressed high trust and satisfaction and low beliefs in conspiracy theories. In addition, Profile 3 expressed the strongest support for vaccination and Profile 2 the lowest. Our results suggest that distrust, dissatisfaction, and the presence of conspiracy theories are the “perfect storm” for vaccination rejection. In contrast, despite conspiracy theories, a certain level of trust and satisfaction may reduce vaccination rejection.
Ključne besede: trust, science, government, COVID-19 vaccination, latent profile analysis
Objavljeno v DKUM: 12.04.2024; Ogledov: 82; Prenosov: 5
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