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Showing papers by "University of Maribor published in 2022"


Journal ArticleDOI
01 Jan 2022-Energy
TL;DR: In this article, the pyrolysis behavior of bituminous and lignite coal at elevated pressure was studied in a drop tube furnace, and the results showed that the pressure, atmosphere and coal rank could effect on the volatile releasing and char evolution significantly.

16 citations


Journal ArticleDOI
TL;DR: In this paper, the pH dependence of the UV/Vis spectrum of gallic and ellagic acid was measured in a buffer-free solution to obtain reliable data at wavelengths bellow 230nm.

14 citations


Journal ArticleDOI
TL;DR: In this article, the relativistic topological descriptors of the zeolite RHO structures were derived by graph-theoretical cut methods that reduce the complex structures with tunnels and cages into simpler graphs.

13 citations


Journal ArticleDOI
TL;DR: In this article, the authors compared pesticide residues, copper and biogenic amines concentrations in conventional and organic wines, and confirmed lower numbers and concentrations of pesticide residues in organic wines.

11 citations


Journal ArticleDOI
TL;DR: In this paper , the authors investigated forward osmosis (FO) for the concentration of hexavalent chromium (Cr (VI)) in electroplating wastewater from processing Acrylonitrile Butadiene Styrene/Polycarbonate plastics to enable the reuse of recovered Cr(VI) in the plating baths.

10 citations


Journal ArticleDOI
TL;DR: In this paper , the authors compared pesticide residues, copper and biogenic amines concentrations in conventional and organic wines, and confirmed lower numbers and concentrations of pesticide residues in organic wines.

9 citations


Journal ArticleDOI
TL;DR: An ensemble method based on stochastic gradient descent with warm restarts (SGDRE) that exploits the generalization capabilities of ensemble methods and SGD withwarm restarts mechanism to obtain a diverse group of classifiers, necessary for ensemble, in one single training process, spending the same or less training time than a single CNN classification model.
Abstract: Childhood pneumonia, the leading cause of children mortality globally, is most commonly diagnosed based on the radiographic data, which requires radiologic interpretation of X-ray images. With recent advancements in the field of deep learning, the convolutional neural networks (CNN) have proven to be able to achieve great performance in medical image segmentation, analysis and classification tasks. However, developing and training methods utilizing CNN is still a complex and time-consuming process with several open issues — generalization, demand for large datasets, and high time complexity. The optimization objective in the training of CNN models has multiple minima, which do not necessarily generalize well and may result in poor performance. Ensemble methods are commonly employed to address the generalization issue, but they require a group of diverse models and are generally even more time-consuming. To address the issues of generalization, dataset size and time complexity, we developed an ensemble method based on stochastic gradient descent with warm restarts (SGDRE) that exploits the generalization capabilities of ensemble methods and SGD with warm restarts mechanism, which is adopted to obtain a diverse group of classifiers, necessary for ensemble, in one single training process, spending the same or less training time than a single CNN classification model. The SGDRE method has been trained on publicly available pediatric chest X-ray images dataset and evaluated using 10-fold cross-validation approach. The experimental results show a significant improvement of SGDRE over the two compared baseline methods. With an achieved test accuracy of 96.26% and AUC of 95.15%, the proposed method proved to be a very competitive classification method.

8 citations


Journal ArticleDOI
Anja Pahor1
TL;DR: This paper developed a self-administrable, mobile-based test called UCancellation (University of California Cancellation), which was designed to assess selective attention and concentration and has two stimulus sets: Letters and Pictures.
Abstract: Measuring selective attention in a speeded task can provide valuable insight into the concentration ability of an individual, and can inform neuropsychological assessment of attention in aging, traumatic brain injury, and in various psychiatric disorders. There are only a few tools to measure selective attention that are freely available, psychometrically validated, and can be used flexibly both for in-person and remote assessment. To address this gap, we developed a self-administrable, mobile-based test called “UCancellation” (University of California Cancellation), which was designed to assess selective attention and concentration and has two stimulus sets: Letters and Pictures. UCancellation takes less than 7 minutes to complete, is automatically scored, has multiple forms to allow repeated testing, and is compatible with a variety of iOS and Android devices. Here we report the results of a study that examined parallel-test reliability and convergent validity of UCancellation in a sample of 104 college students. UCancellation Letters and Pictures showed adequate parallel test reliability (r = .71–.83, p < 0.01) and internal consistency (ɑ = .73–.91). It also showed convergent validity with another widely used cancellation task, d2 Test of Attention (r = .43–.59, p < 0.01), and predicted performance on a cognitive control composite (r = .34–.41, p < 0.05). These results suggest that UCancellation is a valid test of selective attention and inhibitory control, which warrants further data collection to establish norms.

6 citations


Journal ArticleDOI
TL;DR: In this article, the authors studied the NOx formation from ammonia oxidation and its control in POC under both atmospheric and elevated pressure, and showed that the NO reduction by reburning process is enhanced from 43% to 76% with a pressure increase from 1/m to 15/m. In addition, the conversion of NO to N2 is boosted by elevating the pressure.
Abstract: Pressurized oxy-combustion (POC) is an emerging technology and has a higher efficiency compared to atmospheric combustion for carbon capture, utilization, and sequestration (CCUS). NOx is one of the significant conventional pollutants produced in POC, which has not only a disastrous effect on the environment but also aggravate the corrosion in the CCUS system. Ammonia is one of the primary gaseous precursors for NOx generation in solid fuel combustion. Nonetheless, the evolution of NOx from ammonia oxidation in pressurized combustion is still rarely studied, especially in the oxy-environment. Therefore, it is imperative to study the NOx formation from ammonia oxidation and its control in POC. In this study, first, the formation of NOx from ammonia oxidation in POC is kinetically evaluated. Different parameters are investigated at elevated pressure i.e., the effects of oxy and the air-environment, temperature, H2O, and SO2 concentration, on NOx formation. After that, reburning process is analyzed at high pressure to control the NOx using the actual POC conditions. The results illustrate that the ammonia oxidation temperature continues to decrease as the pressure rises from 1 atm to 10 atm. Pressures larger than 10 atm have no effect on the oxidation of NH3. The NO formation from NH3 oxidation continuously decreases with increasing the pressure, which means that higher pressure inhibits the NOx formation. The NO formation in air is significantly higher than the oxy-environment, due to the significant thermal NOx formation in air environment. The water vapor enhances the NO formation in oxy-environment significantly at 1 atm, however this effect is suppressed by elevated pressure. There is no effect of SO2 on NH3 oxidation and NO formation at both atmospheric and elevated pressure. The NO reduction by reburning process is enhanced from 43% to 76% with a pressure increase from 1 atm to 15 atm. In addition, the conversion of NO to N2 is boosted by elevating the pressure.

6 citations


Journal ArticleDOI
06 Sep 2022-Diabetes
TL;DR: In this paper , the authors used calcium imaging of isolated human islets to assess their collective behavior and found that the activity occurred in the form of calcium oscillations, was synchronized across different regions of islets through calcium waves, and was glucose dependent.
Abstract: Pancreatic islets are highly interconnected structures that produce pulses of insulin and other hormones, maintaining normal homeostasis of glucose and other nutrients. Normal stimulus-secretion and intercellular coupling are essential to regulated secretory responses, and these hallmarks are known to be altered in diabetes. In the current study, we used calcium imaging of isolated human islets to assess their collective behavior. The activity occurred in the form of calcium oscillations, was synchronized across different regions of islets through calcium waves, and was glucose dependent: higher glucose enhanced the activity, elicited a greater proportion of global calcium waves, and led to denser and less fragmented functional networks. Hub regions were identified in stimulatory conditions, and they were characterized by long active times. Moreover, calcium waves were found to be initiated in different subregions and the roles of initiators and hubs did not overlap. In type 2 diabetes, glucose dependence was retained, but reduced activity, locally restricted waves, and more segregated networks were detected compared with control islets. Interestingly, hub regions seemed to suffer the most by losing a disproportionately large fraction of connections. These changes affected islets from donors with diabetes in a heterogeneous manner.

6 citations


Journal ArticleDOI
TL;DR: In this article , the authors developed a method for automatic creation of metro maps of information obtained by Association Rule Mining and, thus, spread its applicability to the other machine learning methods.
Abstract: Association Rule Mining is a machine learning method for discovering the interesting relations between the attributes in a huge transaction database. Typically, algorithms for Association Rule Mining generate a huge number of association rules, from which it is hard to extract structured knowledge and present this automatically in a form that would be suitable for the user. Recently, an information cartography has been proposed for creating structured summaries of information and visualizing with methodology called “metro maps”. This was applied to several problem domains, where pattern mining was necessary. The aim of this study is to develop a method for automatic creation of metro maps of information obtained by Association Rule Mining and, thus, spread its applicability to the other machine learning methods. Although the proposed method consists of multiple steps, its core presents metro map construction that is defined in the study as an optimization problem, which is solved using an evolutionary algorithm. Finally, this was applied to four well-known UCI Machine Learning datasets and one sport dataset. Visualizing the resulted metro maps not only justifies that this is a suitable tool for presenting structured knowledge hidden in data, but also that they can tell stories to users.

Journal ArticleDOI
TL;DR: In this article, the authors deal with uncertainty quantification of transcranial electric stimulation (TES) of realistic human head model, which consists of 9 subdomains: scalp, skull, CSF, grey matter, white matter, cerebellum, ventricles, jaw and tongue.
Abstract: This paper deals with uncertainty quantification of transcranial electric stimulation (TES) of realistic human head model. The head model taken from Visible Human Project consists of 9 subdomains: scalp, skull, CSF, grey matter, white matter, cerebellum, ventricles, jaw and tongue. The deterministic computation of quasi-static induced electric scalar potential features boundary element method (BEM). Conductivities of each subdomain are modelled as uniformly distributed random variables and stochastic analysis features a non-intrusive stochastic collocation method (SCM). The input uncertainties impact only the magnitude of the electric scalar potential and not the position of the potential extrema. Skin and brain conductivities play the most important role, while CSF conductivity has negligible impact on the output potential variance. The significance of the skull conductivity is not high for the chosen input parameter setup. In the previous work authors considered 3-compartment head model which consisted of scalp, skull and brain compartments. The presented model is a step forward in SCM+BEM TES analysis, primarily in terms of model complexity. Comparing the results of the two analyses it can be concluded that the uncertainty in the added tissues’ conductivities do not impact the variation of the output electric potential.

Journal ArticleDOI
TL;DR: In this paper , a computational model for the determination of the fatigue life of sintered gears is presented, where the total fatigue life is divided into the crack initiation life, Ni, and crack propagation life, Np.

Book ChapterDOI
01 Jan 2022
TL;DR: In this paper, the authors briefly summarize the leading theories of TEs, hoping to do justice at least to the main ideas and arguments characterizing the present debate, and conclude that TEs are the usual verdicts-intuitions resulting from them.
Abstract: How should we understand TEs and the usual verdicts-intuitions resulting from them? In this chapter we briefly summarize the leading theories of TEs, hoping to do justice at least to the main ideas and arguments characterizing the present debate.

Journal ArticleDOI
TL;DR: In this paper , the authors report that antipsychotic treatment reduces overall mortality, hospitalization, and cardiovascular death in the elderly with schizophrenia. But, the authors do not consider the use of polypharmacy.
Abstract: Purpose of review Elderly patients with schizophrenia (SCH) are treated with antipsychotics and are often on different comedications, including polypharmacy (five or more medications). Evidence-based guidelines and randomized controlled trials do not include patients on polypharmacy, something that represents a ‘gap’ between evidence-based recommendations and clinical prescribing patterns. In this context, narrative reviews are needed to help clinicians in daily practice. Recent findings Antipsychotic treatment efficacies in meta-analyses are similar in the elderly with SCH compared with the general population (medium effect size). Long-term cohort studies show that antipsychotic treatment reduces overall mortality, hospitalizations, and cardiovascular death. These studies are limited because polypharmacy was not studied. The prevalence of antipsychotic use as potentially inappropriate medications was very high in nursing homes (25%). The prevalence of antipsychotic polypharmacy was 40%. Different strategies to manage these problems are available, including collaboration with clinical pharmacists, leading to reduced polypharmacy and better adherence to treatment guidelines. Summary Elderly patients with SCH on polypharmacy are less frequently studied, although they represent many patients with SCH. Different potentially inappropriate medication lists and collaboration with clinical pharmacists represent effective strategies for medication optimization. More studies are needed on this topic (e.g., prospective nonrandomized studies).

Journal ArticleDOI
TL;DR: In this paper , the authors proposed an improved framework for an automated ontology evaluation based on the OQuaRE framework and introduced three metrics for assessing the interoperability of the ontology in question (Externes, composability, and aggregability).
Abstract: The intelligent management of built cultural heritage, including heritage buildings, requires common semantics in the form of standardized ontologies to achieve semantic interoperability. Foundational ontologies should be reused when building new ontologies, as they provide high-level terms; however, candidate foundational ontologies should be evaluated for quality and pitfalls. Simple metrics (e.g., number of concepts) are easy to obtain with existing tools. Complex metrics such as quality of ontology structure, functional adequacy, transferability, reliability, compatibility, maintainability, and operability, are defined in recent ontology evaluation frameworks; however, these do not evaluate interoperability features. The paper proposes an improved framework for an automated ontology evaluation based on the OQuaRE framework. Our approach improved some of the metrics of the OQuaRE framework and introduced three metrics for assessing the interoperability of the ontology in question (Externes, Composability, and Aggregability). In the experimental section, the framework is validated in an evaluation of cultural heritage information ontology (CIDOC CRM—ISO 12217:2014) with the use of new software for ontology evaluation. The detailed results reveal that the ontology is minimally acceptable and that the improved evaluation framework efficiently integrated interoperability metrics. Recommendations for the improvement of the cultural heritage information ontology are described in the Discussion and Conclusions section.

Journal ArticleDOI
27 Apr 2022-Crystals
TL;DR: In this article , the effect of friction stir processing (FSP) on the microstructure and properties of high-speed twin-roll cast strips made of an experimental Al-Mn-Cu-Be alloy was examined using light, scanning and transmission electron microscopy, microchemical analysis, X-ray diffraction, and indentation testing.
Abstract: We studied the effect of friction stir processing (FSP) on the microstructure and properties of high-speed twin-roll cast strips made of an experimental Al–Mn–Cu–Be alloy. The samples were examined using light, scanning, and transmission electron microscopy, microchemical analysis, X-ray diffraction, and indentation testing. During FSP, the rotational speed varied, while other parameters remained constant. The uniformity of the microstructure increased with the growing rotational speed. In the stir zone, several processes took place, and the most important were: recrystallisation of the matrix grains, fragmentation of the primary intermetallic particles Al15Mn3Be2 and their more uniform distribution in the stir zone, fracture, and dispersion of the eutectic icosahedral quasicrystalline phase (IQC), transformation of tiny Al15Mn3Be2 and IQC particles into the τ1-Al26Mn6Cu4 phase and precipitation of Al–Mn–Cu precipitates. In the thermomechanically affected zone, new dislocations formed as well as dispersion of the IQC eutectic phase and recrystallisation of the matrix grains. In the heat-affected zone, dissolution of θ’-Al2Cu precipitates occurred. The hardness variation was not severe between the stir and heat-affected zones.

Journal ArticleDOI
TL;DR: In this article , an improved robotic version of the Box and Blocks Test (BBT) is proposed to provide a quick evaluation of a complete robotic bin-picking system, consisting of a collaborative robot, a 3D vision system and three types of robotic grippers.
Abstract: The rise of e-commerce, which demands solutions for small order sizes, large product assortment, short delivery times, and variable order quantity has created a need for more advanced warehousing and order-picking systems. The advancements in collaborative robotics have made it possible to automate intralogistics processes, especially the order-picking systems. If the items to be order-picked are stored in small containers, called bins, the process is known as bin-picking. The processes of bin-picking are still mainly manual due to the adaptability, dexterity, and pace of human hands. However, with the emerging technologies, the gap between human and robot dexterity is getting thinner. The integrators of robotic technologies are therefore faced with the challenge of choosing an appropriate robotic system for bin-picking. There is a lack of standardized procedures, which are designed to process such decisions easier. In our research paper, we propose an improved robotic version of the Box and Blocks Test (BBT), which provides a quick evaluation of a complete robotic bin-picking system. Using our improved robot-adapted BBT protocol, we evaluate a sample robotic bin-picking system, consisting of a collaborative robot, a 3D vision system and three types of robotic grippers, comparing the bin-picking performance of each configuration.

Journal ArticleDOI
Nejc Plohl1
TL;DR: For example, this paper found that trust in science and health literacy were positively associated with a wide array of health-promoting behaviors (e.g., healthy nutrition, physical activity, stress management).
Abstract: Various leading causes of death can be prevented or delayed through informed decision-making and lifestyle changes. Previous work has, to some extent, linked such health-promoting behavior (HPB) with variables capturing individuals’ understanding of science, trust in science, and capacity to apply evidence-based information in the health context. However, empirical research on the relationship between scientific knowledge, trust in science, health literacy, and HPB is scarce. Additionally, no study has investigated whether these characteristics interact to form homogeneous, high-risk subgroups of the population. The present online study (N = 705) revealed that trust in science and health literacy were positively related to a wide array of HPBs (e.g., healthy nutrition, physical activity, stress management), while scientific knowledge was only positively associated with COVID-19 vaccination intention. Furthermore, the results of latent profile analyses yielded four subgroups (i.e., low, moderate, and high levels of all three variables and a varied profile exhibiting very low trust in science, low health literacy, and moderate scientific knowledge). The identified subgroups differ significantly in HPB and variables determining profile membership (e.g., political conservatism). Hence, the present study offers some guidance on which groups may be targeted with public health campaigns and how they may be designed.

Journal ArticleDOI
23 Mar 2022-Energies
TL;DR: In this article , a review of optimization-based construction scheduling methods and their impact on schedule energy efficiency and the three key sustainability goals: economic viability, social equity, and environmental protection is presented.
Abstract: This article reviews the accomplishments of studies in which optimization tools were used to develop energy-efficient and sustainable construction schedules. With the increase in global awareness of environmental issues, the construction industry has been forced to explore innovative techniques to make the building process more energy-efficient and sustainable. Project managers can use optimization tools in their scheduling procedures to address these issues in the early stages of the project. Therefore, this paper examines different optimization-based construction scheduling methods and their impact on schedule energy efficiency and the three key sustainability goals: economic viability, social equity, and environmental protection. Such a review has not yet been conducted to the best of our knowledge. This research aims to fill the gap and contribute to understanding advanced optimization tools that can pave the way to energy-efficient and sustainable scheduling practices. After a brief introduction, the background of optimization-based construction scheduling techniques that aim to improve construction management and incorporate these aspects into the decision-making process is explained. Then, these approaches are addressed in detail. It is determined for each study whether it adopted energy efficiency goals and which sustainability dimensions it considered within the proposed optimization model. The results of this study indicate a wide heuristic algorithms application for complex scheduling problems. Meanwhile, mathematical programming is still quite unexplored, especially methods that utilize algebraic modeling languages. This study provides a foundation for further research by addressing the current reach in development and possible knowledge gaps that could be researched in future studies. The paper also discusses the advantages and limitations of different approaches and illustrates the potential for utilizing these methods. Supported by the main review findings, conclusions and recommendations for further research are provided.

Journal ArticleDOI
TL;DR: In this article, the potential for sustainable Melamine Etherified Resin (MER) fiber production, where all the required feedstocks could be from either renewable or waste origin, was explored, and the conventional process was compared to two alternatives processes which utilize waste CO2 and wood-based methanol for formalin production.

Journal ArticleDOI
TL;DR: According to the elaborated intrusion theory of desire, an initial thought about a wanted substance is elaborated with mental imagery, which increases craving and the probability of consuming the substance as mentioned in this paper , and they used an app-assisted experience sampling approach to test this theory in the context of food craving and eating.
Abstract: Objective: According to the elaborated intrusion theory of desire, an initial thought about a wanted substance is elaborated with mental imagery, which increases craving and the probability of consuming the substance. We used an app-assisted experience sampling approach to test this theory in the context of food craving and eating.Design: Overall, 221 females (mean age = 21 years; mean body mass index = 22) reported craving, mental imagery, and food consumption six times per day (2 h intervals) for seven consecutive days. Additionally, two traits (general food craving and imagery ability) were assessed.Main outcome measures: craving intensity, food consumption.Results: The probability of eating a craved food increased if the vividness of the mental food image and craving intensity increased two hours before - independent of trait food craving and trait imagery ability. We also found evidence of controlled eating behavior, with participants consuming the food they craved in only 38% of the cases.Conclusion: Mental imagery vividness and craving intensity predict consumption of craved food. The association between craving and eating might be stronger in individuals who struggle with controlling their eating behavior. Therefore, future studies should examine these relationships in overweight/obese samples or patients with eating disorders.

Journal ArticleDOI
TL;DR: In this paper, the authors performed unbiased molecular dynamics simulations of three protonation states of histidine 80 (H80) to unravel channel gating and found a water coordination pattern with an inverted orientation of the water molecules in vicinity of the loop.

Journal ArticleDOI
TL;DR: In this paper, it was shown that the geodesic-transversal problem is NP-complete and that the minimum cardinality of such a set is the minimum number of vertices in a set of maximal geodesics.

Journal ArticleDOI
TL;DR: In this paper , the authors analyzed pedestrian safety at roundabouts set in two different locations, Italy and Slovenia, taking into account the effects of diverse road habits typical of the two countries.
Abstract: Background: Roundabouts are considered one of the safest infrastructure typologies, when referring to motorized traffic. Due to their ability to reduce conflict points between vehicles, they have been largely spread, substituting signalized or unsignalized intersections. While the increase in safety for drivers has been largely tackled and demonstrated by researchers, and some efforts have been spent on the side of cyclists, pedestrian safety has not been extensively analyzed yet. Aim: The present paper aims at analyzing pedestrian safety at roundabouts set in two different locations, Italy and Slovenia. This research will highlight differences and similarities in the behavior of walkers at the same type of infrastructure, taking into account the effects risen by diverse road habits typical of the two countries. Methodology: Starting from video footages recorded at the two locations, behavioral analysis, pointing out pedestrian speed, acceleration and crossing time, and a proactive safety analysis, calculating surrogate safety measures for vulnerable road users, have been run. Descriptive statistics and additional statistical tests are developed to compare the two data samples. Conclusions: From the behavioral point of view, results show for both locations faster pedestrian paces than expected, with the Slovenian case having the highest speed values and lowest crossing times. As regarding the safety point of view, Time-to-Collision, Time Advantage and relative speed between oncoming vehicles and the crossing pedestrians permitted to objectively evaluate conflict severity. The calculated percentages of values overcoming the individuated thresholds for determining dangerous events underlines the need to find solutions from both the infrastructural side and pedestrian awareness about their safe behavior.

Journal ArticleDOI
TL;DR: In this paper , the effect of the PCNF imprinting and its attachment after the postprinting of a hydrophobic polyacrylate (AP) on the same (back side) or the other (front) side of the fabric, with and without the addition of ATH NPs, was considered, to maintain the front side (facing the wearer) as hydrophilic while keeping the back side(facing the outside) hydrophoric.
Abstract: Al(OH) 3 nanoparticles (ATH NPs) and phosphorylated cellulose nanofibrils (PCNFs) were used as user-friendly and comfortable coating components on flame-retardant fabric to improve its thermophysiological comfort and high-intensive heat protection properties. The effect of the PCNF imprinting and its attachment after the post-printing of a hydrophobic polyacrylate (AP) on the same (back side) or the other (front) side of the fabric, with and without the addition of ATH NPs, was considered, to maintain the front side (facing the wearer) as hydrophilic while keeping the back side (facing the outside) hydrophobic. The amount of coatings applied and their patterning were studied, varied with the ATH NPs’ concentration (1.7, 3.3 and 6.7 wt%) and screen mesh size used (60 and 135), based on the coating’ mass, fabric’s air permeability, thickness and microstructure. The reduced moisture build-up (55%), increased the water vapour (13%) and heat (12%) transfer from the skin, were assessed by applying PCNF under the AP, being more pronounced in the case of using a 135 mesh-sized screen, given the smaller, more densely distributed, thinner and imprinted pattern coatings. These effects were further improved by the addition of nanoporous ATH NPs, which allowed more homogeneous spreading of the moisture and its faster transport. Such a treatment also shifted the fabric’s degradation temperature towards higher values (up to 15°C), retained up to 30% of high-heat flux (21 kW/m 2 ), prolonged the time to ignition by 11 s and reduced the total heat released by up to 60%, thereby providing better protection when exposed to the heat, due to the presence of the phosphorous (PCNF) promoted generation of an Al 2 O 3 char acting as a barrier layer, while also reducing the production of heat and generation of smoke by 75%.

Book ChapterDOI
01 Jan 2022

Journal ArticleDOI
01 Mar 2022-Energy
TL;DR: In this paper , a digital surface model was used to determine the potential of photovoltaic (PV) systems for a completed area of 75,537 m2, and the annual values of physical, geographical, technical, and economic potentials were 19.57, 7.54, 875.50, and 19.64 kWh.

Journal ArticleDOI
TL;DR: This article examined the structural validity of ZTPI scores using both traditional and auto-regressive approaches to see if context affects scoring and found that the DBTP-R scores relate to criterion variables slightly more strongly than DBTP scores.