Showing papers by "University of Zagreb published in 2022"
Konstantinos N. Fountoulakis1, Grigorios N Karakatsoulis1, Seri Abraham2, Kristina Adorjan +153 more•Institutions (62)
TL;DR: In this article, the effects of the COVID-19 pandemic on mental health were investigated and the final model revealed multiple vulnerabilities and an interplay leading from simple anxiety to probable depression and suicidality through distress.
53 citations
TL;DR: A novel ultra-short-term PV power forecasting method based on the satellite image data is proposed in this paper, which combines the spatio-temporal correlation between multiple plants with power and cloud information and outperforms the benchmark methods.
43 citations
TL;DR: In this paper, a comprehensive review of the evolution of the diverse options for prosumer to exploit their potential is presented, where the authors compare the logic of the prosumer responding to dynamic prices and providing power system flexibility and compares it with the logic for lowering only their electricity bill.
Abstract: The possibility of onsite production and flexible consumption is transforming consumers from passive users to active service providers in power systems with the large share of renewable energy sources. The prosumer-centric paradigm brings diverse possibilities by introducing real-time (RT) pricing, enabling easy and fast change of the supplier, creating opportunities for aggregation, enabling local energy production and local energy exchange, as well as the provision of ancillary services. The paper brings a comprehensive review of the evolution of the diverse options for prosumer to exploit their potential. It starts with the analysis of models and opportunities for a single end-user who decided to invest in Photovoltaic (PV), electric vehicles, and flexible devices. Aside from the review, the paper challenges the logic of the prosumer responding to dynamic prices and providing power system flexibility and compares it with the logic of lowering only their electricity bill. It further analyses different types of aggregation, such as energy communities or microgrids, combined market participation with RES, but also decentralization models designed to stimulate internal energy exchange and solve network problems locally. Finally, it discusses the possibility of providing service to both Transmission and Distribution System Operator and the complexity such coordination requires when procuring flexibility services from resources connected to the distribution network or aggregated prosumers. In addition to a comprehensive review and discussion, the paper brings easy-to-understand models and belong results for the reviewed cases of a) single prosumer flexibility, b) aggregated multiple flexible prosumers, c) energy community with the possibility of peer-to-peer trading.
33 citations
30 citations
TL;DR: Case study on an Irish dataset indicates that the proposed semi-supervised learning approach outperforms supervised learning methods when only limited labeled data is available, and the identification accuracy improves with the increase of data resolution.
23 citations
TL;DR: The best convolutional neural network model derived from state-of-the-art architectures is determined, the best performing model parameters are determined using pretrained general-purpose vision model parameters as the starting point, and ablation experiments are performed to highlight which anatomical regions of the dental system contribute the most to the estimation.
Abstract: Age estimation is a key component in forensic analysis, be it in legal proceedings or archeological research. Current methods in forensic odontology are based on manual measurements of a wide array of morphometric parameters, typically from dental x-ray images, and occasionally from material remains. While those parameters follow a set progression during human development, thereby allowing current methods to precisely estimate the age of juveniles, estimation for adults and seniors proves to be more difficult. In this study, we explore the applicability of deep learning to the problem of chronological age estimation. We determine the best convolutional neural network model derived from state-of-the-art architectures, we determine the best performing model parameters using pretrained general-purpose vision model parameters as the starting point, and we perform ablation experiments to highlight which anatomical regions of the dental system contribute the most to the estimation. The proposed approach attains the lowest estimation error in literature for adult and senior subjects, which we verify on one of the largest datasets of panoramic dental x-ray images in literature. The dataset consists of 4035 panoramic dental x-ray images of male and female subjects with ages between 19 and 90 years. This study also evaluates the feasibility of the proposed model for age estimations of individual teeth, achieving an estimation error competitive with current methods while being fully automated. The estimation error is verified on our dataset of 76416 individual tooth images, which is the largest dataset to date in forensic odontology literature. Unlike current methods, dental alterations, decay, illnesses, or missing teeth do not pose a problem to the proposed model. With a median estimation error of 2.95 years for panoramic dental x-ray images and 4.68 years for individual teeth, and by deriving the model from state-of-the-art architectures, verifying those results on the largest dataset in forensic odontology literature and demonstrating the importance of different anatomical regions of the dental system for estimation, this study sets the baseline for future research of automated chronological age estimation in forensic odontology.
21 citations
TL;DR: In this paper , highly porous composite scaffolds based on CaPs substituted with Sr2+, Mg2+, Zn2+ and SeO32- ions, and chitosan have been prepared by freeze-gelation technique.
21 citations
TL;DR: In this paper , the authors focused on understanding the spatiotemporal characteristics of urban growth and its implications on the geomorphology of the Panchkula District, Haryana, one of the fastest-growing urban centers in India.
Abstract: Urbanization is an unavoidable process of social and economic growth in modern times. However, the speed with which urbanization is taking place produces complex environmental changes. It has affected the surface albedo and roughness of the soil, thereby modulating hydrological and ecological systems, which in turn has affected regional and local climate systems. In developing countries of South Asia, rampant and unplanned urbanization has created a complex system of adverse environmental scenarios. Similar is the case in India. The state of the urban environment across India is degrading so quickly that the long-term sustainability of its cities is endangered. Many metropolitan cities in India are witnessing the harmful impacts of urbanization on their land ecology. In this context, remote sensing and geographic information system (GIS) based assessments provide a comprehensive and effective analysis of the rate and the impact of urbanization. The present study focuses on understanding the spatiotemporal characteristics of urban growth and its implications on the geomorphology of the Panchkula District, Haryana, one of the fastest-growing urban centers in India. The study links the changes in land use/land cover (LULC) with the changing geomorphology of the study area using satellite remote sensing and GIS. The results showed that between 1980 and 2020, agricultural (+73.71%), built-up (+84.66%), and forest (+4.07%) classes of land increased in contrast to that of the fallow land (−76.80%) and riverbed (−50.86%) classes that have decreased in spatial extents. It has been observed that the hill geomorphological class had decreased in the area owing to conversion to industrial and built-up activities. Assessment of the environmental quality of cities involves multiple disciplines that call for a significant amount of scientific evaluation and strong decision making, and the present study shall lay down the baseline analysis of the impact of changing LULC on the geomorphological setup of the selected urban center.
15 citations
TL;DR: The authors evaluated whether COVID-19-related preprints were favored for publication, preprinting trends and public discussion of the preprints, and the relationship between the publication topic and quality issues.
Abstract: COVID-19-related (vs. non-related) articles appear to be more expeditiously processed and published in peer-reviewed journals. We aimed to evaluate: (i) whether COVID-19-related preprints were favored for publication, (ii) preprinting trends and public discussion of the preprints, and (iii) the relationship between the publication topic (COVID-19-related or not) and quality issues. Manuscripts deposited at bioRxiv and medRxiv between January 1 and September 27 2020 were assessed for the probability of publishing in peer-reviewed journals, and those published were evaluated for submission-to-acceptance time. The extent of public discussion was assessed based on Altmetric and Disqus data. The Retraction Watch Database and PubMed were used to explore the retraction of COVID-19 and non-COVID-19 articles and preprints. With adjustment for the preprinting server and number of deposited versions, COVID-19-related preprints were more likely to be published within 120 days since the deposition of the first version (OR = 1.96, 95% CI: 1.80-2.14) as well as over the entire observed period (OR = 1.39, 95% CI: 1.31-1.48). Submission-to-acceptance was by 35.85 days (95% CI: 32.25-39.45) shorter for COVID-19 articles. Public discussion of preprints was modest and COVID-19 articles were overrepresented in the pool of retracted articles in 2020. Current data suggest a preference for publication of COVID-19-related preprints over the observed period.The online version contains supplementary material available at 10.1007/s11192-021-04249-7.
13 citations
TL;DR: In this article, the authors presented an approach for the assessment of biogas potential from industrial residues and by-products, by taking into consideration spatial and seasonal variation of feedstock production.
12 citations
TL;DR: In addition to the traditional "pathways" of determining energy consumption - the paper discusses a new PZM cycle (Pawel Zajac Method) and the results of energy consumption from computer simulations made for "economic" speed are included.
TL;DR: It is demonstrated that including an optimized inerter in the isolator introduces instabilities in otherwise unconditionally stable active system and consequently deteriorates isolator performance, and proposed “optimum stable path” method is introduced via blending H2 optimization and Routh-Hurwitz stability criteria.
TL;DR: In this article , the authors used ultra-high-performance liquid chromatography (UHPLC) to analyze 5,080 samples from 1940 pre-, peri-, and postmenopausal women.
TL;DR: In this paper, the authors reviewed the pleiotropic beneficial effects of the stable gastric pentadecapeptide BPC 157, three very recent demonstrations that may be essential in the gut-brain and brain-gut axis operation, and therapy application in the central nervous system disorders, in particular.
TL;DR: In this article, a linear continuous optimization model was used for the energy system optimization and the non-linear problem for the power system analysis to compare different energy planning scenarios; further, this also offers the possibility for implementation assessment of the proposed scenarios.
TL;DR: In this article, a starting biomimetic chitosan/hydroxyapatite (CS/HA) powder was synthesized by a wet precipitation method using an abundant natural phosphate (NP) ore as raw material.
TL;DR: In this article, the authors assessed the benefits and risks of the fish consumption to balance the ingestion of healthy omega-3 fatty acids and adverse chemicals in six fish species from the Adriatic Sea.
TL;DR: In this paper , a coprecipitation method was used to obtain doped manganites with general formula A1-SrxMnO3 (A = Ca, Ba, La).
TL;DR: In this paper, the authors proposed the use of Generative Adversarial Networks for generating realistic ultrasonic images, which is the first one to show that a GAN is able to generate images indistinguishable from real ultrasonic image.
TL;DR: In this paper , the authors proposed a novel deep learning architecture designed specifically for defect detection from ultrasonic testing images, which improves the precision and efficiency of the detector. And they also modify the detection head to improve the detection of the objects with extreme aspect ratios which are common in ultrasonic images.
TL;DR: In this paper, a coprecipitation method was used to obtain doped manganites with general formula A1-SrxMnO3 (A = Ca, Ba, La).
26 Sep 2022
TL;DR: In this paper , the authors examined the prevalence and correlates of indicators consistent with Compulsive Sexual Behavior Disorder (CSBD) in a large (n = 4,633; 50.5% male; 49,5% female) probability-based German national sample.
Abstract: Abstract Background and aims The purpose of this study was to examine the prevalence and correlates of indicators consistent with Compulsive Sexual Behavior Disorder (CSBD)—defined and operationalized according to the ICD-11 guidelines—in a large ( n = 4,633; 50.5% male; 49,5% female) probability-based German national sample. Methods Participants were asked if they had ever experienced “intense and recurring sexual impulses or sexual urges that I had difficulty controlling and resulted in sexual behavior” over a period of several months. Those who reported this experience were queried about the associated distress. Results Overall, 4.9% of men [95% CI = 3.9–6.1] and 3.0% of women [95% CI = 2.3–3.9] reported experiences consistent with ICD-11 diagnostic requirements for lifetime diagnosis. In the 12 months preceding the study, 3.2% of men [95% CI = 2.4–4.2] and 1.8% of women [95% CI = 1.2–2.5] reported experiences consistent with CSBD requirements. Compared to controls and participants who reported elements of compulsive sexuality but without accompanying distress, strict religious upbringing was most prevalent in the CSBD group. The CSBD group was more likely to view sexual practices like men having sex with men as unacceptable and to report the belief that pornography has negative impacts on their sex life and life in general. Compared to the other two groups, the CSBD group was significantly more likely to have received psychiatric treatment for depression or another mental health problem during the past 12 months. Discussion and conclusions The current study provides novel and important insights into the prevalence and characteristics of CSBD in the general population.
TL;DR: The model of ethnification as mentioned in this paper posits that in post-socialist contexts ethnic identities are used as a source for political mobilization against ethnic outgroups, and this is further amplified in Croatia.
Abstract: The model of ethnification posits that in post-socialist contexts ethnic identities are used as a source for political mobilization against ethnic outgroups. In Croatia, this is further amplified b...
TL;DR: This paper showed that seasonality and overall vulnerability of a destination to tourism exert negative effects on the share of high-growth firms, consistent with recent findings of respective effects on housing affordability.
TL;DR: In this article , the potential use of resveratrol and its nanocrystals as antitumor agents in Ehrlich ascites tumour (EAT)-bearing mice and the interaction of nanocrystal with biological tissue through biochemical and histological changes of kidney, liver and EAT cells was investigated.
TL;DR: In this article , a linear continuous optimization model was used for the energy system optimization and the non-linear problem for the power system analysis to compare different energy planning scenarios; further, this also offers the possibility for implementation assessment of the proposed scenarios.
TL;DR: In this article , the results of the rapid post-earthquake assessment for a total of eight bridges, all located in or around the city of Glina, were presented.
Abstract: In December 2020, a strong earthquake occurred in Northwestern Croatia with a magnitude of ML = 6.3. The epicenter of this earthquake was located in the town of Petrinja, about 50 km from Zagreb, and caused severe structural damage throughout Sisak-Moslavina county. One of the biggest problems after this earthquake was the structural condition of the bridges, especially since most of them had to be used immediately for demolition, rescue, and the transport of mobile housing units in the affected areas. Teams of civil engineers were quickly formed to assess the damage and structural viability of these bridges and take necessary actions to make them operational again. This paper presents the results of the rapid post-earthquake assessment for a total of eight bridges, all located in or around the city of Glina. For the assessment, a visual inspection was performed according to a previously established methodology. Although most of the inspected bridges were found to be deteriorated due to old age and lack of maintenance, very few of them showed serious damage from the earthquake, with only one bridge requiring immediate strengthening measures and use restrictions. These measurements are also presented in this paper.
TL;DR: In this paper , the authors determined a development of humoral response after COVID-19 vaccination in persons with secondary progressive multiple sclerosis (pwSPMS) on siponimod, compared to healthy controls.
Abstract: The aim of this study is to determine a development of humoral response after COVID-19 vaccination in persons with secondary progressive multiple sclerosis (pwSPMS) on siponimod, compared to healthy controls (HC).In 13 pwSPMS taking siponimod and 11 HC, testing for SARS-CoV2 antibodies was performed after vaccination against COVID-19.pwSPMS taking siponimod had a significantly lower titer of SARS-CoV2 antibodies compared to healthy controls (19.4 (0-250) vs. 250 (250), p>0.001). Two (15.4%) pwSPMS on siponimod had unmeasurable titers of SARS-CoV2-2 antibodies, while all HC had positive titers.Although the results of this study are limited by a small sample size, results have consistently shown low titers of SARS-CoV-2 IgG after COVID-19 vaccinations in pwSPMS on siponimod.
TL;DR: In this paper, the impact of different offshore wind siting strategies on the design of the European power system is analyzed and compared within a realistic case study, and two variants of these siting schemes are provided, wherein the number of sites to be selected is specified on a country-by-country basis rather than Europe-wide.
TL;DR: In this paper, a dose-response principle may be applied to a complex crisis scenario, within a resilience-vulnerability framework, and a resilience framework model based on epidemiologic data and the interplay of several disasters; the COVID-19 pandemic and two 2020 Zagreb, Croatia earthquakes.