University of Belgrade
  • Belgrade, Serbia
Recent publications
Apart from traditional medicine use, the fruit of Lycium barbarum L., known as red goji berry or wolfberry, is recognized and consumed as a functional food. Beyond nutritional properties, goji berry exerts many biological activities and health-promoting effects due to wide-range phytochemicals. Rising global popularity and high demand have spread the production of goji berries from traditional Asian regions into various parts of the world. In addition, other native species, as Lycium ruthenicum Murr., or black goji berry, also have been started to generate attention by the scientific community as a valuable source of nutritional and functional components. This chapter reviews data on nutritional value and bioactive compounds of red and black goji berries from different regions, highlighting the influence of many pre-harvest and post-harvest factors that affect their chemical compositions, sensory quality, and bioactivities.
Here, we report a very sensitive, non-contact, ratio-metric, and robust luminescence-based temperature sensing using a combination of conventional photoluminescence (PL) and negative thermal quenching (NTQ) mechanisms of semiconductor BiFeO 3 (BFO) nanowires. Using this approach, we have demonstrated the absolute thermal sensitivity of ~ 10 mK ⁻¹ over the 300–438 K temperature range and the relative sensitivity of 0.75% K ⁻¹ at 300 K. Further, we have validated thermal sensitivity of BFO nanowires quantitatively using linear regression and analytical hierarchy process (AHP) and found close match with the experimental results. These results indicated that BFO nanowires are excellent candidates for developing high‐performance luminescence-based temperature sensors. Graphical abstract
This study aimed to identify functional neuroimaging patterns anticipating the clinical indication for deep brain stimulation (DBS) in patients with Parkinson’s disease (PD). A cohort of prospectively recruited patients with PD underwent neurological evaluations and resting-state functional MRI (RS-fMRI) at baseline and annually for 4 years. Patients were divided into two groups: 19 patients eligible for DBS over the follow-up and 41 patients who did not meet the criteria to undergo DBS. Patients selected as candidates for DBS did not undergo surgery at this stage. Sixty age- and sex-matched healthy controls performed baseline evaluations. Graph analysis and connectomics assessed global and local topological network properties and regional functional connectivity at baseline and at each time point. At baseline, network analysis showed a higher mean nodal strength, local efficiency, and clustering coefficient of the occipital areas in candidates for DBS over time relative to controls and patients not eligible for DBS. The occipital hyperconnectivity pattern was confirmed by regional analysis. At baseline, a decreased functional connectivity between basal ganglia and sensorimotor/frontal networks was found in candidates for DBS compared to patients not eligible for surgery. In the longitudinal analysis, patient candidate for DBS showed a progressively decreased topological brain organization and functional connectivity, mainly in the posterior brain networks, and a progressively increased connectivity of basal ganglia network compared to non-candidates for DBS. RS-fMRI may support the clinical indication to DBS and could be useful in predicting which patients would be eligible for DBS in the earlier stages of PD.
The accurate simulation of additional interactions at the ATLAS experiment for the analysis of proton–proton collisions delivered by the Large Hadron Collider presents a significant challenge to the computing resources. During the LHC Run 2 (2015–2018), there were up to 70 inelastic interactions per bunch crossing, which need to be accounted for in Monte Carlo (MC) production. In this document, a new method to account for these additional interactions in the simulation chain is described. Instead of sampling the inelastic interactions and adding their energy deposits to a hard-scatter interaction one-by-one, the inelastic interactions are presampled, independent of the hard scatter, and stored as combined events. Consequently, for each hard-scatter interaction, only one such presampled event needs to be added as part of the simulation chain. For the Run 2 simulation chain, with an average of 35 interactions per bunch crossing, this new method provides a substantial reduction in MC production CPU needs of around 20%, while reproducing the properties of the reconstructed quantities relevant for physics analyses with good accuracy.
The ATLAS experiment at the Large Hadron Collider has a broad physics programme ranging from precision measurements to direct searches for new particles and new interactions, requiring ever larger and ever more accurate datasets of simulated Monte Carlo events. Detector simulation with Geant4 is accurate but requires significant CPU resources. Over the past decade, ATLAS has developed and utilized tools that replace the most CPU-intensive component of the simulation—the calorimeter shower simulation—with faster simulation methods. Here, AtlFast3, the next generation of high-accuracy fast simulation in ATLAS, is introduced. AtlFast3 combines parameterized approaches with machine-learning techniques and is deployed to meet current and future computing challenges, and simulation needs of the ATLAS experiment. With highly accurate performance and significantly improved modelling of substructure within jets, AtlFast3 can simulate large numbers of events for a wide range of physics processes.
Background Mucopolysaccharidoses (MPS) are a group of lysosomal storage disorders caused by defects in genes coding for different lysosomal enzymes which degrade glycosaminoglycans. Impaired lysosomal degradation causes cell dysfunction leading to progressive multiorgan involvement, disabling consequences and poor life expectancy. Enzyme replacement therapy (ERT) is now available for most MPS types, offering beneficial effects on disease progression and improving quality of life of patients. The landscape of MPS in Europe is not completely described and studies on availability of treatment show that ERT is not adequately implemented, particularly in Southern and Eastern Europe. In this study we performed a survey analysis in main specialist centers in Southern and Eastern European countries, to outline the picture of disease management in the region and understand ERT implementation. Since the considerable number of MPS IVA patients in the region, particularly adults, the study mainly focused on MPS IVA management and treatment. Results 19 experts from 14 Southern and Eastern European countries in total responded to the survey. Results outlined a picture of MPS management in the region, with a high number of MPS patients managed in the centers and a high level of care. MPS II was the most prevalent followed by MPS IVA, with a particular high number of adult patients. The study particularly focused on management and treatment of MPS IVA patients. Adherence to current European Guidelines for follow-up of MPS IVA patients is generally adequate, although some important assessments are reported as difficult due to the lack of MPS skilled specialists. Availability of ERT in Southern and Eastern European countries is generally in line with other European regions, even though regulatory, organizational and reimbursement constrains are demanding. Conclusions The landscape of MPS in Southern and Eastern European countries is generally comparable to that of other European regions, regarding epidemiology, treatment accessibility and follow up difficulties. However, issues limiting ERT availability and reimbursement should be simplified, to start treatment as early as possible and make it available for more patients. Besides, educational programs dedicated to specialists should be implemented, particularly for pediatricians, clinical geneticists, surgeons, anesthesiologists and neurologists.
The 7th Cardiovascular Outcome Trial (CVOT) Summit on Cardiovascular, Renal, and Glycemic Outcomes, was held virtually on November 18–19, 2021. Pursuing the tradition of the previous summits, this reference congress served as a platform for in-depth discussion and exchange on recently completed CVOTs. This year’s focus was placed on the outcomes of EMPEROR-Preserved, FIGARO-DKD, AMPLITUDE-O, SURPASS 1–5, and STEP 1–5. Trial implications for diabetes and obesity management and the impact on new treatment algorithms were highlighted for endocrinologists, diabetologists, cardiologists, nephrologists, and general practitioners. Discussions evolved from outcome trials using SGLT2 inhibitors as therapy for heart failure, to CVOTs with nonsteroidal mineralocorticoid receptor antagonists and GLP-1 receptor agonists. Furthermore, trials for glycemic and overweight/obesity management, challenges in diabetes management in COVID-19, and novel guidelines and treatment strategies were discussed. Trial registration The 8th Cardiovascular Outcome Trial Summit will be held virtually on November 10–11, 2022 ( )
Background Since the outbreak of the coronavirus disease 2019 (COVID-19), an increasing number of Guillain–Barré syndrome (GBS) cases following the infection has been reported. The aim of our study was to detect patients with GBS treated in our hospital over a 1-year period and to compare the characteristics and outcomes of those triggered by COVID-19 with the rest of GBS patients. Our prospective study included 29 patients who were diagnosed with GBS from March 2020 to March 2021. Based on the preceding event, patients were stratified as post-COVID-19 and non-COVID-19. The GBS disability scale (GDS) was used to assess functional disability. Results We identified 10 (34.5%) patients with post-COVID-19 GBS and 19 (65.5%) patients with non-COVID-19 GBS. The median time from the preceding event to the symptoms onset was longer in post-COVID-19 than in non-COVID-19 GBS patients ( p = 0.04). However, the time from the symptom onset to the nadir did not differ ( p = 0.12). GDS at admission, as well as at nadir, did not differ between these two groups. The level of proteinorrachia was higher in post-COVID-19 GBS patients ( p = 0.035). The most frequent subtype of GBS in both groups was acute inflammatory demyelinating polyneuropathy (AIDP). GDS score at discharge ( p = 0.56) did not differ between two study groups. Conclusions There was no difference in clinical and electrophysiological features, disease course, and outcome in post-COVID-19 compared with non-COVID-19 GBS patients.
The goal of this study was to determine the capacity of Pleurotus spp. lignocellulosome to transform frequent pomiculture residues (grapevine-, plum-, and raspberry sawdust) into raw materials for biotechnological processes. All three lignocellulosics induced the synthesis of ligninolytic and cellulolytic enzymes in the tested species. Laccase was dominant in the ligninolytic cocktail, with a maximum activity of 40,494.88 U L ⁻¹ observed after the cultivation of P. pulmonarius on grapevine sawdust. Grapevine sawdust also proved to be the optimal substrate for the synthesis of versatile peroxidases especially in P. eryngii (1010.10 U L ⁻¹ ), while raspberry sawdust favored the production of Mn-dependent peroxidase in P. pulmonarius (479.17 U L ⁻¹ ). P. pulmonarius was the dominant cellulolytic agent and raspberry sawdust was optimal for the synthesis of xylanases, and endo- and exo-cellulases (15,746.35 U L ⁻¹ , 9741.56 U L ⁻¹ , and 836.62 U L ⁻¹ ), while grapevine sawdust mostly induced β-glucosidase activity (166.11 U L ⁻¹ ). The degree of residues delignification was more substrate- than species-dependent, ranging between 6.44 and 23.72% after the fermentation of grapevine and raspberry sawdust with P. pulmonarius . On the other hand, the lowest level of cellulose consumption was also observed on raspberry sawdust after the cultivation of P. eryngii , which together with high delignification also induced the highest selectivity index (1.27). The obtained results show the exceptional lignocellulolytic potential of Pleurotus spp. enzyme cocktails which opens up many possibilities for their application in numerous biotechnological processes. Graphical Abstract
Background The implementation of the Sustainable Development Goals (SDGs) requires much planning and the provision of resources, especially regarding the necessary investments, technologies and infrastructures needed. Yet, it is presently unclear how available these elements are, what gaps exist, what changes have taken place in terms of their availability since the adoption of the SDGs and what their requirements will be in the future. The knowledge gap has become even more concerning because of the impact of the COVID-19 pandemic. Using a bibliometric analysis, an assessment of the global progress of SDG implementation and requirements, identifying challenges through the development of a matrix, and a set of 11 case studies to triangulate the holistic analysis, an assessment of the global progress of the SDGs implementation and the impact of the COVID-19 pandemic on this process was carried out. Results The findings suggest that the scope and width of resources limitation are currently undermining the implementation of the SDGs. Apart from the fact that the pace of progress has been insufficient, the potential of the SDGs in pursuing sustainability and improving life quality is not fully realised. This trend suggests that a substantial acceleration of the efforts is needed, especially for the five SDGs whose progress since 2015 has not been optimal, namely SDG2, SDG11, SDG13, SDG15, and SDG16, while SDG3, SDG7, SDG9, SDG14, and SDG17 show signs of progress. The case studies showed that different industries have dissimilar effects on achieving the SDGs, with the food sector correlating with 15 SDGs, as opposed to the energy sector correlating with 6 SDGs. Accordingly, the priority level assessment in terms of achieving the SDGs, points to the need to further advance the above-mentioned five SDGs, i.e., 2, 11, 13, 15 and 16. Conclusions This study fills in a knowledge gap in respect of the current need for and availability of investments, new technologies, and infrastructures to allow countries to pursue the SDGs. It is suggested that this availability is rather limited in specific contexts. In respect of the needs to be addressed, these include resource-related constraints, limited technologies and infrastructures, affecting SDG2, SDG11, SDG13, SDG15, and SDG16, whose progress needs to be enhanced. Since the global progress in the process of implementation of the SDGs depends directly and indirectly on addressing the resource gaps, it is suggested that this topic be further investigated, so that the present imbalances in the three dimensions of sustainable development: the economic, social and environmental, be adequately addressed.
A novel approach for rapid 89,90Sr determination in seawater samples is developed. For the first time in the radioanalytical application, the features of the synthetic zeolite Z4A and a highly selective material for Sr separation were synergically employed. Seawater composition significantly reduces Sr yield on highly selective solid-phase extraction materials, making the preconcentration step essentially important but laborious and time-consuming. To address this issue, the ability of zeolite 4A to concentrate the Sr from the seawater matrix was employed. With the proposed method, two important goals were achieved: (i) simple preconcentration of Sr that can be conducted directly at the sampling site, enabling a rapid procedure for 89,90Sr determination in emergencies, and (ii) high and stable Sr recoveries (89 ± 4%) necessary for lowering detection limits. Strontium is effectively separated from 1 L of seawater in less than 1.5 h, which is especially important in emergency situations, such as the Fukushima Daiichi Nuclear Power Plant accident. Minimum detectable activities achieved for ⁸⁹Sr:⁹⁰Sr activity ratio ∼10:1 were 0.74 Bq/L for ⁸⁹Sr, and 1.47 Bq/L for ⁹⁰Sr, detected by Cherenkov counting, 36–38 h after separation, and 30 min counting time.
The paper presents the dynamic thermal model of shell-type transformers. The data from heat run test and field operation of single-phase shell-type transformer 512 kV / 13.8 kV / 13.8 kV, 100 / 50 / 50 MVA, with oil directed air forced (ODAF) cooling, and 9 built-in fibre-optics sensors, are used for the development and testing of the model. Starting model was standard IEC model with parameters determined from heat run test and transformer field operation data. For the computations supporting software in C# was developed, whereas Microsoft Solver Foundation (MSF) library was used for the estimation of the parameters from the recorded values during thermal transients. The following improvements of the IEC model were introduced: a) the dependence of the losses on the temperature, b) correction of top oil temperature rise based on ambient temperature and c) correction of hot-spot to top oil temperature difference depending on top oil temperature. The paper proposes a method based on the application of the safety margins, which guarantees the measured temperatures will be lower than calculated in high temperature region. The testing of the method was performed on one-year data set from transformer operation. © 2017 Elsevier Inc. All rights reserved.
Cymbopogon martinii is an aromatic crop cultivated for the production of its essential oil (EO) which has different applications. Bearing in mind that C. martinii EO (CMEO) has already been proved for high antibacterial potential the aim of this study was to formulate stable CMEO nanoemulsions, being capable to combat Enterococcus faecalis biofilm, especially within infected tooth’s root canal. Ten emulsions with variable CMEO content (2.5–10 % v/v) and Tween 80 (T80, 2.5–15 % v/v) were formulated (designated as ECMEO:T80) and screened for volume-weighted mean diameter (D4,3) and stability, using dynamic light scattering measurements. Chemical composition of stable nanoemulsions was monitored by UV–VIS and FTIR, while their antibacterial activity was estimated in microdilution assay. Antibiofilm properties of selected nanoemulsions were tested in vitro (cristal violet assay) and ex vivo (within root canals of the extracted teeth). Results showed that formulations containing 10 % of T80 and CMEO volume ≤ 6 %, as well as those having constant 2.5 % of CMEO and variable T80 volume (≤ 10%), namely E2.5:2.5, E2.5:5, E2.5:7.5, E2.5:10, E4:10, and E6:10, were stable and nanosized (D4,3 <100 nm). FTIR and UV–VIS analyses confirmed successful encapsulation of the CMEO by T80 and showed that nanoemulsification did not affect CMEO composition. Evaluation of antibacterial potential showed that the most efficient were E6:10, E2.5:2.5 and E4:10 (MIC values 0.37–1.97 mg mL⁻¹). Analysis of dependency of determined MICs on mean diameter and CMEO volume showed that antibacterial potential increased with both parameters. E6:10, E2.5:2.5 and E4:10 also reduced in vitro biofilm (inhibitory range 17.6–58.4 %), as well as intracanal biofilm (reduction ~2Log CFU). Presented results suggest E6:10, E4:10 and E2.5:2.5 as the good candidates for further research.
Centaurium erythraea, used as medical plant from the earliest times, is an immense depot of quite rare bioactive compounds. Secoiridoids (sweroside, swertiamarin, and gentiopicrin) and xanthones (methylbellidifolin and decussatin) are predominant bioactive compounds in C. erythraea. The present study aims at providing new insights into how the content of these bioactive principles can be related with plant ploidy level by characterizing possible differences in their biosynthesis and accumulation between diploid and tetraploid genotypes from both spatial and temporal aspects. In general, shoots are determined as the major site of secoiridoids’ and xanthones’ accumulation, whose ratio vary during the development. Genes involved in iridoid and xanthone metabolic pathways were found to be coordinately regulated at the transcriptional level both during the development and among organs. Biosynthetic gene expression levels were found highly correlated with the content of major compounds from these two classes. Diversification in chemical profiles between tetraploid and diploid genotypes may result from the expression difference between homologous loci correspondent to several key biosynthetic genes, which trigger changes in the two metabolic routes. Thus, enhanced expression of genes coding for geraniol synthase (GES), 8-hydroxygeraniol oxidoreductase (8HGO), and 7-deoxyloganic acid hydrolase (7DLH2) is strongly associated with intensive production of iridoids. Interestingly, transcript levels of beta-glucosidase (CebGLU), a candidate to catalyze the first step in the secoiridoid catabolism, is significantly positively correlated with the content of major secoiridoids. Elevated expression of genes coding for benzophenone synthase (BS) and 3-hydroxybenzoate:CoA ligase (3HBL) appear to account for enhanced production of hexa-substituted xanthones. Regarding content of iridoids and xanthones, a diploid genotype appeared to be more productive than a tetraploid genotype under controlled in vitro conditions, therewithal displaying significantly higher biomass.
Room-temperature far-infrared reflectivity spectra of nanocrystalline, partially inverse MgFe2O4 were investigated. MgFe2O4 samples were prepared by sol-gel method and sintered at three different temperatures (400, 600 and 800 °C). Raman spectroscopy was employed to estimate the degree of inversion in the sintered samples. The degree of inversion was found to increase from 0.52 to 0.74 as the sintering temperature increased from 400 °C to 800 °C. The reflectivity spectra, besides the four infrared modes characteristic for spinels (ν1, ν2, ν3, ν4), revealed the presence of free carriers. Plasmon-longitudinal optical (LO) phonon interaction was analyzed using factorized coupled and decoupled plasmon-phonon models, combined with the Bruggeman effective medium approximation. From these models it was obtained that the ν1 and ν3 phonon modes are more strongly coupled with plasmons than the ν2 mode. A potential mechanism of plasmon-phonon interaction in inverse MgFe2O4 spinel has been discussed.
Transition metal (TM) ion activated phosphors are increasingly being used as probes for luminescence thermometry. Their luminescence is characterized by strong absorption and emission bands that span the visible and near-infrared spectral ranges and are highly susceptible to temperature variations. Due to the latter characteristic, sensitive and reliable remote temperature measurements can be performed by observing temperature-induced changes in TM ion emission intensities, emission bandwidths and bandshifts, and excited state lifetimes, as well as the temperature dependences of the intensity ratios between various emission bands in single or double activated phosphors. This review provides a systematic analysis of the performances of luminescent thermometers based on different TM ions and discusses the relations among the TM spectroscopic properties, characteristics of the host material structure, and thermometric performance. Particular attention is given to the engineering of energy transfer between TM and other dopant ions to obtain highly sensitive thermometers. Finally, several typical application examples from recent literature are highlighted.
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8,403 members
Tanja Vukov
  • Department of evolutionary biology (IBISS)
Ljubiša Stanisavljević
  • Department of Invertebrate Zoology and Entomology
Ivica Bradaric
  • Vinca Institute of Nuclear Science
Veljko Djokic
  • Department of Chemical Engineering
Студентски трг 1, 11000, Belgrade, Serbia
Head of institution
Владимир Бумбаширевић
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