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213 results on '"ŠIKOPARIJA, BRANKO"'

7. Towards European automatic bioaerosol monitoring: Comparison of 9 automatic pollen observational instruments with classic Hirst-type traps

Author

Maya-Manzano, José M., Tummon, Fiona, Abt, Reto, Allan, Nathan, Bunderson, Landon, Clot, Bernard, Crouzy, Benoît, Daunys, Gintautas, Erb, Sophie, Gonzalez-Alonso, Mónica, Graf, Elias, Grewling, Łukasz, Haus, Jörg, Kadantsev, Evgeny, Kawashima, Shigeto, Martinez-Bracero, Moises, Matavulj, Predrag, Mills, Sophie, Niederberger, Erny, Lieberherr, Gian, Lucas, Richard W., O'Connor, David J., Oteros, Jose, Palamarchuk, Julia, Pope, Francis D., Rojo, Jesus, Šaulienė, Ingrida, Schäfer, Stefan, Schmidt-Weber, Carsten B., Schnitzler, Martin, Šikoparija, Branko, Skjøth, Carsten A., Sofiev, Mikhail, Stemmler, Tom, Triviño, Marina, Zeder, Yanick, and Buters, Jeroen

Published
2023
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11. Bioaerosols on the atmospheric super highway: An example of long distance transport of Alternaria spores from the Pannonian Plain to Poland

Author

Grewling, Łukasz, Magyar, Donat, Chłopek, Kazimiera, Grinn-Gofroń, Agnieszka, Gwiazdowska, Julia, Siddiquee, Asad, Ianovici, Nicoleta, Kasprzyk, Idalia, Wójcik, Magdalena, Lafférsová, Janka, Majkowska-Wojciechowska, Barbara, Myszkowska, Dorota, Rodinkova, Victoria, Bortnyk, Mykyta, Malkiewicz, Małgorzata, Piotrowska-Weryszko, Krystyna, Sulborska-Różycka, Aneta, Rybniček, Ondrej, Ščevková, Jana, Šikoparija, Branko, Skjøth, Carsten Ambelas, Smith, Matt, and Bogawski, Paweł

Published
2022
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12. Melissopalynology analysis, determination of physicochemical parameters, sugars and phenolics in Maltese honey collected in different seasons

Author

Bugeja Douglas Adrian, Nešović Milica, Šikoparija Branko, Radišić Predrag, Tosti Tomislav, Trifković Jelena, Russi Luigi, Attard Everaldo, Tešić Živoslav, and Gašić Uroš

Subjects
melissopalynology, physicochemical parameters, chromatography, pca, eucalyptus, lotus, Chemistry, QD1-999
Abstract

Malta, a country renowned for its honey, has not been extensively mentioned in studies based on honey. In addition to many parameters, the collection period affects honey quality, precisely due to the different floral composition that exists during a certain season. Therefore, the significance of this study refers to the provision of data on honey from Malta collected during the autumn, spring, and summer seasons. Melissopalynological analysis, determination of physicochemical parameters, and the use of analytical chromatographic methods enabled detailed analysis of this honey. Principal component analysis (PCA) provided the differentiation of Maltese honey depending on the harvest season. Lotus pollen, followed by Eucalyptus, predominated in all honey samples. Characteristic compounds for summer honey were pinocembrin, galangin, kaempferol, chrysin, p-hydroxybenzoic acid, vanillic acid and maltotriose, while quercetin 3-O-galactoside, ferulic acid, ellagic acid, protocatechuic acid, luteolin 7-O-glucoside and melibiose were specific for autumn honey. A higher amount of p-coumaric acid, genistein, catechin, as well as the content of many sugars were found in spring samples. To the best of our knowledge, this is the first scientific work dealing with a detailed chemical analysis of Maltese honey

Published
2022
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13. Unusually high birch (Betula spp.) pollen concentrations in Poland in 2016 related to long-range transport (LRT) and the regional pollen occurrence

Author

Myszkowska, Dorota, Piotrowicz, Katarzyna, Ziemianin, Monika, Bastl, Maximilian, Berger, Uwe, Dahl, Åslög, Dąbrowska-Zapart, Katarzyna, Górecki, Artur, Lafférsová, Janka, Majkowska-Wojciechowska, Barbara, Malkiewicz, Małgorzata, Nowak, Małgorzata, Puc, Małgorzata, Rybnicek, Ondrej, Saarto, Annika, Šaulienė, Ingrida, Ščevková, Jana, Kofol Seliger, Andreja, Šikoparija, Branko, Piotrowska-Weryszko, Krystyna, and Czarnobilska, Ewa

Published
2021
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20. Near-ground effect of height on pollen exposure

Author

Rojo, Jesús, Oteros, Jose, Pérez-Badia, Rosa, Cervigón, Patricia, Ferencova, Zuzana, Gutiérrez-Bustillo, A. Monserrat, Bergmann, Karl-Christian, Oliver, Gilles, Thibaudon, Michel, Albertini, Roberto, Rodríguez-De la Cruz, David, Sánchez-Reyes, Estefanía, Sánchez-Sánchez, José, Pessi, Anna-Mari, Reiniharju, Jukka, Saarto, Annika, Calderón, M. Carmen, Guerrero, César, Berra, Daniele, Bonini, Maira, Chiodini, Elena, Fernández-González, Delia, García, José, Trigo, M. Mar, Myszkowska, Dorota, Fernández-Rodríguez, Santiago, Tormo-Molina, Rafael, Damialis, Athanasios, Kolek, Franziska, Traidl-Hoffmann, Claudia, Severova, Elena, Caeiro, Elsa, Ribeiro, Helena, Magyar, Donát, Makra, László, Udvardy, Orsolya, Alcázar, Purificación, Galán, Carmen, Borycka, Katarzyna, Kasprzyk, Idalia, Newbigin, Ed, Adams-Groom, Beverley, Apangu, Godfrey P., Frisk, Carl A., Skjøth, Carsten A., Radišić, Predrag, Šikoparija, Branko, Celenk, Sevcan, Schmidt-Weber, Carsten B., and Buters, Jeroen

Published
2019
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21. A temporally and spatially explicit, data-driven estimation of airborne ragweed pollen concentrations across Europe

Author

Makra, László, primary, Matyasovszky, István, additional, Tusnády, Gábor, additional, Ziska, Lewis H., additional, Hess, Jeremy J., additional, Nyúl, László G., additional, Chapman, Daniel S., additional, Coviello, Luca, additional, Gobbi, Andrea, additional, Jurman, Giuseppe, additional, Furlanello, Cesare, additional, Brunato, Mauro, additional, Damialis, Athanasios, additional, Charalampopoulos, Athanasios, additional, Müller-Schärer, Heinz, additional, Schneider, Norbert, additional, Szabó, Bence, additional, Sümeghy, Zoltán, additional, Páldy, Anna, additional, Magyar, Donát, additional, Bergmann, Karl-Christian, additional, Deák, Áron József, additional, Mikó, Edit, additional, Thibaudon, Michel, additional, Oliver, Gilles, additional, Albertini, Roberto, additional, Bonini, Maira, additional, Šikoparija, Branko, additional, Radišić, Predrag, additional, Josipović, Mirjana Mitrović, additional, Gehrig, Regula, additional, Severova, Elena, additional, Shalaboda, Valentina, additional, Stjepanović, Barbara, additional, Ianovici, Nicoleta, additional, Berger, Uwe, additional, Seliger, Andreja Kofol, additional, Rybníček, Ondřej, additional, Myszkowska, Dorota, additional, Dąbrowska-Zapart, Katarzyna, additional, Majkowska-Wojciechowska, Barbara, additional, Weryszko-Chmielewska, Elzbieta, additional, Grewling, Łukasz, additional, Rapiejko, Piotr, additional, Malkiewicz, Malgorzata, additional, Šaulienė, Ingrida, additional, Prykhodo, Olexander, additional, Maleeva, Anna, additional, Rodinkova, Victoria, additional, Palamarchuk, Olena, additional, Ščevková, Jana, additional, and Bullock, James M., additional

Published
2023
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23. Biogeographical drivers of ragweed pollen concentrations in Europe

Author

Matyasovszky, István, Makra, László, Tusnády, Gábor, Csépe, Zoltán, Nyúl, László G., Chapman, Daniel S., Sümeghy, Zoltán, Szűcs, Gábor, Páldy, Anna, Magyar, Donát, Mányoki, Gergely, Erostyák, János, Bodnár, Károly, Bergmann, Karl-Christian, Deák, Áron József, Thibaudon, Michel, Albertini, Roberto, Bonini, Maira, Šikoparija, Branko, Radišić, Predrag, Gehrig, Regula, Rybníček, Ondřej, Severova, Elena, Rodinkova, Victoria, Prikhodko, Alexander, Maleeva, Anna, Stjepanović, Barbara, Ianovici, Nicoleta, Berger, Uwe, Seliger, Andreja Kofol, Weryszko-Chmielewska, Elżbieta, Šaulienė, Ingrida, Shalaboda, Valentina, Yankova, Raina, Peternel, Renata, Ščevková, Jana, and Bullock, James M.

Published
2018
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25. Biogeographical estimates of allergenic pollen transport over regional scales: Common ragweed and Szeged, Hungary as a test case

Author

Makra, László, Matyasovszky, István, Tusnády, Gábor, Wang, Yaqiang, Csépe, Zoltán, Bozóki, Zoltán, Nyúl, László G., Erostyák, János, Bodnár, Károly, Sümeghy, Zoltán, Vogel, Heike, Pauling, Andreas, Páldy, Anna, Magyar, Donát, Mányoki, Gergely, Bergmann, Karl-Christian, Bonini, Maira, Šikoparija, Branko, Radišić, Predrag, Gehrig, Regula, Seliger, Andreja Kofol, Stjepanović, Barbara, Rodinkova, Victoria, Prikhodko, Alexander, Maleeva, Anna, Severova, Elena, Ščevková, Jana, Ianovici, Nicoleta, Peternel, Renata, and Thibaudon, Michel

Published
2016
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26. A temporally and spatially explicit, data-driven estimation of airborne ragweed pollen concentrations across Europe

Author

Makra, László, Matyasovszky, István, Tusnády, Gábor, Ziska, Lewis H., Hess, Jeremy J., Nyúl, László G., Chapman, Daniel S., Coviello, Luca, Gobbi, Andrea, Jurman, Giuseppe, Furlanello, Cesare, Brunato, Mauro, Damialis, Athanasios, Charalampopoulos, Athanasios, Müller-Schärer, Heinz, Schneider, Norbert, Szabó, Bence, Sümeghy, Zoltán, Páldy, Anna, Magyar, Donát, Bergmann, Karl-Christian, Deák, Áron József, Mikó, Edit, Thibaudon, Michel, Oliver, Gilles, Albertini, Roberto, Bonini, Maira, Šikoparija, Branko, Radišić, Predrag, Josipović, Mirjana Mitrović, Gehrig, Regula, Severova, Elena, Shalaboda, Valentina, Stjepanović, Barbara, Ianovici, Nicoleta, Berger, Uwe, Seliger, Andreja Kofol, Rybníček, Ondřej, Myszkowska, Dorota, Dąbrowska-Zapart, Katarzyna, Majkowska-Wojciechowska, Barbara, Weryszko-Chmielewska, Elzbieta, Grewling, Łukasz, Rapiejko, Piotr, Malkiewicz, Malgorzata, Šaulienė, Ingrida, Prykhodo, Olexander, Maleeva, Anna, Rodinkova, Victoria, Palamarchuk, Olena, Ščevková, Jana, Bullock, James M., Makra, László, Matyasovszky, István, Tusnády, Gábor, Ziska, Lewis H., Hess, Jeremy J., Nyúl, László G., Chapman, Daniel S., Coviello, Luca, Gobbi, Andrea, Jurman, Giuseppe, Furlanello, Cesare, Brunato, Mauro, Damialis, Athanasios, Charalampopoulos, Athanasios, Müller-Schärer, Heinz, Schneider, Norbert, Szabó, Bence, Sümeghy, Zoltán, Páldy, Anna, Magyar, Donát, Bergmann, Karl-Christian, Deák, Áron József, Mikó, Edit, Thibaudon, Michel, Oliver, Gilles, Albertini, Roberto, Bonini, Maira, Šikoparija, Branko, Radišić, Predrag, Josipović, Mirjana Mitrović, Gehrig, Regula, Severova, Elena, Shalaboda, Valentina, Stjepanović, Barbara, Ianovici, Nicoleta, Berger, Uwe, Seliger, Andreja Kofol, Rybníček, Ondřej, Myszkowska, Dorota, Dąbrowska-Zapart, Katarzyna, Majkowska-Wojciechowska, Barbara, Weryszko-Chmielewska, Elzbieta, Grewling, Łukasz, Rapiejko, Piotr, Malkiewicz, Malgorzata, Šaulienė, Ingrida, Prykhodo, Olexander, Maleeva, Anna, Rodinkova, Victoria, Palamarchuk, Olena, Ščevková, Jana, and Bullock, James M.

Abstract

Ongoing and future climate change driven expansion of aeroallergen-producing plant species comprise a major human health problem across Europe and elsewhere. There is an urgent need to produce accurate, temporally dynamic maps at the continental level, especially in the context of climate uncertainty. This study aimed to restore missing daily ragweed pollen data sets for Europe, to produce phenological maps of ragweed pollen, resulting in the most complete and detailed high-resolution ragweed pollen concentration maps to date. To achieve this, we have developed two statistical procedures, a Gaussian method (GM) and deep learning (DL) for restoring missing daily ragweed pollen data sets, based on the plant's reproductive and growth (phenological, pollen production and frost-related) characteristics. DL model performances were consistently better for estimating seasonal pollen integrals than those of the GM approach. These are the first published modelled maps using altitude correction and flowering phenology to recover missing pollen information. We created a web page (http://euragweedpollen.gmf.u-szeged.hu/), including daily ragweed pollen concentration data sets of the stations examined and their restored daily data, allowing one to upload newly measured or recovered daily data. Generation of these maps provides a means to track pollen impacts in the context of climatic shifts, identify geographical regions with high pollen exposure, determine areas of future vulnerability, apply spatially-explicit mitigation measures and prioritize management interventions.

Published
2023

27. Using Front-Face Fluorescence Spectroscopy and Biochemical Analysis of Honey to Assess a Marker for the Level of Varroa destructor Infestation of Honey Bee (Apis mellifera) Colonies

Author

Stanković, Mira, Prokopijević, Miloš, Šikoparija, Branko, Nedić, Nebojša, Andrić, Filip, Polović, Natalija, Natić, Maja, Radotić, Ksenija, Stanković, Mira, Prokopijević, Miloš, Šikoparija, Branko, Nedić, Nebojša, Andrić, Filip, Polović, Natalija, Natić, Maja, and Radotić, Ksenija

Abstract

Varroa destructor is a parasitic mite responsible for the loss of honey bee (Apis mellifera) colonies. This study aimed to find a promising marker in honey for the bee colony infestation level using fluorescence spectroscopy and biochemical analyses. We examined whether the parameters of the honey samples’ fluorescence spectra and biochemical parameters, both related to proteins and phenolics, may be connected with the level of honey bee colonies’ infestation. The infestation level was highly positively correlated with the catalase activity in honey (r = 0.936). Additionally, the infestation level was positively correlated with the phenolic spectral component (r = 0.656), which was tentatively related to the phenolics in honey. No correlation was found between the diastase activity in honey and the colonies’ infestation level. The results indicate that the catalase activity in honey and the PFC1 spectral component may be reliable markers for the V. destructor infestation level of the colonies. The obtained data may be related to the honey yield obtained from the apiaries.

Published
2023

28. Supplementary material for: Stanković, M., Prokopijević, M., Šikoparija, B., Nedić, N., Andrić, F., Polović, N., Natić, M.,& Radotić, K.. (2023). Using Front-Face Fluorescence Spectroscopy and Biochemical Analysis of Honey to Assess a Marker for the Level of Varroa destructor Infestation of Honey Bee (Apis mellifera) Colonies. in Foods, 12(3), 629. https://doi.org/10.3390/foods12030629

Author

Stanković, Mira, Prokopijević, Miloš, Šikoparija, Branko, Nedić, Nebojša, Andrić, Filip, Polović, Natalija, Natić, Maja, Radotić, Ksenija, Stanković, Mira, Prokopijević, Miloš, Šikoparija, Branko, Nedić, Nebojša, Andrić, Filip, Polović, Natalija, Natić, Maja, and Radotić, Ksenija

Abstract

Varroa destructor is a parasitic mite responsible for the loss of honey bee (Apis mellifera) colonies. This study aimed to find a promising marker in honey for the bee colony infestation level using fluorescence spectroscopy and biochemical analyses. We examined whether the parameters of the honey samples’ fluorescence spectra and biochemical parameters, both related to proteins and phenolics, may be connected with the level of honey bee colonies’ infestation. The infestation level was highly positively correlated with the catalase activity in honey (r = 0.936). Additionally, the infestation level was positively correlated with the phenolic spectral component (r = 0.656), which was tentatively related to the phenolics in honey. No correlation was found between the diastase activity in honey and the colonies’ infestation level. The results indicate that the catalase activity in honey and the PFC1 spectral component may be reliable markers for the V. destructor infestation level of the colonies. The obtained data may be related to the honey yield obtained from the apiaries.

Published
2023

29. Advanced CNN Architectures for Pollen Classification: Design and Comprehensive Evaluation.

Author

Matavulj, Predrag, Panić, Marko, Šikoparija, Branko, Tešendić, Danijela, Radovanović, Miloš, and Brdar, Sanja

Subjects
CONVOLUTIONAL neural networks, POLLEN, ERROR rates, QUALITY of life, TREATMENT effectiveness
Abstract

Allergenic pollen affects the quality of life for over 30% of the European population. Since the treatment efficacy is highly related to the actual exposure to pollen, information about the type and number of airborne pollen grains in real-time is essential for reducing their impact. Therefore, the automation of pollen monitoring has become an important research topic. Our study is focused on the Rapid-E real-time bioaerosol detector. So far, vanilla convolutional neural networks (CNNs) are the only deep architectures evaluated for pollen classification on multi-modal Rapid-E data obtained by exposing collected pollen samples of known classes to the device in a controlled environment. This study contributes to the further development of pollen classification models on Rapid-E data by experimenting with more advanced concepts of CNNs, residual, and inception networks. Our experiments included a comprehensive comparison of different CNN architectures, and obtained results provided valuable insights into which convolutional blocks improve pollen classification. We propose a new model which, coupled with a specific training strategy, improves the current state-of-the-art by reducing its relative error rate by 9%. [ABSTRACT FROM AUTHOR]

Published
2023
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32. Monitoring, Modelling and Forecasting of the Pollen Season

Author

Scheifinger, Helfried, Belmonte, Jordina, Buters, Jeroen, Celenk, Sevcan, Damialis, Athanasios, Dechamp, Chantal, García-Mozo, Herminia, Gehrig, Regula, Grewling, Lukasz, Halley, John M., Hogda, Kjell-Arild, Jäger, Siegfried, Karatzas, Kostas, Karlsen, Stein-Rune, Koch, Elisabeth, Pauling, Andreas, Peel, Roz, Sikoparija, Branko, Smith, Matt, Galán-Soldevilla, Carmen, Thibaudon, Michel, Vokou, Despina, de Weger, Letty A., Sofiev, Mikhail, editor, and Bergmann, Karl-Christian, editor

Published
2013
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34. Pollen Sources

Author

Skjøth, Carsten Ambelas, Šikoparija, Branko, Jäger, Siegfried, EAN-Network, Sofiev, Mikhail, editor, and Bergmann, Karl-Christian, editor

Published
2013
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35. Supplementary materials for Using Front-Face Fluorescence Spectroscopy and Biochemical Analysis of Honey to Assess a Marker for the Level of Varroa destructor Infestation of Honey Bee (Apis mellifera) Colonies

Author

Stanković, Mira, Prokopijević, Miloš, Šikoparija, Branko, Nedić, Nebojša, Andrić, Filip, Polović, Natalija, Natić, Maja, and Radotić, Ksenija

Subjects
biochemical analysis, Varroa destructor, honey, Apis mellifera, fluorescence spectroscopy
Abstract

Varroa destructor is a parasitic mite responsible for the loss of honey bee (Apis mellifera) colonies. This study aimed to find a promising marker in honey for the bee colony infestation level using fluorescence spectroscopy and biochemical analyses. We examined whether the parameters of the honey samples’ fluorescence spectra and biochemical parameters, both related to proteins and phenolics, may be connected with the level of honey bee colonies’ infestation. The infestation level was highly positively correlated with the catalase activity in honey (r = 0.936). Additionally, the infestation level was positively correlated with the phenolic spectral component (r = 0.656), which was tentatively related to the phenolics in honey. No correlation was found between the diastase activity in honey and the colonies’ infestation level. The results indicate that the catalase activity in honey and the PFC1 spectral component may be reliable markers for the V. destructor infestation level of the colonies. The obtained data may be related to the honey yield obtained from the apiaries.

Published
2023

44. Monitoring of fungal spores in the indoor air of preschool institution facilities in Novi Sad

Author

Novaković Milana S., Karaman Maja A., Radnović Dragan V., Radišić Predrag K., and Šikoparija Branko B.

Subjects
children, day care, fungi, indoor air, Preschool institution, spores, Science (General), Q1-390
Abstract

Fungal spores can cause a range of health problems in humans such as respiratory diseases and mycotoxicoses. Since children are the most vulnerable, the presence of fungal spores in the facilities of preschool and school institutions should be investigated readily. In order to estimate air contamination by fungal spores, air sampling was conducted in eight facilities of the preschool institution in Novi Sad during February and March, 2007. Sedimentation plate method was used for the detection of viable fungal spores, mostly being members of subdv. Deuteromycota (Fungi imperfecti). In 32 samples a total of 148 colonies were developed, among which five genera were identified: Penicillium, Cladosporium, Aspergillus, Alternaria and Acremonium while non-sporulating fungal colonies were labeled as sterile mycelia. Most frequently recorded genera were Penicillium with 46 colonies and Cladosporium with 44 colonies. The genera Aspergillus and Alternaria were represented with 3 colonies each and Acremonium with only 1 colony. The greatest number of colonies emerged in the samples from the day care facilities “Vendi” (58 colonies) and “Panda” (49 colonies). Most diverse samples were obtained from the day care center “Zvončica”, with presence of all identified genera. These results showed notable presence of fungal spores in the indoor air of Preschool institution facilities and indicated the need for further, more complete seasonal research. Obtained information is considered useful for the evaluation of potential mycofactors that endanger health of children. [Projekat Ministarstva nauke Republike Srbije, br. III43002]

Published
2013
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45. Characterization of preimaginal developmental stages of two cryptic South African species of the Merodon planifacies complex (Diptera: Syrphidae: Eristalinae: Merodontini), with differentiation through morphometry analysis

Author

Universidad de Alicante. Departamento de Ciencias Ambientales y Recursos Naturales, Aracil, Andrea, Ačanski, Jelena, Pérez-Bañón, Celeste, Šikoparija, Branko, Miličić, Marija, Campoy, Andrés, Radenković, Snezana, Vujić, Ante, Radišić, Predrag, Rojo, Santos, Universidad de Alicante. Departamento de Ciencias Ambientales y Recursos Naturales, Aracil, Andrea, Ačanski, Jelena, Pérez-Bañón, Celeste, Šikoparija, Branko, Miličić, Marija, Campoy, Andrés, Radenković, Snezana, Vujić, Ante, Radišić, Predrag, and Rojo, Santos

Abstract

Merodon capi Vujić et Radenković, 2020 and Merodon roni Radenković et Vujić, 2020 are two cryptic species belonging to the Merodon planifacies Bezzi, 1915 species complex that have recently been described, with the differences between them being revealed by molecular and geometric morphometry studies of adult specimens. In the present study, the preimaginal morphology of both species is described and displayed, with the material used corresponding to samples taken from bulbs of Merwilla plumbea (Lindl.) Speta plants at two locations in KwaZulu-Natal province (South Africa). The preimaginal stages were compared, looking for morphological evidence supporting species divergence. Linear and geometric morphometric analyses of the larval posterior respiratory process were conducted for the first time and the results of these analyses support the separation of the two taxa. Information about the life cycle and the relation with the host plant is also provided. In addition, we carried out a preliminary study of the adult feeding requirements of the species, based on the description of the mouthparts and an analysis of the pollen present in the gut and on the integument of adults. The results of the study supports a close relationship between the preimaginal stages and plant species of the Hyacinthaceae family.

Published
2022

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