Publications from Technical Sciences

Follow the latest publications from the Faculty of Technical Sciences. The overview shows the publications with the latest at the top.

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Zlatev, Z., Ebel, A., Georgiev, K. & Jose, R. S. (2008). Large scale computations in environmental modelling: Editorial introduction. Ecological Modelling, 217, 207-208.

Zlatev, Z., Ebel, A. & Georgiev, K. (2008). Editorial: large-scale computations in environmental modelling. International Journal of Environment and Pollution, 32(2), 135-138.

Zlatev, Z. & Moseholm, L. (2008). Impact of climate changes on pollution levels in Denmark. Ecological Modelling, 217(3-4), 305-319.

Zlatev, Z., Farago, I. & Simon, P. L. (2009). Large scale scientific computations: Editorial introduction. Journal of Computational and Applied Mathematics, 226, 187-189. https://doi.org/10.1016/j.cam.2008.08.010

Zlatev, Z. (2010). Impact of future climatic changes on high ozone levels in European suburban areas. Climatic Change, 101(3-4), 447-483. https://doi.org/10.1007/s10584-009-9699-7

Zlatev, Z., Farago, I. & Havasi, A. (2010). On Some Stability Properties of the Richardson Extrapolation Applied Together with the theta-Method. Lecture Notes in Computer Science, 5910, 54-66.

Zlatev, Z., Farago, I. & Havasi, A. (2010). Stability of the Richardson Extrapolation applied together with the theta-method. Journal of Computational and Applied Mathematics, 235(2), 507-517. https://doi.org/10.1016/j.cam.2010.05.052

Zlatev, Z. & Østerby, O. (1980). Absolute stability properties of the explicit linear 3-step formulae. Department of Computer Science, Aarhus University. DAIMI PB No. 124

Zlatev, Z., Dimov, I., Georgiev, K., Ostromsky, T., Faragó, I. & Havasi, Á. (2011). Richardson extrapolated numerical methods for treatment of one-dimensional advection equations. Lecture Notes in Computer Science, 6046 LNCS, 198-206. https://doi.org/10.1007/978-3-642-18466-6_23

Zlatev, Z., Faragó, I. & Havasi, Á. (2012). Richardson Extrapolation combined with the sequential splitting procedure and the θ-method. Central European Journal of Mathematics, 10, 159-172.

Zlatev, Z., Georgiev, K. & Dimov, I. (2013). Influence of climatic changes on pollution levels in the Balkan Peninsula. Computers & Mathematics with Applications, 65, 544-562. https://doi.org/10.1016/j.camwa.2012.07.006

Zlatev, Z., Dimov, I., Farago, I., Georgiev, K., Havasi, A. & Ostromsky, T. (2011). Solving advection equations by applying the crank-nicolson scheme combined with the richardson extrapolation. International Journal of Differential Equations, 2011, Article 520840. https://doi.org/10.1155/2011/520840

Zlatev, Z. & Georgiev, K. (2013). Applying approximate LU-factorizations as preconditioners in eight iterative methods for solving systems of linear algebraic equations. Central European Journal of Mathematics, 11(8), 1510-1530. https://doi.org/10.2478/s11533-013-0248-2

Zlatev, Z., Dimov, I., Farago, I., Georgiev, K., Havasi, A. & Ostromsky, T. (2013). Application of Richardson extrapolation with the Crank-Nicolson scheme for multi-dimensional advection. In J. Brandts, S. Korotov, M. Krizek, J. Sistek & T. Vejchodsky (Eds.), Applications of mathematics 2013: In honor of the 70th birthday of Karel Segeth. Proceedings of the International Conference held in Prague, May 15–17, 2013 (pp. 248-256). Academy of Sciences of the Czech Republic, Institute of Mathematics, Prague.

Zlatev, Z., Dimov, I., Faragó, I., Georgiev, K., Havasi, Á. & Ostromsky, T. (2014). Application of Richardson extrapolation for multi-dimensional advection equations. Computers & Mathematics with Applications, 67(12), 2279-2293. https://doi.org/10.1016/j.camwa.2014.02.028

Zlatev, Z., Georgiev, K. & Dimov, I. (2014). Studying absolute stability properties of the Richardson Extrapolation combined with explicit Runge-Kutta methods. Computers & Mathematics with Applications, 67(12), 2294-2307. https://doi.org/10.1016/j.camwa.2014.02.025

Zlatev, Z., Georgiev, K. & Dimov, I. (2014). Stability properties of explicit Runge-Kutta methods combined with Richardson extrapolation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8353 LNCS, pp. 428-435). Springer. https://doi.org/10.1007/978-3-662-43880-0_49

Zlatev, Z., Dimov, I. & Lirkov, I. (2016). Efficient numerical methods for large-scale scientific computations: Introduction. Journal of Computational and Applied Mathematics, 293, 1-6. https://doi.org/10.1016/j.cam.2015.05.001

Zlatev, Z., Dimov, I., Farago, I., Georgiev, K. & Havasi, A. (2017). Stability of the Richardson Extrapolation combined with some implicit Runge-Kutta methods. Journal of Computational and Applied Mathematics, 310, 224-240. https://doi.org/10.1016/j.cam.2016.03.018

Zlatev, Z. (2017). Numerical algorithms for scientific and engineering applications. Journal of Computational and Applied Mathematics, 310, 1-4. https://doi.org/10.1016/j.cam.2016.07.014

Zlatev, Z., Dimov, I., Georgiev, K. & Blaheta, R. (2018). Using advanced mathematical tools in complex studies related to climate changes and high pollution levels. In Large-Scale Scientific Computing - 11th International Conference, LSSC 2017, Revised Selected Papers (pp. 552-559). Springer. https://doi.org/10.1007/978-3-319-73441-5_61

Zlatev, Z., D'Ambra, P., Faragó, I., Shaydurov, V. & Vulkov, L. (2020). Advanced numerical methods for complex scientific and engineering problems: Editorial introduction. Journal of Computational and Applied Mathematics, 372, Article 112596. https://doi.org/10.1016/j.cam.2019.112596

Zlatev, Z., Dimov, I., Faragó, I., Georgiev, K. & Havasi, Á. (2020). Studying the Influence of Climate Changes on European Ozone Levels. In I. Lirkov & S. Margenov (Eds.), Large-Scale Scientific Computing (pp. 391-399). Springer. https://doi.org/10.1007/978-3-030-41032-2_45

Zlatev, Z., Dimov, I., Farago, I., Georgiev, K. & Havasi, A. (2020). Explicit Runge-Kutta Methods Combined with Advanced Versions of the Richardson Extrapolation. Computational Methods in Applied Mathematics, 20(4), 739-762. https://doi.org/10.1515/cmam-2019-0016

Zlatev, Z., Dimov, I., Farago, I., Georgiev, K. & Havasi, A. (2019). Advanced algorithms for studying the impact of climate changes on ozone levels in the atmosphere. International Journal of Environment and Pollution, 66(1-3), 212-238. https://doi.org/10.1504/IJEP.2019.104522

Zlatev, Z., Dimov, I., Faragó, I., Georgiev, K. & Havasi, Á. (2022). Efficient implementation of advanced Richardson Extrapolation in an atmospheric chemical scheme. Journal of Mathematical Chemistry, 60(1), 219-238. https://doi.org/10.1007/s10910-021-01300-z

Zlatev, Z., Dimov, I., Faragó, I., Georgiev, K. & Havasi, Á. (2022). Running an Atmospheric Chemistry Scheme from a Large Air Pollution Model by Using Advanced Versions of the Richardson Extrapolation. In I. Lirkov & S. Margenov (Eds.), Large-Scale Scientific Computing - 13th International Conference, LSSC 2021, Revised Selected Papers (pp. 188-197). Springer. https://doi.org/10.1007/978-3-030-97549-4_22

Zlatev, Z. & Dimov, I. (2022). Using a Digital Twin to Study the Influence of Climatic Changes on High Ozone Levels in Bulgaria and Europe. Atmosphere, 13(6), Article 932. https://doi.org/10.3390/atmos13060932

Ziv, A., Iakovleva, E., Palmgren, F., Berkowicz, R. & Skov, H. (1998). Comparison of the Path Average (DOAS) and Point Measurements at a Monitoring Station in Copenhagen. Poster session presented at FECS Conference on Chemistry and the Environment, Copenhagen, Denmark.

Ziv, A., Berkowicz, R., Iakovleva, E., Genikhovich, E. & Palmgren, F. (2002). Emission Factors for Russion Car Fleet Determined from Backward Dispersion Calculations: A Contribution to Subproject SATURN. Poster session presented at EUROTRAC-2 Symposium 2002, Garmisch-Partenkirchen, Germany.

Zito, D. & Lota, J. (2017). Guest Editorial 2017 Special Issue on CASS Regional Flagship Conferences. IEEE Transactions on Circuits and Systems Part 1: Regular Papers, 64(12), 3001-3002. Article 8119673. https://doi.org/10.1109/TCSI.2017.2765898

Zito, D. (2017). Prof. Sorin P. Voinigescu Gives Talk at Aarhus University. IEEE Solid-State Circuits Magazine, 9(4), 99-99. https://doi.org/10.1109/MSSC.2017.2746160

Zireeni, Y., Jones, D. L., Chadwick, D. R., Mäenpää, M. I. & Sørensen, P. (2025). Low-dose acidification of cattle slurry with sulfuric acid enhances oilseed-rape yield but risks elevated sulfide formation during prolonged storage. Science of the Total Environment, 970, Article 179014. https://doi.org/10.1016/j.scitotenv.2025.179014

Zira, S., Bouquet, A. E. R., Rydhmer, L., Kargo, M. & Puillet, L. (2023). Carbon footprint based on lifetime productivity for future cows selected for resilience to climate-related disturbances. Journal of Dairy Science, 106(12), 8953-8968. https://doi.org/10.3168/jds.2023-23492

Ziółkowska, E. & Topping, C. J. (2019). A modelling approach to evaluate the effectiveness of different mitigation strategies to reduce the negative effects of agricultural practices on biodiversity in the Netherlands: Final report within the framework of the project: "Developing and application of a methodology to assess impacts of pesticides on key ecosystem services. ResearchGate. https://doi.org/10.13140/RG.2.2.26088.93442

Ziółkowska, E., Tiktak, A. & Topping, C. J. (2022). Is the effectiveness of policy-driven mitigation measures on carabid populations driven by landscape and farmland heterogeneity? Applying a modelling approach in the Dutch agroecosystems. PLoS One, 17(12), Article e0279639. https://doi.org/10.1371/journal.pone.0279639

Ziółkowska, E., Bednarska, A., Laskowski, R. & Topping, C. J. (2023). The Formal Model for the solitary bee Osmia bicornis L. agent‑based model. Food and Ecological Systems Modelling Journal, 4, Article e102102. https://doi.org/10.3897/fmj.4.102102

Ziółkowska, E., Laskowski, R., Raja Dominic, A., Stein, S., Wenzel, B., Kehlenbeck, H., Riddervold, M. & Topping, C. J. (2024). Evaluating the impact of landscape structure and source-sink dynamics on non-target arthropod pesticide risk assessments in Germany. Umweltbundesamt. TEXTE Vol. 2024 No. 58 https://www.umweltbundesamt.de/sites/default/files/medien/11850/publikationen/58_2024_texte_elonta.pdf

Ziółkowska, E., Walczyńska, A. & Topping, C. J. (2025). The Formal Model for the hoverfly Eristalis tenax (Diptera, Syrphidae) agent-based model in the Animal Landscape and Man Simulation System (ALMaSS). Food and Ecological Systems Modelling Journal, 6, Article e152847. https://doi.org/10.3897/fmj.6.152847

Ziółkowska, E., Topping, C. J., Bednarska, A. & Laskowski, R. (2021). Supporting non-target arthropods in agroecosystems: modelling effects of insecticides and landscape structure on carabids in agricultural landscapes. Science of the Total Environment, 774, Article 145746. https://doi.org/10.1016/j.scitotenv.2021.145746

Zink, V., Lassen, J. & Stipková, M. (2010). Genetic Parameters of Female Fertility and Udder Conformation Traits in the Czech Holstein Cattle Population. In Abracts (pp. 193). Gesellschaft für Tierzuchtwissenschaften e. V..

Zink, V., Lassen, J. & Stipková, M. (2010). Genetic Parameters of Female Fertility and Udder Conformation Traits in the Czech Holstein Cattle Population. Poster session presented at World Congress on Genetics Applied to Livestock Production, WCGALP, Leipzig, Germany.

Zink, V., Stipkova, M. & Lassen, J. (2011). Genetic parameters for female fertility, locomotion, body condition score, and linear type traits in Czech Holstein cattle. Journal of Dairy Science, 94(10), 5176. https://doi.org/10.3168/jds.2010-3644

Zink, V., Lassen, J. & Štipkova, M. (2012). Genetic parameters for female fertility and milk production traits in first-parity Czech Holstein cows. Czech Journal of Animal Science, 57(3), 108-114.

Zink, V., Zavadilová, L., Lassen, J., Štipkova, M., Vacek, J. & Štolc, L. (2014). Analyses of genetic relationships between linear type traits, fat-to-protein ratio, milk production traits, and somatic cell count in first-parity Czech Holstein cows. Czech Journal of Animal Science, 59(12), 539-547. http://www.agriculturejournals.cz/publicFiles/138127.pdf

Zingone, A., Harrison, P. J., Kraberg, A. C., Michelson, M. J., Lehtinen, S., McQuatters-Gollop, A., O´Brien, T., Sun, J. & Jakobsen, H. (2015). Increasing the quality, comparability and accessibility of phytoplankton species composition time-series data. Estuarine, Coastal and Shelf Science, 162, 151-160. https://doi.org/10.1016/j.ecss.2015.05.024

Zingel, P., Cremona, F., Noges, T., Cao, Y., Neif, E. M., Coppens, J., Iskin, U., Lauridsen, T. L., Davidson, T. A., Sondergaard, M., Beklioglu, M. & Jeppesen, E. (2018). Effects of warming and nutrients on the microbial food web in shallow lake mesocosms. European Journal of Protistology, 64, 1-12. https://doi.org/10.1016/j.ejop.2018.03.001

Zingel, P., Jeppesen, E., Nõges, T., Hejzlar, J., Tavşanoğlu, Ü. N., Papastergiadou, E., Scharfenberger, U. & Agasild, H. (2023). Changes in nutrient concentration and water level affect the microbial loop: a 6-month mesocosm experiment. Aquatic Ecology, 57(2), 369-381. https://doi.org/10.1007/s10452-023-10015-z

Zingel, P., Boveri, M., Agasild, H. & Jeppesen, E. (2025). Preface: Secrets of shallow lakes—insights from research. Hydrobiologia, 852(2), 283-288. https://doi.org/10.1007/s10750-024-05741-w

Zimnoch-Guzowska, E., Colon, L. T., Nielsen, B. J., Darsow, U., Hansen, J. G. & Lees, A. K. (2005). The EUCABLIGHT late blight resistance database. In 16th Triennial Conference of the EAPR (pp. 220-222)

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