Publikationer fra Technical Sciences

Følg med i de senest publicerede videnskabelige artikler fra Faculty of Technical Sciences. Oversigten viser fakultetets publikationer med de nyeste øverst.

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Zlatev, Z., Keller, J. (red.) & Andreani-Aksojoglu, S. (red.) (2001). Long-Term Computations with the Danish Eulerian Model. I J. Keller & S. Andreani-Aksojoglu (red.), Proceedings of the 5th GLOREAM Workshop, Hotel Regina, CH-3823 Wengen, Switzerland, September 24-26, 2001 Paul Scherrer Institut. General Energy Research. Laboratory of Atmospheric Chemistry. http://people.web.psi.ch/keller_j/GLOREAM/WS2001/Final/Zlatev.pdf

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 Report Series (DAIMI PB) Nr. 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, Artikel 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. I J. Brandts, S. Korotov, M. Krizek, J. Sistek & T. Vejchodsky (red.), 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 (s. 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. I Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Bind 8353 LNCS, s. 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. I Large-Scale Scientific Computing - 11th International Conference, LSSC 2017, Revised Selected Papers (s. 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, Artikel 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. I I. Lirkov & S. Margenov (red.), Large-Scale Scientific Computing (s. 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. I I. Lirkov & S. Margenov (red.), Large-Scale Scientific Computing - 13th International Conference, LSSC 2021, Revised Selected Papers (s. 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), Artikel 932. https://doi.org/10.3390/atmos13060932

Zlatev, Z., Brandt, J., Eliassen, A., Hov, Ø., Berg, T. (red.) & Schaug, J. (red.) (1994). Comparison of Results Obtained by a Large-Scale Eulerian Model with Measurements.

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 præsenteret på FECS Conference on Chemistry and the Environment, Copenhagen, Danmark.

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 præsenteret på EUROTRAC-2 Symposium 2002, Garmisch-Partenkirchen, Tyskland.

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. Artikel 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, Artikel 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), Artikel 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, Artikel 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. 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, Artikel e152847. https://doi.org/10.3897/fmj.6.152847

Ziółkowska, E., Sowa, G., Duan, X. & Topping, C. J. (2026). The Formal Model for the hoverfly Sphaerophoria scripta (Diptera, Syrphidae) agent-based model in the Animal Landscape and Man Simulation System (ALMaSS). Food and Ecological Systems Modelling Journal, 7, Artikel e169793. https://doi.org/10.3897/fmj.7.169793

Ziółkowska, E., Jaśkowiec, B., Groom, G. B. & Topping, C. J. (2026). Development of a spatio-temporal representation of agricultural landscapes as the modelling environment for spatially explicit agent-based models in the Animal Landscape and Man Simulation System (ALMaSS). Agricultural and Environmental Modelling (AEM), 8(e167439). https://doi.org/10.3897/aem.8.167439

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, Artikel 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. I Abracts (s. 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 præsenteret på World Congress on Genetics Applied to Livestock Production, WCGALP, Leipzig, Tyskland.

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

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