➞ Publikacje ➞ 2024

2024

  1. Forecasting SARS-COV-2 epidemic dynamic in Poland with the PDYN agent-based model
    Karol Niedzielewski, Rafał P. Bartczuk, Natalia Bielczyk, Dominik Bogucki, Filip Dreger, Grzegorz Dudziuk, Łukasz Górski, Magdalena Gruziel-Słomka, Jędrzej Haman, Artur Kaczorek, Jan Kisielewski, Bartosz Krupa, Antoni Moszyński, Jędrzej M. Nowosielski, Maciej Radwan, Marcin Semeniuk, Urszula Tymoszuk, Jakub Zieliński, Franciszek Rakowski
    Epidemics, Volume 49, 2023, 100801;
    https://doi.org/10.1016/j.epidem.2024.100801
  2. Towards Achilles Tendon Injury Prevention in Athletes with Structural MRI Biomarkers: A Machine Learning Approach
    Kapinski, N., Jaskulski, K., Witkowska, J. et al.
    Sports Med – Open 10, 118 (2024);
    https://doi.org/10.1186/s40798-024-00786-6
  3. Loss of pre-stress in impregnated superconducting magnets, experimental results and numerical analysis
    R. Ortwein, J.C. Perez, D. Pszenny
    Cryogenics, Volume 141, 2024; 103893         
    https://doi.org/10.1016/j.cryogenics.2024.103893
  4. What do we manipulate when reminding people of (not) having control? In search of construct validity
    Bukowski, M., Potoczek, A., Barzykowski, K. et al.
    Behav Res 56, 3706–3724 (2024);
    https://doi.org/10.3758/s13428-023-02326-8
  5. Chaos in Opinion-Driven Disease Dynamics
    Götz, T.; Krüger, T.; Niedzielewski, K.; Pestow, R.; Schäfer, M.; Schneider, J.
    Entropy 2024, 26(4), 298;
    https://doi.org/10.3390/e26040298
  6. Modelling of Drug-Induced Liver Injury with Multiple Machine Learning Algorithms
    Lesiński, W., Golińska, A.K., Rudnicki, W.R.
    In: Nguyen, NT., et al. Advances in Computational Collective Intelligence. ICCCI 2024. Communications in Computer and Information Science, vol 2166. Springer, Cham.; https://doi.org/10.1007/978-3-031-70259-4_33
  7. Spatio-temporal mechanisms of consolidation, recall and reconsolidation in reward-related memory trace
    Hamed, A., Kursa, M.B., Mrozek, W. et al.
    Mol Psychiatry (2024);
    https://doi.org/10.1038/s41380-024-02738-8
  8. Indicators of biochemical control of diabetes mellitus during limited availability of health service in the context of hypoglycemic therapy
    Kleibert M, Mrozikiewicz-Rakowska B, Korycka K, Płachta I, Bąk PM, Bałut D, Zieliński J, Zgliczyński W.
    Wiad Lek. 2024;77(7):1318-1324;
    https://doi.org/10.36740/wlek202407103
  9. EnsembleFS: an R Toolkit and a Web-Based Tool for a Filter Ensemble Feature Selection of Molecular Omics Data
    Polewko-Klim, A., Grablis, P., Rudnicki, W.
    In: Franco, L., de Mulatier, C., Paszynski, M., Krzhizhanovskaya, V.V., Dongarra, J.J., Sloot, P.M.A. (eds) Computational Science – ICCS 2024. ICCS 2024. Lecture Notes in Computer Science, vol 14835. Springer, Cham.;
    https://doi.org/10.1007/978-3-031-63772-8_7
  10. Exploring explainable AI in the tax domain
    Górski, Ł., Kuźniacki, B., Almada, M. et al.
    Artif Intell Law (2024);
    https://doi.org/10.1007/s10506-024-09395-w
  11. United as one? Personal and social identity threats differentially predict cooperation and prejudice toward minorities
    Bukowski, M., de Lemus, S., Potoczek, A., Sankaran, S., Petkanopoulou, K., Montañés Muro, M. P., … Tausch, N.
    Self and Identity, 23(1–2), 95–126;
    https://doi.org/10.1080/15298868.2024.2336939
  12. What do we manipulate when reminding people of (not) having control? In search of construct validity
    Bukowski, M., Potoczek, A., Barzykowski, K., Lautenbacher, J., Inzlicht, M.
    Behavior Research Methods;
    https://link.springer.com/article/10.3758/s13428-023-02326-8
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