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  1. 1.
    0585986 - ÚTAM 2025 RIV CZ eng C - Conference Paper (international conference)
    Náprstek, Jiří - Fischer, Cyril
    Stochastic version of the arc-length method.
    Engineering mechanics 2024. Book of full texts. Brno: Brno University of Technology, 2024 - (Fuis, V.; Hájek, P.), s. 210-213. ISBN 978-80-214-6235-9. ISSN 1805-8248.
    [Engineering mechanics 2024 /30./. Milovy (CZ), 14.05.2024-16.05.2024]
    R&D Projects: GA ČR(CZ) GA24-13061S
    Institutional support: RVO:68378297
    Keywords : random imperfection * stochastic arc-length method * continuation * numerical method
    OECD category: Civil engineering
    Permanent Link: https://hdl.handle.net/11104/0353609
     
     
  2. 2.
    0584925 - SOÚ 2025 RIV CZ cze J - Journal Article
    Petrúšek, Ivan
    Využití víceúrovňových modelů při analýze kontextuálních efektů míry ekonomické aktivity na podporu přerozdělování v komparativních longitudinálních datech.
    [The Use of Multilevel Models in Analysing Contextual Effects of Labour Force Participation Rate on Redistribution Support with Comparative Longitudinal Survey Data.]
    Sociologický časopis / Czech Sociological Review. Roč. 60, č. 1 (2024), s. 67-93. ISSN 0038-0288. E-ISSN 0038-0288
    R&D Projects: GA MŠMT LTT20011; GA MŠMT LM2018139
    Institutional support: RVO:68378025
    Keywords : multilevel models * contextual effects * redistribution support * random effects * centring variables * comparative longitudinal data
    OECD category: Sociology
    Impact factor: 0.4, year: 2022
    Method of publishing: Open access
    https://sreview.soc.cas.cz/artkey/csr-202401-0003_the-use-of-multilevel-models-in-analysing-contextual-effects-of-labour-force-participation-rate-on-redistributi.php?l=cz
    Permanent Link: https://hdl.handle.net/11104/0352702
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    J_Petrusek_Vyuzití viceurovnovych modelu_csr_CSR-202401-0003.pdf0676.1 KBPublisher’s postprintopen-access
     

    Research data: Harward Dataverse
     
  3. 3.
    0583897 - GFÚ 2024 RIV NL eng J - Journal Article
    Liu, H. - Harris, J. - Sherlock, R. - Behnia, P. - Grunsky, E. - Naghizadeh, M. - Rubingh, K. - Tuba, G. - Roots, E. A. - Hill, Graham J.
    Mineral prospectivity mapping using machine learning techniques for gold exploration in the Larder Lake area, Ontario, Canada.
    Journal of Geochemical Exploration. Roč. 253, October (2023), č. článku 107279. ISSN 0375-6742. E-ISSN 1879-1689
    Institutional support: RVO:67985530
    Keywords : mineral prospectivity mapping (MPM) * machine learning * partial least-squares-discriminant analysis (PLS-DA) * Random Forest (RF) * Larder Lake area
    OECD category: Geology
    Impact factor: 3.9, year: 2022
    Method of publishing: Limited access
    https://www.sciencedirect.com/science/article/abs/pii/S0375674223001267
    Permanent Link: https://hdl.handle.net/11104/0351880
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    Liu2023JGeochemExploration.pdf119.4 MBPublisher’s postprintrequire
     
     
  4. 4.
    0583881 - ÚVGZ 2025 RIV NL eng J - Journal Article
    Jevšenak, J. - Klisz, M. - Mašek, J. - Čada, V. - Janda, P. - Svoboda, M. - Vostárek, O. - Treml, V. - van der Maaten, E. - Popa, A. - Popa, I. - Van der Maaten-Theunissen, M. - Zlatanov, T. - Scharnweber, T. - Ahlgrimm, S. - Stolz, J. - Sochová, Irena - Roibu, C. C. - Pretzsch, H. - Schmied, G. - Uhl, E. - Kaczka, R. - Wrzesiński, P. - Šenfeldr, M. - Jakubowski, M. - Tumajer, J. - Wilmking, M. - Obojes, N. - Rybníček, Michal - Lévesque, M. - Potapov, A. - Basu, S. - Stojanović, Marko - Stjepanović, S. - Vitas, A. - Arnič, D. - Metslaid, S. - Neycken, A. - Prislan, P. - Hartl, C. - Ziche, D. - Horáček, Petr - Krejza, Jan - Mikhailov, Sergei - Světlík, Jan - Kalisty, A. - Kolář, Tomáš - Lavnyy, V. - Hordo, M. - Oberhuber, W. - Levanič, T. - Mészáros, I. - Schneider, L. - Lehejček, J. - Shetti, R. - Bošeľa, M. - Copini, P. - Koprowski, M. - Sass-Klaassen, U. - Izmir, Ş. C. - Bakys, R. - Entner, H. - Esper, Jan - Janecka, K. - Martinez del Castillo, E. - Verbylaite, R. - Árvai, M. - de Sauvage, J. C. - Čufar, K. - Finner, M. - Hilmers, T. - Kern, Z. - Novak, K. - Ponjarac, R. - Puchałka, R. - Schuldt, B. - Škrk Dolar, N. - Tanovski, V. - Zang, C. - Žmegač, A. - Kuithan, C. - Metslaid, M. - Thurm, E. - Hafner, P. - Krajnc, L. - Bernabei, M. - Bojić, S. - Brus, R. - Burger, A. - D'Andrea, E. - Đorem, T. - Gławęda, M. - Gričar, J. - Gutalj, M. - Horváth, E. - Kostić, S. - Matović, B. - Merela, M. - Miletić, B. - Morgós, A.
    Incorporating high-resolution climate, remote sensing and topographic data to map annual forest growth in central and eastern Europe.
    Science of the Total Environment. Roč. 913, FEB (2024), č. článku 169692. ISSN 0048-9697. E-ISSN 1879-1026
    R&D Projects: GA MŠMT LM2023048; GA TA ČR(CZ) TO01000345; GA ČR GA23-07583S
    Institutional support: RVO:86652079
    Keywords : ndmi * ndre * Random forest * Sentinel-1 * Sentinel-2 * Tree rings
    OECD category: Remote sensing
    Impact factor: 9.8, year: 2022
    Method of publishing: Open access
    https://www.sciencedirect.com/science/article/pii/S0048969723083225?ref=pdf_download&fr=RR-2&rr=8612eccecfc1b353
    Permanent Link: https://hdl.handle.net/11104/0351873
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    1-s2.0-S0048969723083225-main.pdf511 MBPublisher’s postprintopen-access
     
     
  5. 5.
    0582341 - ÚVGZ 2024 RIV CZ eng J - Journal Article
    Švecová, M. - Štípková, Zuzana - Traxmandlová, Iva - Kindlmann, Pavel
    Difficulties in determining distribution of population sizes within different orchid metapopulations.
    European Journal of Environmental Sciences. Roč. 13, č. 2 (2023), s. 96-109. ISSN 1805-0174
    Research Infrastructure: CzeCOS IV - 90248
    Institutional support: RVO:86652079
    Keywords : cypripedium-calceolus * area * distribution of population sizes * metapopulations * orchids * random migration
    OECD category: Ecology
    Impact factor: 0.8, year: 2022
    Method of publishing: Open access
    https://ejes.cz/index.php/ejes/article/view/1107/377
    Permanent Link: https://hdl.handle.net/11104/0350453
     
     
  6. 6.
    0581051 - ÚI 2024 RIV US eng J - Journal Article
    Griffiths, S. - Koch, Ch. - Secco, Matheus
    Deviation probabilities for arithmetic progressions and irregular discrete structures.
    Electronic Journal of Probability. Roč. 28, č. 2023 (2023), č. článku 172 (s. 1-31). ISSN 1083-6489. E-ISSN 1083-6489
    R&D Projects: GA ČR(CZ) GJ20-27757Y
    Institutional support: RVO:67985807
    Keywords : arithmetic progressions * hypergraphs * Martingales * Moderate deviations * Random processes
    OECD category: Pure mathematics
    Impact factor: 1.4, year: 2022
    Method of publishing: Open access
    https://doi.org/10.1214/23-EJP1012
    Permanent Link: https://hdl.handle.net/11104/0349622
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    0581051-aoa.pdf2806.3 KBOA CC BY 4.0Publisher’s postprintopen-access
     
     
  7. 7.
    0580545 - MÚ 2024 RIV US eng J - Journal Article
    Feireisl, Eduard - Lukáčová-Medviďová, M.
    Convergence of a stochastic collocation finite volume method for the compressible Navier-Stokes system.
    Annals of Applied Probability. Roč. 33, č. 6A (2023), s. 4936-4963. ISSN 1050-5164
    R&D Projects: GA ČR(CZ) GA21-02411S
    Institutional support: RVO:67985840
    Keywords : finite volume method * multielement probabilistic collocation method * random compressible Navier-Stokes system
    OECD category: Pure mathematics
    Impact factor: 1.8, year: 2022
    Method of publishing: Limited access
    https://doi.org/10.1214/23-AAP1937
    Permanent Link: https://hdl.handle.net/11104/0349306
    FileDownloadSizeCommentaryVersionAccess
    Feireisl13.pdf0926.5 KBPublisher’s postprintrequire
     
     
  8. 8.
    0580367 - ÚCHP 2025 RIV GB eng J - Journal Article
    Malaspina, D.C. - Lísal, Martin - Larentzos, J.P. - Brennan, J.K. - Mackie, A.D. - Bonet Avalos, J.
    Green–Kubo expressions for transport coefficients from dissipative particle dynamics simulations revisited.
    Physical Chemistry Chemical Physics. Roč. 26, č. 2 (2024), s. 1328-1339. ISSN 1463-9076. E-ISSN 1463-9084
    Grant - others:ARO(US) W911NF-20-2-0227; ARO(US) W911NF-20-2-0203
    Institutional support: RVO:67985858
    Keywords : conservative * dissipative and random interactions * Einstein–Helfand formulas * stress tensor
    OECD category: Physical chemistry
    Impact factor: 3.3, year: 2022
    Method of publishing: Limited access
    Permanent Link: https://hdl.handle.net/11104/0349155
    FileDownloadSizeCommentaryVersionAccess
    0580367.pdf01.2 MBPublisher’s postprintrequire
     
     
  9. 9.
    0579756 - ÚI 2025 RIV US eng J - Journal Article
    Campos Araújo, Pedro - Hladký, Jan - Hng, Eng Keat - Šileikis, Matas
    Prominent examples of flip processes.
    Random Structures and Algorithms. Roč. 64, č. 3 (2024), s. 692-740. ISSN 1042-9832. E-ISSN 1098-2418
    R&D Projects: GA ČR(CZ) GX21-21762X; GA ČR(CZ) GJ20-27757Y
    Institutional support: RVO:67985807
    Keywords : differential equation * graph limit * graph process * random graph processes
    OECD category: Pure mathematics
    Impact factor: 1, year: 2022
    Method of publishing: Open access
    https://doi.org/10.1002/rsa.21192
    Permanent Link: https://hdl.handle.net/11104/0348552
     
     
  10. 10.
    0579061 - ÚOCHB 2024 RIV GB eng J - Journal Article
    Hlouchová, Klára
    Toxin rescue by a random sequence.
    Nature Ecology & Evolution. Roč. 7, č. 12 (2023), s. 1963-1964. ISSN 2397-334X. E-ISSN 2397-334X
    Institutional support: RVO:61388963
    Keywords : random sequences * protein evolution * de novo proteins
    OECD category: Biochemistry and molecular biology
    Impact factor: 16.8, year: 2022
    Method of publishing: Limited access
    https://doi.org/10.1038/s41559-023-02252-0
    Permanent Link: https://hdl.handle.net/11104/0347937
     
     

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