Search results

  1. 1.
    0574033 - ÚVGZ 2024 RIV DE eng J - Journal Article
    Wallach, D. - Palosuo, T. - Thorburn, P. - Mielenz, H. - Buis, S. - Hochman, Z. - Gourdain, E. - Andrianasolo, F. - Dumont, B. - Ferrise, R. - Gaiser, T. - Garcia, C. - Gayler, S. - Harrison, M. - Hiremath, S. - Horan, H. - Hoogenboom, G. - Jansson, P.-E. - Jing, Q. - Justes, E. - Kersebaum, Kurt Christian - Launay, M. - Lewan, E. - Liu, K. - Mequanint, F. - Moriondo, M. - Nendel, Claas … Total 40 authors
    Proposal and extensive test of a calibration protocol for crop phenology models.
    Agronomy for Sustainable Development. Roč. 43, č. 4 (2023), č. článku 46. ISSN 1774-0746. E-ISSN 1773-0155
    R&D Projects: GA MŠk(CZ) EF16_019/0000797
    Institutional support: RVO:86652079
    Keywords : crop model * prediction error * protocol * model ensemble * variability
    OECD category: Plant sciences, botany
    Impact factor: 7.300, year: 2022
    Method of publishing: Open access
    https://link.springer.com/article/10.1007/s13593-023-00900-0
    Permanent Link: https://hdl.handle.net/11104/0344394

               
     
     
  2. 2.
    0573945 - ÚI 2024 RIV CZ eng J - Journal Article
    Daniel, M. - Brabec, Marek - Malý, Marek - Danielová, V. - Vrablík, T.
    The influence of meteorological factors on the risk of tick-borne encephalitis infection.
    Epidemiologie, Mikrobiologie, Imunologie. Roč. 72, č. 2 (2023), s. 67-77. ISSN 1210-7913
    R&D Projects: GA ČR(CZ) GA22-24920S
    Institutional support: RVO:67985807
    Keywords : Tick-borne encephalitis * risk prediction * meteorological factors * generalized additive model * time-varying effects * distributed lag model * klíšťová encefalitida * predikce rizika * meteorologické faktory * zobecněný aditivní model (GAM) * časově proměnlivé účinky * dynamický model
    OECD category: Statistics and probability
    Impact factor: 0.500, year: 2022
    https://www.prolekare.cz/en/journals/epidemiology-microbiology-immunology/2023-2-15/the-influence-of-meteorological-factors-on-the-risk-of-tick-borne-encephalitis-infection-134590
    Permanent Link: https://hdl.handle.net/11104/0344329

               
     
     
  3. 3.
    0573320 - ÚFP 2024 RIV US eng J - Journal Article
    Saarelma, S. - Connor, J. W. - Bílková, Petra - Böhm, Petr - Field, A.R. - Frassinetti, L. - Fridström, R. - Kirk, A.
    Testing a prediction model for the H-mode density pedestal against JET-ILW pedestals.
    Nuclear Fusion. Roč. 63, č. 5 (2023), č. článku 052002. ISSN 0029-5515. E-ISSN 1741-4326
    EU Projects: European Commission(BE) 101052200
    Institutional support: RVO:61389021
    Keywords : density * jet * pedestal * prediction
    OECD category: Fluids and plasma physics (including surface physics)
    Impact factor: 3.300, year: 2022
    Method of publishing: Open access
    https://iopscience.iop.org/article/10.1088/1741-4326/acc084
    Permanent Link: https://hdl.handle.net/11104/0343783

               
     
     
  4. 4.
    0572433 - ÚVGZ 2024 RIV US eng J - Journal Article
    Poděbradská, Markéta - Wylie, B.K. - Hayes, M. J. - Bathke, D. - Bayissa, Y.A. - Boyte, S.P. - Brown, J.F. - Wardlow, B.
    Using seasonal climate scenarios in the ForageAhead annual forage production model for early drought impact assessment.
    Ecosphere. Roč. 14, č. 5 (2023), č. článku e4496. ISSN 2150-8925. E-ISSN 2150-8925
    R&D Projects: GA MŠk(CZ) EF16_019/0000797
    Institutional support: RVO:86652079
    Keywords : annual forage production * drought * forage model * forage prediction * ForageAhead * range decision-making * remote sensing * seasonal climate scenario
    OECD category: Ecology
    Impact factor: 2.700, year: 2022
    Method of publishing: Open access
    https://esajournals.onlinelibrary.wiley.com/doi/10.1002/ecs2.4496
    Permanent Link: https://hdl.handle.net/11104/0343119

               
     
     
  5. 5.
    0571666 - MBÚ 2024 RIV GB eng J - Journal Article
    Heames, B. - Buchel, F. - Aubel, M. - Tretyachenko, V. - Loginov, Dmitry Sergej - Novák, Petr - Lange, A. - Bornberg-Bauer, E. - Hlouchová, Klára
    Experimental characterization of de novo proteins and their unevolved random-sequence counterparts.
    Nature Ecology & Evolution. Roč. 7, č. 4 (2023), s. 570-580. ISSN 2397-334X. E-ISSN 2397-334X
    R&D Projects: GA MŠk(CZ) ED1.1.00/02.0109
    EU Projects: European Commission(XE) 823839 - EPIC-XS
    Research Infrastructure: CIISB II - 90127
    Institutional support: RVO:61388971 ; RVO:61388963
    Keywords : genetic selection * aggregation * prediction * evolution * signal
    OECD category: Microbiology; Biochemistry and molecular biology (UOCHB-X)
    Impact factor: 16.800, year: 2022
    Method of publishing: Open access
    https://www.nature.com/articles/s41559-023-02010-2
    Permanent Link: https://hdl.handle.net/11104/0343064

               
     
     
  6. 6.
    0571168 - ÚI 2024 RIV CH eng J - Journal Article
    Jajcay, Nikola - Bezák, B. - Segev, A. - Matetzky, S. - Janková, J. - Spartalis, M. - El Tahlawi, M. - Guerra, F. - Friebel, J. - Thevathasan, T. - Berta, I. - Pölzl, L. - Nägele, F. - Pogran, E. - Cader, F. A. - Jarakovic, M. - Gollmann-Tepeköylü, C. - Kollárová, M. - Petríková, K. - Tica, O. - Krychtiuk, K. A. - Tavazzi, G. - Skurk, C. - Huber, K. - Böhm, A.
    Data processing pipeline for cardiogenic shock prediction using machine learning.
    Frontiers in Cardiovascular Medicine. Roč. 10, 23 March 2023 (2023), č. článku 1132680. E-ISSN 2297-055X
    Institutional support: RVO:67985807
    Keywords : classification * machine learning * missing data imputation * processing pipeline * prediction model * cardiogenic shock
    OECD category: Cardiac and Cardiovascular systems
    Impact factor: 3.600, year: 2022
    Method of publishing: Open access
    https://dx.doi.org/10.3389/fcvm.2023.1132680
    Permanent Link: https://hdl.handle.net/11104/0342448

               
     
     
  7. 7.
    0570950 - ÚVGZ 2024 RIV US eng J - Journal Article
    Benáček, Patrik - Farda, Aleš - Štěpánek, Petr
    Postprocessing of Ensemble Weather Forecast Using Decision Tree-Based Probabilistic Forecasting Methods.
    Weather and Forecasting. Roč. 38, č. 1 (2023), s. 69-82. ISSN 0882-8156. E-ISSN 1520-0434
    R&D Projects: GA MŠk(CZ) EF16_019/0000797
    Institutional support: RVO:86652079
    Keywords : Ensembles * Probability forecasts * models * distribution * Short-range prediction * Decision trees * Machine learning
    OECD category: Meteorology and atmospheric sciences
    Impact factor: 2.900, year: 2022
    Method of publishing: Limited access
    https://journals.ametsoc.org/view/journals/wefo/38/1/WAF-D-22-0006.1.xml
    Permanent Link: https://hdl.handle.net/11104/0342284

               
     
     
  8. 8.
    0570912 - ÚCHP 2024 RIV US eng J - Journal Article
    Michálková, Lenka - Horník, Štěpán - Sýkora, J. - Setnička, V. - Bunganič, B.
    Prediction of Pathologic Change Development in the Pancreas Associated with Diabetes Mellitus Assessed by NMR Metabolomics.
    Journal of Proteome Research. Roč. 22, č. 6 (2023), s. 1936-1946. ISSN 1535-3893. E-ISSN 1535-3907
    Institutional support: RVO:67985858
    Keywords : pancreatic cancer * NMR metabolomics * diabetes mellitus * prediction of pathologic changes
    OECD category: Analytical chemistry
    Impact factor: 4.400, year: 2022
    Method of publishing: Open access
    https://pubs.acs.org/doi/pdf/10.1021/acs.jproteome.3c00047
    Permanent Link: https://hdl.handle.net/11104/0342241

               
    FileDownloadSizeCommentaryVersionAccess
    acs.jproteome.3c00047.pdf08.7 MBPublisher’s postprintopen-access
     
     
  9. 9.
    0570484 - ÚFM 2024 RIV GB eng J - Journal Article
    Poczklán, Ladislav - Polák, Jaroslav - Kruml, Tomáš
    Comparison of critical plane models based on multiaxial low-cycle fatigue tests of 316L steel.
    International Journal of Fatigue. Roč. 171, JUN (2023), č. článku 107569. ISSN 0142-1123. E-ISSN 1879-3452
    Institutional support: RVO:68081723
    Keywords : Austenitic steel 316L * Critical plane approach * Fatigue life prediction
    OECD category: Materials engineering
    Impact factor: 6.000, year: 2022
    Method of publishing: Limited access
    https://www.sciencedirect.com/science/article/pii/S0142112323000701?via%3Dihub
    Permanent Link: https://hdl.handle.net/11104/0341784

               
     
     
  10. 10.
    0569948 - ÚT 2024 RIV CZ cze V - Research Report
    Joch, Jaroslav
    Srovnání hodnocení přípustnosti trhlin podle R6, BS 7910, ASME XI a NDT ASI (ZP 92016 a příloha X k sekci IV) v oblastech předpokladů aplikovatelnosti, vstupních dat a charakterizace trhliny pro výpočet.
    [Defect acceptability according to procedures R6, BS 7910, ASME Xi, and NTD ASI, for given sets of assumptions, input data, and defect characterization.]
    Ústav termomechaniky AV ČR, v. v. i.: Státní úřad pro jadernou bezpečnost (SÚJB), 2020. 25 s. Z-1618/20.
    Source of funding: V - Other public resources
    Institutional support: RVO:61388998
    Keywords : fracture mechanics * structural assessment * pipelines * life prediction
    OECD category: Applied mechanics
    Permanent Link: https://hdl.handle.net/11104/0342431

               
     
     

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