Košík

    1.
    0616622 - ÚPT 2025 GB eng A - Abstrakt
    Müllerová, Ilona - Konvalina, Ivo - Paták, Aleš - Průcha, Lukáš - Piňos, Jakub - Zouhar, Martin - Materna Mikmeková, Eliška
    Scanning Low Energy Electron Microscopy and Time-of-Flight Spectroscopy Capabilities for Study of Advanced 2D Materials and Thin Foils.
    Microscopy and Microanalysis. Cambridge University Press. Roč. 30, S1 (2024), s. 652-653. ISSN 1431-9276. E-ISSN 1435-8115.
    [Microscopy & Microanalysis 2024. Annual Meeting Microscopy Society of America /82./ Annual Meeting Microanalysis Society /58./. 28.07.2024-01.08.2024, Cleveland]
    Grant CEP: GA TA ČR(CZ) TN02000020; GA ČR(CZ) GA22-34286S
    Institucionální podpora: RVO:68081731
    Klíčová slova: scanning low energy electron microscopy * time-of-flight spectroscopy * graphene * EELS spectra * 2D materials
    Obor OECD: Electrical and electronic engineering
    Web výsledku:
    https://academic.oup.com/mam/article/30/Supplement_1/ozae044.309/7720445DOI: https://doi.org/10.1093/mam/ozae044.309
    Trvalý link: https://hdl.handle.net/11104/0363611
     
    2.
    0570880 - ÚPT 2024 RIV GB eng J - Journal Article
    Shamaei, Amirmohammad - Starčuková, Jana - Starčuk jr., Zenon
    Physics-informed deep learning approach to quantification of human brain metabolites from magnetic resonance spectroscopy data.
    Computers in Biology Medicine. Roč. 158, May (2023), č. článku 106837. ISSN 0010-4825. E-ISSN 1879-0534
    R&D Projects: GA MŠMT(CZ) EF18_046/0016045; GA MŠMT(CZ) LM2018129; GA MŠMT(CZ) LM2023050
    EU Projects: European Commission(XE) 813120 - INSPiRE-MED
    Institutional support: RVO:68081731
    Keywords : MR spectroscopy * Inverse problem * Deep learning * Machine learning * Convolutional neural network * Metabolite quantification
    OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
    Impact factor: 7, year: 2023 ; AIS: 1.255, rok: 2023
    Method of publishing: Open access
    Result website:
    https://www.sciencedirect.com/science/article/pii/S0010482523003025DOI: https://doi.org/10.1016/j.compbiomed.2023.106837
    Permanent Link: https://hdl.handle.net/11104/0342210
     
    FileDownloadSizeCommentaryVersionAccess
    2023_Shamaei_ComputersInBiologyMedicine.pdf58.6 MBOA - CC BY 4.0 https://creativecommons.org/licenses/by/4.0/Publisher’s postprintopen-access
     
    Research data: Zenodo
    3.
    0310565 - ÚGN 2009 RIV CZ eng J - Journal Article
    Sysala, Stanislav
    Unirateral Elastic subsoil of Winklerś type: Semi-coercive beam problem.
    [Jednostranné elastické podloží Winklerova typu: Semikoercivní úloha s nosníkem.]
    Applications of Mathematics. Roč. 53, č. 4 (2008), s. 347-379. ISSN 0862-7940. E-ISSN 1572-9109
    Institutional research plan: CEZ:AV0Z30860518
    Keywords : semi-coercive beam problem * finite element method * numerical quadrature
    Subject RIV: BA - General Mathematics
    Result website:
    www.springeronline.com/10492
    Permanent Link: http://hdl.handle.net/11104/0162391
     
    4.
    0102650 - NHU-N 20043105 RIV US eng J - Journal Article
    Janda, K. - Münich, Daniel
    The intra-industry trade of the Czech Republic in the economic transition.
    [Meziodvětvový obchod České republiky během ekonomické transformace.]
    Emerging Markets Finance and Trade. Roč. 40, č. 2 (2004), s. 27-50. ISSN 1540-496X. E-ISSN 1558-0938
    R&D Projects: GA ČR GA403/03/0340
    Institutional research plan: CEZ:AV0Z7085904
    Keywords : economic transition * intra-industry trade * labor
    Subject RIV: AH - Economics
    Impact factor: 0.200, year: 2004
    Result website:
    http://search.ebscohost.com/login.aspx?direct=true&db=bth&AN=12888376&site=ehost-live
    Permanent Link: http://hdl.handle.net/11104/0009997
     
    5.
    0424647 - ÚIACH 2014 CZ eng D - Dizertace
    Vykydalová, Marie
    The use of separation methods for characterization of microorganisms.
    Ústav analytické chemie AV ČR, v. v. i. Obhájeno: Brno. 29.01.2014. - Brno: Masaryk university, Faculty of Science, 2014. 109 s.
    Grant CEP: GA MŠMT(CZ) EE2.3.20.0182
    Institucionální podpora: RVO:68081715
    Klíčová slova: separation methods * electrophoretic techniques * high performance liquid chromatography * microorganism
    Kód oboru RIV: CB - Analytická chemie, separace
    Trvalý link: http://hdl.handle.net/11104/0230693
     
    Název souboruStaženoVelikostKomentářVerzePřístup
    0424647.pdf36.4 MBVydavatelský postprintvyžádat
     

  Tyto stránky využívají soubory cookies, které usnadňují jejich prohlížení. Další informace o tom jak používáme cookies.

Přijmout všeNastaveníOdmítnout vše