Search results

  1. 1.
    0585930 - ÚI 2025 RIV PT eng C - Conference Paper (international conference)
    Kolárik, Tomáš - Ratschan, Stefan - Surynek, P.
    Multi-Agent Path Finding with Continuous Time Using SAT Modulo Linear Real Arithmetic.
    Proceedings of the 16th International Conference on Agents and Artificial Intelligence (Volume 1). Setubal: SCitePress, 2024 - (Rocha, A.; Steels, L.; an den Herik, J.), s. 47-58. ISBN 978-989-758-680-4. ISSN 2184-433X.
    [ICAART 2024: International Conference on Agents and Artificial Intelligence /16./. Rome (IT), 24.02.2024-26.02.2024]
    R&D Projects: GA ČR(CZ) GA21-09458S
    Institutional support: RVO:67985807
    Keywords : Multi-Agent Path Finding * Satisfiability Modulo Theories
    OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
    https://doi.org/10.5220/0012379700003636
    Permanent Link: https://hdl.handle.net/11104/0353563
    FileDownloadSizeCommentaryVersionAccess
    0585930-oaf.pdf1305.5 KBOA CC BY-NC-ND 4.0Publisher’s postprintopen-access
     
     
  2. 2.
    0584487 - ÚOCHB 2025 RIV US eng J - Journal Article
    Mallik, R. - Saha, M. - Sarmah, Amrit - Singh, V. - Mohan, H. - Bhat, P. - Kumaran, S. S. - Mukherjee, C.
    A Bis(Aquated) Mn(II)-Based MRI Contrast Agent with a Rigid Hydroquinazoline Unit: Synthesis, Characterization, and in Vivo MR Imaging Study.
    ACS Applied Bio Materials. Roč. 7, č. 3 (2024), s. 1831-1841. E-ISSN 2576-6422
    Institutional support: RVO:61388963
    Keywords : magnetic resonance imaging * MRI contrast agent * manganese(II) complex * rigid complex * blood pool contrast agent * bis (aquated) * lipophilicity * serum albumin affinity
    Impact factor: 4.7, year: 2022
    Method of publishing: Limited access
    https://doi.org/10.1021/acsabm.3c01236
    Permanent Link: https://hdl.handle.net/11104/0352401
     
     
  3. 3.
    0582961 - BC 2024 RIV US eng J - Journal Article
    Penjarla, S. - Reddy, P.Y. - Penta, S. - Sanghvi, Y.S. - Eyer, Luděk - Štefánik, M. - Krátká, Z. - Růžek, Daniel - Banerjee, S.
    Synthesis and Antiviral Activity of 2′-Modified L-Nucleoside Analogues.
    ChemistrySelect. Roč. 8, č. 48 (2023), č. článku e202303585. ISSN 2365-6549. E-ISSN 2365-6549
    R&D Projects: GA MŠMT(CZ) LTAUSA18016
    Institutional support: RVO:60077344
    Keywords : scale synthesis * pyrimidine * uridine * Antiviral Agent * L-2, 2'-anhydrouridine * L-Arabinose * Cytotoxicity * L-Nucleoside
    OECD category: Microbiology
    Impact factor: 2.1, year: 2022
    Method of publishing: Limited access
    https://chemistry-europe.onlinelibrary.wiley.com/doi/10.1002/slct.202303585
    Permanent Link: https://hdl.handle.net/11104/0351001
     
     
  4. 4.
    0582617 - NHU-C 2024 RIV US eng J - Journal Article
    Brom, C. - Diviák, T. - Drbohlav, J. - Korbel, V. - Levínský, René - Neruda, R. - Kadlecová, G. - Šlerka, J. - Šmíd, M. - Trnka, J. - Vidnerová, P.
    Rotation-based schedules in elementary schools to prevent COVID-19 spread: a simulation study.
    Scientific Reports. Roč. 13, č. 1 (2023), č. článku 19156. ISSN 2045-2322. E-ISSN 2045-2322
    Institutional support: Cooperatio-COOP
    Keywords : agent-based model * covid-19 * epidemiological modelling
    OECD category: Applied Economics, Econometrics
    Impact factor: 4.6, year: 2022
    Method of publishing: Open access
    https://doi.org/10.1038/s41598-023-45788-8
    Permanent Link: https://hdl.handle.net/11104/0350701
     
     
  5. 5.
    0579986 - MBÚ 2024 RIV US eng J - Journal Article
    Pourali, Parastoo - Dzmitruk, Volha - Benada, Oldřich - Svoboda, Milan - Benson, Veronika
    Conjugation of microbial-derived gold nanoparticles to different types of nucleic acids: evaluation of transfection efficiency.
    Scientific Reports. Roč. 13, September 6 (2023), s. 14669. ISSN 2045-2322. E-ISSN 2045-2322
    R&D Projects: GA MŠMT(CZ) EH22_010/0002357; GA MŠMT(CZ) LM2018127
    Research Infrastructure: CIISB II - 90127
    Institutional support: RVO:61388971 ; RVO:86652036 ; RVO:68081715
    Keywords : gold nanoparticles * capping agent * biosynthesis * nucleic acid transfection * drug carriers
    OECD category: Microbiology
    Impact factor: 4.6, year: 2022
    Method of publishing: Open access
    https://www.nature.com/articles/s41598-023-41567-7
    Permanent Link: https://hdl.handle.net/11104/0348880
     
     
  6. 6.
    0579578 - ÚCHP 2024 RIV CZ cze L - Prototype, f. module
    Šolcová, Olga - Kaštánek, František - Rousková, Milena - Šabata, Stanislav - Wimmerová, L. - Sochatcki, A.
    Funkční vzorek hydrolyzátu ze živočišných odpadů modifikovaný aditivy pro odstranění těžkých kovů ze zemin TN02000044/7-V2.
    [A functional sample of animal waste hydrolyzate modified with additives for the removal of heavy metals from soils TN02000044/7-V2.]
    Internal code: hydrolyzát pro odstranění těžkých kovů ; 2023
    Technical parameters: Funkční vzorek hydrolyzátu z odpadní živočišné biomasy modifikovaný aditivy kyselinou citronovou a/nebo thiomočovinou je chelatační činidlo aplikovatelné pro selektivní odstranění těžkých kovů z tuhých porézních matric jako jsou půdy a sedimenty. Chelatační činidlo podle technického řešení je schopné vázat ionty těžkých kovů, přičemž je složené ze směsi biologicky odbouratelných látek (např. aminokyseliny, peptidy, triacylglyceroly aj.), jejichž zbytkový obsah v matrici, zejména je-li matricí půda, může působit jako nutrient. Důležitou vlastností produktu je také synergie funkčních skupin molekul látek obsažených v produktu, tj. v hydrolyzátu, kyselině citronové a/nebo thiomočovině, které zajišťují vysokou účinnost vázat kovy a vyplavit je z tuhých matric.
    Economic parameters: Odpadní živočišná biomasa je velmi levnou vstupní surovinou pro chelatační činidlo umožňující odstranění těžkých kovů ze zemin i jiných matric. Uplatnění tohoto materiálu je velmi široké.
    R&D Projects: GA TA ČR(CZ) TN02000044
    Institutional support: RVO:67985858
    Keywords : chelating agent * metal removal * waste animal biomass
    OECD category: Chemical process engineering
    Permanent Link: https://hdl.handle.net/11104/0348387
    FileDownloadSizeCommentaryVersionAccess
    TN02000044_07_V2.docx01 MBAuthor’s postprintrequire
     
     
  7. 7.
    0578058 - ÚI 2024 RIV US eng J - Journal Article
    Brom, C. - Diviák, T. - Drbohlav, J. - Korbel, Václav - Levínský, René - Neruda, Roman - Kadlecová, Gabriela - Šlerka, J. - Šmíd, Martin - Trnka, J. - Vidnerová, Petra
    Rotation-based schedules in elementary schools to prevent COVID-19 spread: a simulation study.
    Scientific Reports. Roč. 13, č. 1 (2023), č. článku 19156. ISSN 2045-2322. E-ISSN 2045-2322
    Institutional support: RVO:67985807 ; RVO:67985556 ; RVO:67985998
    Keywords : agent-based model * covid-19 * epidemiological modelling * SEIR
    OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8); Applied Economics, Econometrics (NHU-N); Statistics and probability (UTIA-B)
    Impact factor: 4.6, year: 2022
    Method of publishing: Open access
    https://doi.org/10.1038/s41598-023-45788-8
    Permanent Link: https://hdl.handle.net/11104/0347085
     
     
  8. 8.
    0575198 - ÚTIA 2024 RIV DE eng C - Conference Paper (international conference)
    Siváková, Tereza - Kárný, Miroslav
    Experiments with the User’s Feedback in Preference Elicitation.
    AIABI-2022 : Artificial Intelligence and Applications for Business and Industries 2022. Achen: CEUR-WS, 2023. ceur-ws.org, 3463. E-ISSN 1613-0073.
    [Artificial Intelligence and Applications for Business and Industries 2022. Udine (IT), 27.11.2022-02.12.2022]
    Institutional support: RVO:67985556
    Keywords : Preference elicitation * Adaptive agent * Decision making * Bayes rule
    OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
    http://library.utia.cas.cz/separaty/2023/AS/sivakova-0575198.pdf
    Permanent Link: https://hdl.handle.net/11104/0345034
     
     
  9. 9.
    0574253 - ÚTIA 2024 RIV NL eng J - Journal Article
    Žíla, Eric - Kukačka, Jiří
    Moment set selection for the SMM using simple machine learning.
    Journal of Economic Behavior & Organization. Roč. 212, č. 1 (2023), s. 366-391. ISSN 0167-2681. E-ISSN 1879-1751
    R&D Projects: GA ČR GA20-14817S
    Institutional support: RVO:67985556
    Keywords : Agent-based model * Machine learning * Simulated method of moments * Stepwise selection
    OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
    Impact factor: 2.2, year: 2022
    Method of publishing: Limited access
    http://library.utia.cas.cz/separaty/2023/E/kukacka-0574253.pdf https://www.sciencedirect.com/science/article/pii/S0167268123001944?via%3Dihub
    Permanent Link: https://hdl.handle.net/11104/0344591
     
     
  10. 10.
    0573516 - ÚTIA 2024 RIV CZ eng J - Journal Article
    Rehák, Branislav - Lynnyk, Volodymyr
    CONSENSUS OF MULTI-AGENT SYSTEMS AND STABILIZATION OF LARGE-SCALE SYSTEMS WITH TIME DELAYS AND NONLINEARITIES - A COMPARISON OF BOTH PROBLEMS.
    Kybernetika. Roč. 59, č. 3 (2023), s. 461-483. ISSN 0023-5954
    Institutional support: RVO:67985556
    Keywords : Large-scale interconnected systems * Multi-agent systems * Time delays * Nonlinearity
    OECD category: Automation and control systems
    Impact factor: 0.5, year: 2022
    Method of publishing: Open access
    http://library.utia.cas.cz/separaty/2023/TR/rehak-0573516.pdf https://www.kybernetika.cz/content/2023/3/461
    Permanent Link: https://hdl.handle.net/11104/0344015
     
     

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