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Wyszukujesz frazę "Galicia, M." wg kryterium: Autor

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    Wyświetlanie 1-2 z 2
    Tytuł:
    Thermal modelling of modern processors using FEM and compact model
    Autorzy:
    Galicia, M.
    Zając, P.
    Maj, C.
    Szermer, M.
    Napieralski, A.
    Powiązania:
    https://bibliotekanauki.pl/articles/397698.pdf
    Data publikacji:
    2015
    Wydawca:
    Politechnika Łódzka. Wydział Mikroelektroniki i Informatyki
    Tematy:
    thermal simulation
    finite-element method
    multi-core
    thermal modelling
    symulacje termiczne
    metoda elementów skończonych
    wielordzeniowość
    modelowanie cieplne
    Opis:
    A variety of thermal models has been proposed to predict the temperatures inside modern processors. In this paper, we describe and compare two such approaches, a detailed FEMbased simulation and a simpler architectural compact model. It is shown that both models provide comparable results when it comes to predicting the maximal temperature, however there are also non-negligible differences when estimating thermal gradients within a chip. Furthermore, transient simulation results show some differences in temperature profile during processor heating.
    Źródło:
    International Journal of Microelectronics and Computer Science; 2015, 6, 3; 110-116
    2080-8755
    2353-9607
    Pojawia się w:
    International Journal of Microelectronics and Computer Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Identification of potential CD8+ epitopes in pp62 polyprotein of African swine fever virus using computational immunology
    Autorzy:
    Galicia, Mark Lester C.
    Morales, Dale Jonathan M.
    Pogado, Precious Grace B.
    Quebrado, Ashley L.
    Herrera-Ong, Leana Rich
    Powiązania:
    https://bibliotekanauki.pl/articles/16714734.pdf
    Data publikacji:
    2023
    Wydawca:
    Polska Akademia Nauk. Czasopisma i Monografie PAN
    Tematy:
    African swine fever virus
    vaccine
    epitopes
    in silico
    pp62 polyprotein
    Opis:
    The highly infectious African swine fever virus (ASFV) is currently the only known DNA arbovirus within the Asfarviridae family which primarily infects domestic pigs and wild boars. African swine fever (ASF) leads to a mortality rate of up to 100% which has caused massive socio-economic losses worldwide. Previous research indicates that ASFV’s virulence can be attributed to polyprotein pp62, which plays a crucial role in viral assembly and core maturation. This particular study utilized in silico analysis to identify highly conserved cytotoxic T-cell epitopes in pp62 that can potentially serve as key components for future ASFV vaccines. To achieve this, the researchers retrieved, clustered, and aligned the peptide sequences of pp62. Subsequently, the aligned sequences were analyzed to identify epitopes that bind promiscuously to the swine major histocompatibility complex I (MHC I) alleles and exhibiting MHC IC50 values < 500 nM. Additionally, peptide sequences with positive proteasome and TAP scores were considered. Potential cross-reactivity was assessed by comparing the peptide sequences against available proteome sequences of Sus scrofa domesticus in various databases. Furthermore, molecular docking was conducted to evaluate the binding of candidate epitopes with swine leukocyte antigen-1*0401 (SLA-1*0401). The dissociation constants, binding energies, root mean square deviation, and root mean square fluctuation values for the SLA-epitope complexes were compared with a positive reference. In the course of the study, 21 highly conserved CD8+ epitopes were identified, out of which four were further assessed for their potential immunogenicity. The results demonstrated that the highly conserved CD8+ epitopes discovered in this study are promising for integration into future ASFV vaccine formulations. As preliminary data, it is anticipated that these findings will subsequently undergo in vitro and in vivo studies in the future.
    Źródło:
    BioTechnologia. Journal of Biotechnology Computational Biology and Bionanotechnology; 2023, 104, 3; 221-231
    0860-7796
    Pojawia się w:
    BioTechnologia. Journal of Biotechnology Computational Biology and Bionanotechnology
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-2 z 2

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