Showing 181 - 200 results of 275 for search '((pinnau OR (fine OR (qingge OR xingge))) OR ((min OR (sspingn OR (esminga OR sabina))) OR ping))', query time: 0.31s Refine Results
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    Determination of adjusted reference intervals of urinary biomarkers of oxidative stress in healthy adults using GAMLSS models by Chamitava, Liliya, Garcia-Larsen, Vanessa, Cazzoletti, Lucia, Degan, Paolo, Pasini, Andrea, Bellisario, Valeria, Corsico, Angelo G., Nicolis, Morena, Olivieri, Mario, Pirina, Pietro, Ferrari, Marcello, Stasinopoulos, Dimitrios, Zanolin, Maria E.

    Published 2018
    “…The RI of the biomarkers stratified by season and adjusted for DFC showed a slight statistically significant decrease in the biomarkers at the increasing DFC in two seasons, except the 8-oxodG during the warm season: median levels at the min and max values of DFC were (ng/mgcreat) 7.0-1.1 in the cold and 3.9-3.9 in the warm seasons for 8-oxodG, 0.7-0.2 in the cold and 1.3-0.6 in the warm seasons for 8-isoprostane. …”
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  4. 184

    Remote determination of critical speed and critical power in recreational runners by Hunter, Ben, Ledger, Adam, Muniz-Pumares, Daniel

    Published 2023
    “…CS and D', and CP and W', were calculated from the best 3-, 7-, and 12-minute segments recorded in the first 6 weeks of their HAB and in random order in weeks 7 and 8 from 3 TTs (3, 7, and 12 min) and three 3MTs (to assess test-retest reliability). …”
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    Revolutionizing intrusion detection in industrial IoT with distributed learning and deep generative techniques by Hamouda, Djallel, Ferrag, Mohamed Amine, Nadjette, Benhamida, Hamid, Seridi, Ghanem, Mohamed Chahine

    Published 2024
    “…Concurrently, we address the issues of imbalanced and distributed data and deploy a data curation technique to align generated data within specific constraints. 2) A secondary model fine-tunes local Critics for enhanced resilience and detection of various adversarial attacks. 3) The third model focuses on precise cyber threat identification, leveraging augmented data for improved training under a synthetic federated learning schema, bolstering detection capability, especially against zero-day threats. …”
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