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A Reduced Order Model conditioned on monitoring features for estimation and uncertainty quantification in engineered systems

Autor: Vlachas, Konstantinos, Simpson, Thomas, Garland, Anthony, Quinn, D. Dane, Farhat, Charbel, Chatzi, Eleni

Reduced Order Models (ROMs) form essential tools across engineering domains by virtue of their function as surrogates for computationally intensive digital twinning simulators. Although purely data-driven methods are available for ROM construction, s

Externí odkaz: http://arxiv.org/abs/2407.17139

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Akademický článek

ENCORE: a practical implementation to improve reproducibility and transparency of computational research

Autor: Antoine H. C. van Kampen, Utkarsh Mahamune, Aldo Jongejan, Barbera D. C. van Schaik, Daria Balashova, Danial Lashgari, Mia Pras-Raves, Eric J. M. Wever, Adrie D. Dane, Rodrigo García-Valiente, Perry D. Moerland

Publikováno v: Nature Communications, Vol 15, Iss 1, Pp 1-14 (2024)

Abstract Reproducibility of computational research is often challenging despite established guidelines and best practices. Translating these guidelines into practical applications remains difficult. Here, we present ENCORE, an approach to enhance tra

Externí odkaz: https://doaj.org/article/c42772c7fef5476691f3d97c443e02ee

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Akademický článek

Four-dimensional lipidomics profiling in X-linked adrenoleukodystrophy using trapped ion mobility mass spectrometry

Autor: Yorrick R.J. Jaspers, Sven W. Meyer, Mia L. Pras-Raves, Inge M.E. Dijkstra, Eric J.M. Wever, Adrie D. Dane, Jan-Bert van Klinken, Gajja S. Salomons, Riekelt H. Houtkooper, Marc Engelen, Stephan Kemp, Michel Van Weeghel, Frédéric M. Vaz

Publikováno v: Journal of Lipid Research, Vol 65, Iss 6, Pp 100567- (2024)

Lipids play pivotal roles in an extensive range of metabolic and physiological processes. In recent years, the convergence of trapped ion mobility spectrometry and MS has enabled 4D-lipidomics, a highly promising technology for comprehensive lipid an

Externí odkaz: https://doaj.org/article/deec6247e3684b2caada44c6c89b50f6

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Akademický článek

A structure-preserving machine learning framework for accurate prediction of structural dynamics for systems with isolated nonlinearities

Autor: Najera-Flores, David A., Quinn, D. Dane, Garland, Anthony, Vlachas, Konstantinos, Chatzi, Eleni, Todd, Michael D.

Publikováno v: In Mechanical Systems and Signal Processing 1 May 2024 213

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Akademický článek

Adaptations of the 3T3-L1 adipocyte lipidome to defective ether lipid catabolism upon Agmo knockdown

Autor: Sabrina Sailer, Katharina Lackner, Mia L. Pras-Raves, Eric J.M. Wever, Jan B. van Klinken, Adriaan D. Dane, Stephan Geley, Jakob Koch, Georg Golderer, Gabriele Werner-Felmayer, Markus A. Keller, Werner Zwerschke, Frédéric M. Vaz, Ernst R. Werner, Katrin Watschinger

Publikováno v: Journal of Lipid Research, Vol 63, Iss 6, Pp 100222- (2022)

Little is known about the physiological role of alkylglycerol monooxygenase (AGMO), the only enzyme capable of cleaving the 1-O-alkyl ether bond of ether lipids. Expression and enzymatic activity of this enzyme can be detected in a variety of tissues

Externí odkaz: https://doaj.org/article/2dea3320485f4a99830874c9c9ea55f9

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