Zobrazeno 1 - 10
of 392
pro vyhledávání: '"Lopez-Doriga A"'
This work introduces a formulation of resolvent analysis that uses wavelet transforms rather than Fourier transforms in time. Under this formulation, resolvent analysis may extend to turbulent flows with non-stationary mean states; the optimal resolv
Externí odkaz:
http://arxiv.org/abs/2404.06600
Resolvent analysis provides a framework to predict coherent spatio-temporal structures of largest linear energy amplification, through a singular value decomposition (SVD) of the resolvent operator, obtained by linearizing the Navier--Stokes equation
Externí odkaz:
http://arxiv.org/abs/2404.06331
Autor:
Lopez-Doriga, Barbara, Atzori, Marco, Vinuesa, Ricardo, Bae, H. Jane, Srivastava, Ankit, Dawson, Scott T. M.
This research focuses on the identification and causality analysis of coherent structures that arise in turbulent flows in square and rectangular ducts. Coherent structures are first identified from direct numerical simulation data via proper orthogo
Externí odkaz:
http://arxiv.org/abs/2401.06295
This work introduces a variant of resolvent analysis that identifies forcing and response modes that are sparse in both space and time. This is achieved through the use of a sparse principal component analysis (PCA) algorithm, which formulates the as
Externí odkaz:
http://arxiv.org/abs/2212.02741
This work introduces a formulation of resolvent analysis that uses wavelet transforms rather than Fourier transforms in time. This allows resolvent analysis to be extended to turbulent flows with non-stationary means in addition to statistically-stat
Externí odkaz:
http://arxiv.org/abs/2212.02660
Publikováno v:
AIAA Aviation 2022 Forum
This work applies resolvent analysis to incompressible flow through a rectangular duct, in order to identify dominant linear energy-amplification mechanisms present in such flows. In particular, we formulate the resolvent operator from linearizing th
Externí odkaz:
http://arxiv.org/abs/2205.13630
Autor:
Kjerpeseth, Lars J., Hjellvik, Vidar, Gulseth, Hanne L., Karlstad, Øystein, Lopez-Doriga Ruiz, Paz, Wensaas, Knut-Arne, Furu, Kari
Publikováno v:
In Diabetes Research and Clinical Practice January 2024 207
Autor:
Mosteiro, M., Azuara, D., Villatoro, S., Alay, A., Gausachs, M., Varela, M., Baixeras, N., Pijuan, L., Ajenjo-Bauza, M., Lopez-Doriga, A., Teulé, Á., Solanes, A., Palmero, R., Brenes, J., Jové, M., Padrones, S., Moreno, V., Cordero, D., Matías-Guiu, X., Lázaro, C., Nadal, E.
Publikováno v:
In ESMO Open December 2023 8(6)
Autor:
Anna Díez-Villanueva, Rebeca Sanz-Pamplona, Xavier Solé, David Cordero, Marta Crous-Bou, Elisabet Guinó, Adriana Lopez-Doriga, Antoni Berenguer, Susanna Aussó, Laia Paré-Brunet, Mireia Obón-Santacana, Ferran Moratalla-Navarro, Ramon Salazar, Xavier Sanjuan, Cristina Santos, Sebastiano Biondo, Virginia Diez-Obrero, Ainhoa Garcia-Serrano, Maria Henar Alonso, Robert Carreras-Torres, Adria Closa, Víctor Moreno
Publikováno v:
Scientific Data, Vol 9, Iss 1, Pp 1-8 (2022)
Measurement(s) Colon Gene expression • Colon DNA methylation • Colon Genptyping data • Colon Copy Number Variation • Colon miRNAs • Colon Whole Exome Sequencing Technology Type(s) Affymetrix Human Genome U219 Array Plate platform • Illumi
Externí odkaz:
https://doaj.org/article/03ae9e8750c74380ab1ccb0666fd7261
Autor:
Tomic, Dunya *, Morton, Jedidiah I, Chen, Lei, Salim, Agus, Gregg, Edward W, Pavkov, Meda E, Arffman, Martti, Balicer, Ran, Baviera, Marta, Boersma-van Dam, Elise, Brinks, Ralph, Carstensen, Bendix, Chan, Juliana C N, Cheng, Yiling J, Fosse-Edorh, Sandrine, Fuentes, Sonsoles, Gardiner, Hélène, Gulseth, Hanne L, Gurevicius, Romualdas, Ha, Kyoung Hwa, Hoyer, Annika, Jermendy, György, Kautzky-Willer, Alexandra, Keskimäki, Ilmo, Kim, Dae Jung, Kiss, Zoltán, Klimek, Peter, Leventer-Roberts, Maya, Lin, Chun-Yi, Lopez-Doriga Ruiz, Paz, Luk, Andrea O Y, Ma, Stefan, Mata-Cases, Manel, Mauricio, Dídac, McGurnaghan, Stuart, Imamura, Tomoaki, Paul, Sanjoy K, Peeters, Anna, Pildava, Santa, Porath, Avi, Robitaille, Cynthia, Roncaglioni, Maria Carla, Sugiyama, Takehiro, Wang, Kang-Ling, Wild, Sarah H, Yekutiel, Naama, Shaw, Jonathan E, Magliano, Dianna J
Publikováno v:
In The Lancet Diabetes & Endocrinology November 2022 10(11):795-803