Zobrazeno 1 - 10
of 84
pro vyhledávání: '"Steinar, Evje"'
Publikováno v:
IEEE Access, Vol 11, Pp 54897-54909 (2023)
In contemporary research, neural networks are being used to derive Ordinary Differential Equations (ODEs) from observations. However, parameterized ODEs pose a more significant challenge than non-parameterized ODEs since the networks are required to
Externí odkaz:
https://doaj.org/article/70ade2bb6bfd4ef4ba6716feae9aca5e
Publikováno v:
Mathematics in Engineering, Vol 4, Iss 6, Pp 1-24 (2022)
In this work we explore a recently proposed biphasic cell-fluid chemotaxis-Stokes model which is able to represent two competing cancer cell migration mechanisms reported from experimental studies. Both mechanisms depend on the fluid flow but in a co
Externí odkaz:
https://doaj.org/article/1a27cb87cc05457facafd7cacda0ea90
Publikováno v:
Physica D: Nonlinear Phenomena. 451:133773
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::80d801df77485f0e107a3e8d8b16fd07
https://doi.org/10.1016/j.physd.2023.133773
https://doi.org/10.1016/j.physd.2023.133773
Autor:
Qing Li, Steinar Evje
Publikováno v:
Networks and Heterogeneous Media. 18:48-79
Nonlinear conservation laws are widely used in fluid mechanics, biology, physics, and chemical engineering. However, deriving such nonlinear conservation laws is a significant and challenging problem. A possible attractive approach is to extract cons
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::08640714343c0ca60ca8103054a9e90e
https://doi.org/10.3934/nhm.2023003
https://doi.org/10.3934/nhm.2023003
Publikováno v:
Proceedings of the Northern Lights Deep Learning Workshop; Vol. 4 (2023): Proceedings of the Northern Lights Deep Learning Workshop 2023
Nonlinear Conservation Laws of Partial Differential Equations (PDEs) are widely used in different domains. Solving these types of equations is a significant and challenging task. Graph Neural Networks (GNNs) have recently been established as fast and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::60858f6372b2c8cd7ef1d6bc42573883
https://septentrio.uit.no/index.php/nldl/article/view/6808
https://septentrio.uit.no/index.php/nldl/article/view/6808
Autor:
Yangyang Qiao, Steinar Evje
Publikováno v:
Mathematical Models and Methods in Applied Sciences. 30:1167-1215
The main purpose of this work is to explore a general cell–fluid model which is based on a mixture theory formulation that accounts for the interplay between oxytactically (chemotaxis toward gradient in oxygen) moving bacteria cells in water and th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5dab7780d4778d78da57445968b76532
https://doi.org/10.1142/s0218202520400096
https://doi.org/10.1142/s0218202520400096
Publikováno v:
Journal of Biomechanics
A remarkable feature in pancreatic cancer is the propensity to metastasize early, even for small, early stage cancers. We use a computer-based pancreatic model to simulate tumor progression behavior where fluid-sensitive migration mechanisms are acco
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f76212c5b0185faaf34f1a997d0dcd0f
https://doi.org/10.1016/j.jbiomech.2022.111362
https://doi.org/10.1016/j.jbiomech.2022.111362
Publikováno v:
Biomechanics and Modeling in Mechanobiology. 18:1047-1078
It has been demonstrated that interstitial fluid (IF) flow can play a crucial role in tumor cell progression. Swartz and collaborators (Cancer Cell 11: 526-538, Shields et al. 2007) demonstrated that cells that secrete the lymphoid homing chemokines
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::455aa7bb077db3a23425a33b1933626b
https://doi.org/10.1007/s10237-019-01128-2
https://doi.org/10.1007/s10237-019-01128-2
Publikováno v:
Networks & Heterogeneous Media. 14:489-536
The purpose of this work is to carry out investigations of a generalized two-phase model for porous media flow. The momentum balance equations account for fluid-rock resistance forces as well as fluid-fluid drag force effects, in addition, to interna
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1c06632492d787f4994f7952bef1b545
https://doi.org/10.3934/nhm.2019020
https://doi.org/10.3934/nhm.2019020
Autor:
Steinar Evje, Jahn Otto Waldeland
Publikováno v:
Chemical Engineering Science. 191:268-287
It has been demonstrated that interstitial fluid (IF) flow can play a crucial role in tumor cell progression. In the seminal works by Swartz and collaborators (Fleury et al., 2006; Shields et al., 2007) it was discovered that due to this flow, chemok
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ac450fee6e9feb7d021a3f7858d0140f
https://doi.org/10.1016/j.ces.2018.06.076
https://doi.org/10.1016/j.ces.2018.06.076