Results 81 to 90 of about 1,789,846 (196)
Reduced order model of flows by time-scaling interpolation of DNS data
A new reduced order model (ROM) is proposed here for reconstructing super-critical flow past circular cylinder and lid driven cavity using time-scaling of vorticity data directly.
Tapan K. Sengupta +4 more
doaj +1 more source
Monitoring circulating tumor DNA (ctDNA) in patients with operable breast cancer can reveal disease relapse earlier than radiology in a subset of patients. The failure to detect ctDNA in some patients with recurrent disease suggests that ctDNA could serve as a supplement to other monitoring approaches.
Kristin Løge Aanestad +35 more
wiley +1 more source
Reduced Order Modeling of an Industrial Feeder Model
Models of glaes furnaces are described by a set of nonlinear partial differential equâtioris which govern the mass, momentum and energy balances and a numberof non-linear functions of the independent scalais which describe the dependent variables like viscosities and densities in a fluid.
Astrid, P., Weiland, S., Twerda, A.
openaire +3 more sources
The LINC01116 long noncoding RNA is induced by hypoxia and associated with poor prognosis and high recurrence rates in two cohorts of lung adenocarcinoma patients. Here, we demonstrate that besides its expression in cancer cells, LINC01116 is markedly expressed in lymphatic endothelial cells of the tumor stroma in which it participates in hypoxia ...
Marine Gautier‐Isola +12 more
wiley +1 more source
Cell surface interactome analysis identifies TSPAN4 as a negative regulator of PD‐L1 in melanoma
Using cell surface proximity biotinylation, we identified tetraspanin TSPAN4 within the PD‐L1 interactome of melanoma cells. TSPAN4 negatively regulates PD‐L1 expression and lateral mobility by limiting its interaction with CMTM6 and promoting PD‐L1 degradation.
Guus A. Franken +7 more
wiley +1 more source
Deep-Learning-Based Reduced-Order Model for Power Generation Capacity of Flapping Foils. [PDF]
Saeed A +4 more
europepmc +1 more source
Construction of a reduced-order model based on tensor decomposition and its application to airbag deployment simulations. [PDF]
Sasagawa T, Tanaka M.
europepmc +1 more source
Multi-fidelity reduced-order surrogate modelling
High-fidelity numerical simulations of partial differential equations (PDEs) given a restricted computational budget can significantly limit the number of parameter configurations considered and/or time window evaluated. Multi-fidelity surrogate modelling aims to leverage less accurate, lower-fidelity models that are computationally ...
Paolo Conti +5 more
openaire +5 more sources
Reduced-Order Model Based on Neural Network of Roll Bending
Effective real-time control systems require fast and accurate models. The roll bending models presented in this paper are proposed for a real-time control system for the design of the rolling schedule.
Dmytro Svyetlichnyy
doaj +1 more source
Real time reduced order model for angiography fractional flow reserve. [PDF]
Hashemi J +3 more
europepmc +1 more source

