Results 181 to 190 of about 8,027,948 (326)

Nonlinear Parametid Model Order Reduction

, 2023
Model order reduction techniques are a powerful tool to ease the computational burden of simulating complex systems. By reducing the dimensionality of high-fidelity models, while preserving essential system dynamics, model order reduction enables faster and more efficient simulations without compromising accuracy.
openaire   +1 more source

TRAIL‐PEG‐Apt‐PLGA nanosystem as an aptamer‐targeted drug delivery system potential for triple‐negative breast cancer therapy using in vivo mouse model

Molecular Oncology, EarlyView.
Aptamers are used both therapeutically and as targeting agents in cancer treatment. We developed an aptamer‐targeted PLGA–TRAIL nanosystem that exhibited superior therapeutic efficacy in NOD/SCID breast cancer models. This nanosystem represents a novel biotechnological drug candidate for suppressing resistance development in breast cancer.
Gulen Melike Demirbolat, Aslihan Kucuk, Omer Erdogan, Samed Ozer, Bensu Kozan, Tugba Cuceli, Erkan Gumus, Evrim Cevik, Ozge Cevik   +8 more
wiley   +1 more source

Optimized PID controller and model order reduction of reheated turbine for load frequency control using teaching learning-based optimization. [PDF]

Sci Rep
Singh A, Yadav S, Tiwari N, Nishad DK, Khalid S.   +4 more
europepmc   +1 more source

Data-driven parameterized model order reduction using z-domain multivariate orthonormal vector fitting technique [PDF]

, 2011
A.E. Ruehli, B. Gustavsen, B. Gustavsen, C. Sanathanan, D. Deschrijver, D. Deschrijver, E.C. Levi, F. Ferranti, J. Ureel, J.M. Jin, J.W. Bandler, K.C. Sou, N. Wong, N.K. Nikolova, P. Liu, P.S.C. Heuberger, R.F. Harrington, T. Dhaene, U.M. Al-Saggaf   +18 more
core   +2 more sources

Model Order Reduction : Volume 2: Snapshot-Based Methods and Algorithms

, 2020
P. Benner, W. Schilders, S. Grivet-Talocia, A. Quarteroni, G. Rozza, L. M. Silveira   +5 more
semanticscholar   +1 more source

Tumour–host interactions in Drosophila: mechanisms in the tumour micro‐ and macroenvironment

Molecular Oncology, EarlyView.
This review examines how tumour–host crosstalk takes place at multiple levels of biological organisation, from local cell competition and immune crosstalk to organism‐wide metabolic and physiological collapse. Here, we integrate findings from Drosophila melanogaster studies that reveal conserved mechanisms through which tumours hijack host systems to ...
José Teles‐Reis, Tor Erik Rusten
wiley   +1 more source

A robust computational technique for model order reduction of two-time-scale discrete systems via genetic algorithms. [PDF]

Comput Intell Neurosci, 2015
Alsmadi OM, Abo-Hammour ZS.
europepmc   +1 more source

RaMBat: Accurate identification of medulloblastoma subtypes from diverse data sources with severe batch effects

Molecular Oncology, EarlyView.
To integrate multiple transcriptomics data with severe batch effects for identifying MB subtypes, we developed a novel and accurate computational method named RaMBat, which leveraged subtype‐specific gene expression ranking information instead of absolute gene expression levels to address batch effects of diverse data sources.
Mengtao Sun, Jieqiong Wang, Shibiao Wan
wiley   +1 more source

Editorial: Advanced materials modeling combining model order reduction and data science

Frontiers in Materials, 2023
Chady Ghnatios, Chady Ghnatios, Anais Barasinski, Elias Cueto   +3 more
doaj   +1 more source

A partitioned model order reduction approach to rationalise computational expenses in nonlinear fracture mechanics. [PDF]

Comput Methods Appl Mech Eng, 2013
Kerfriden P, Goury O, Rabczuk T, Bordas SP, Bordas SP.   +4 more
europepmc   +1 more source