Results 71 to 80 of about 4,793,633 (336)
Advanced model order reduction for high-dimensional aerospace control systems
Franklin OpenThis paper presents the two-sided iterative algorithm (TSIA) and its frequency-limited extension for H2 optimal, a robust framework for model order reduction of a high-dimensional nonlinear aerospace model.
Md. Shariful Islam +2 more
doaj +1 more source
Scalable Symbolic Model Order Reduction [PDF]
2008 IEEE International Behavioral Modeling and Simulation Workshop, 2008 Symbolic model order reduction (SMOR) is to reduce the complexity of a model with symbolic parameters. It is an important problem in analog circuit synthesis and digital circuit modeling with process variations. However, existing symbolic model order reduction (SMOR) methods do not scale well with the number of symbols or with the model order.
Yiyu Shi, Lei He, C.-J. Richard Shi
openaire +1 more source
Sequence determinants of RNA G‐quadruplex unfolding by Arg‐rich regions
FEBS Letters, EarlyView.We show that Arg‐rich peptides selectively unfold RNA G‐quadruplexes, but not RNA stem‐loops or DNA/RNA duplexes. This length‐dependent activity is inhibited by acidic residues and is conserved among SR and SR‐related proteins (SRSF1, SRSF3, SRSF9, U1‐70K, and U2AF1).
Naiduwadura Ivon Upekala De Silva +10 more
wiley +1 more source
FEBS Letters, EarlyView.The Ile181Asn variant of human UDP‐xylose synthase (hUXS1), associated with a short‐stature genetic syndrome, has previously been reported as inactive. Our findings demonstrate that Ile181Asn‐hUXS1 retains catalytic activity similar to the wild‐type but exhibits reduced stability, a looser oligomeric state, and an increased tendency to precipitate ...
Tuo Li +2 more
wiley +1 more source
Model order reduction for a flow past a wall-mounted cylinder
Archives of Mechanics, 2016 Reduced order models allow quickly predict fluid behaviour and to better understand flow phenomena. They are the key enablers of closed-loop flow control.
W. Stankiewicz +4 more
doaj +1 more source
A Review of Model Order Reduction Methods for Large-Scale Structure Systems
Shock and Vibration, 2021 The large-scale structure systems in engineering are complex, high dimensional, and variety of physical mechanism couplings; it will be difficult to analyze the dynamic behaviors of complex systems quickly and optimize system parameters.
Kuan Lu +7 more
doaj +1 more source
Cell wall target fragment discovery using a low‐cost, minimal fragment library
FEBS Letters, EarlyView.LoCoFrag100 is a fragment library made up of 100 different compounds. Similarity between the fragments is minimized and 10 different fragments are mixed into a single cocktail, which is soaked to protein crystals. These crystals are analysed by X‐ray crystallography, revealing the binding modes of the bound fragment ligands.
Kaizhou Yan +5 more
wiley +1 more source
Recycling BiCGSTAB with an Application to Parametric Model Order Reduction
, 2015 Krylov subspace recycling is a process for accelerating the convergence of sequences of linear systems. Based on this technique, the recycling BiCG algorithm has been developed recently.
Ahuja, Kapil +3 more
core +1 more source
FEBS Letters, EarlyView.We reconstituted Synechocystis glycogen synthesis in vitro from purified enzymes and showed that two GlgA isoenzymes produce glycogen with different architectures: GlgA1 yields denser, highly branched glycogen, whereas GlgA2 synthesizes longer, less‐branched chains.
Kenric Lee +3 more
wiley +1 more source
Study of the model-order reduction of the aerolastic behavior of a wing [PDF]
, 2016 The ultimate goal of this project is to construct a reduced-order model capable of providing real-time predictions of the aeroelastic behavior of a wing.
Rodeja Ferrer, Pep
core