Results 141 to 150 of about 24,860,274 (294)
Accuracy-enhancing methods for balancing-related frequency-weighted model and controller reduction [PDF]
, 2003 We consider the solution of the balancing-related frequency-weighted model and controller reduction problems using accuracy enhanced numerical algorithms.
Varga, Andras, Anderson, Brain D.O.
core
The VHL tumor suppressor at the crossroad of protein folding, aggregation, and cancer
Molecular Oncology, EarlyView.Mutations, environmental stress, and chaperone dysfunction can destabilize pVHL, promoting its conversion from the native folded state into amyloid‐like assemblies. This transition may contribute to protein storage, cell dormancy, survival, and drug resistance.
Lara Abad +2 more
wiley +1 more source
Molecular Oncology, EarlyView.This study identifies ARHGAP5, in addition to the frequently mutated ARHGAP35, as significantly mutated in endometrial cancer. Mutations in both genes co‐occur and are associated with their correlated downregulation. Functional CRISPR studies show that both paralogs regulate similar pathways, including actin cytoskeleton organization.
Mathilde Pinault +12 more
wiley +1 more source
Molecular Oncology, EarlyView.The kinase SRPK1 directly interacts with the protein TOPBP1 and regulates the pre‐mRNA splicing of WIZ thereby contributing to the activation of the ATR/CHK1 replicative checkpoint in response to replicative stress. This allows cancer cells' genomic stability and survival.
Amani Shreim +17 more
wiley +1 more source
Geometric Model Order Reduction
, 2018 During the past decade, model order reduction (MOR) has been successfully applied to reduce the computational complexity of elliptic and parabolic systems of partial differential equations (PDEs). However, MOR of hyperbolic equations remains a challenge.
openaire +1 more source
Model order reduction with applications [PDF]
, 2021 Model order reduction is an integral approach to solving high-dimensional systems of ordinary and partial differential equations. As the needs for processing large amounts of data, resulting in high-order models, are only increasing, this approach will understandably stay relevant. Reduced basis methods are discussed, with the focus being on the proper
openaire
Model Reduction by Rational Interpolation
, 2016 The last two decades have seen major developments in interpolatory methods for model reduction of large-scale linear dynamical systems. Advances of note include the ability to produce (locally) optimal reduced models at modest cost; refined methods for ...
Gugercin, Serkan +1 more
core
Controller reduction using accuracy-enhancing methods [PDF]
, 2005 The efficient solution of several classes of controller approximation problems by using frequency-weighted balancing related model reduction approaches is considered.
Varga, Andras
core
Optimal Model Order Reduction Technique for Dynamic Motor Vehicle Suspension Systems
Journal of Applied MathematicsHigh-fidelity full-vehicle suspension models with hundreds to thousands of states are computationally prohibitive for real-time control and virtual prototyping.
Kife I. Bin Iqbal +3 more
doaj +1 more source
FEBS Open Bio, EarlyView.RoboMic is an automated confocal microscopy pipeline for high‐throughput functional imaging in living cells. Demonstrated with fluorescence recovery after photobleaching (FRAP), it integrates AI‐driven nuclear segmentation, ROI selection, bleaching, and analysis.
Selçuk Yavuz +6 more
wiley +1 more source