Results 41 to 50 of about 519,710 (307)
Advances in Mechanical Engineering, 2017 An improved particle swarm optimization method that has better equilibrium characteristic between global search and local search is proposed for parameter identification of hysteresis nonlinear dynamic model for piezoelectric positioning system.
Yu Xie, Jing-Li Fu, Ben-Yong Chen
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Simultaneous Regression and Selection in Nonlinear Modal Model Identification
Vibration, 2021 High fidelity finite element (FE) models are widely used to simulate the dynamic responses of geometrically nonlinear structures. The high computational cost of running long time duration analyses, however, has made nonlinear reduced order models (ROMs ...
Christopher Van Damme +3 more
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Data compression for estimation of the physical parameters of stable and unstable linear systems [PDF]
, 2005 A two-stage method for the identification of physical system parameters from experimental data is presented. The first stage compresses the data as an empirical model which encapsulates the data content at frequencies of interest.
An +28 more
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Molecular Oncology, EarlyView.Cytarabine is a key therapy for acute myeloid leukaemia (AML), but its efficacy is limited by the dNTPase SAMHD1, which hydrolyses its active metabolite. Screening nucleotide biosynthesis inhibitors revealed that IMPDH inhibitors selectively sensitise SAMHD1‐proficient AML cells to cytarabine.
Miriam Yagüe‐Capilla +9 more
wiley +1 more source
Nonlinear System Identification Using Quasi-ARX RBFN Models with a Parameter-Classified Scheme
Complexity, 2017 Quasi-linear autoregressive with exogenous inputs (Quasi-ARX) models have received considerable attention for their usefulness in nonlinear system identification and control. In this paper, identification methods of quasi-ARX type models are reviewed and
Lan Wang +4 more
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Model validation of spatiotemporal systems using correlation function tests [PDF]
, 2006 Model validation is an important and essential final step in system identification. Although model validation for nonlinear temporal systems has been extensively studied, model validation for spatiotemporal systems is still an open question.
Billings, S.A., Pan, Y.
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Sparse model identification using a forward orthogonal regression algorithm aided by mutual information [PDF]
, 2006 A sparse representation, with satisfactory approximation accuracy, is usually desirable in any nonlinear system identification and signal processing problem.
Billings, S.A., Wei, H.L.
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Molecular Oncology, EarlyView.Intratumour heterogeneity complicates precision management of advanced endometrial cancer. Circulating tumor DNA (ctDNA) offers a minimally invasive strategy to capture tumor evolution and therapeutic resistance. Here, we compare tumor‐agnostic NGS with tumor‐informed ddPCR, outlining their relative sensitivity, concordance, and clinical implications ...
Carlos Casas‐Arozamena +15 more
wiley +1 more source
Molecular Oncology, EarlyView.Ixazomib inhibits proteasome‐mediated degradation of topoisomerase I induced by irinotecan, thereby restoring drug sensitivity and promoting tumor cell death in colorectal cancer. Irinotecan, a topoisomerase I (topoI) inhibitor, is widely used for colorectal cancer, but resistance remains a major clinical challenge.
Yuho Ebata +10 more
wiley +1 more source
Archives of Acoustics, 2013 The development of digital signal processors and the increase in their computing capabilities bring opportunities to employ algorithms with multiple variable parameters in active noise control systems.
Tomasz KRUKOWICZ
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